Finance Magnates Data Lab found that out of nearly 1,000 finance jobs, only one in three had “AI” in the title. They offer 4% higher salaries on average.
Over 70% of finance roles mentioned AI tools or skills in the description.
A few months ago, we were doing what we often do in the office: coffee in hand, casually chatting about everything from work to politics. As always, the conversation turned to AI (in our office it’s always either “let’s get a coffee” or AI) and how it’s reshaping our work and hiring trends.
Then one of the team leaned back and asked, “We’re using AI every day… but are companies actually calling these ‘AI jobs’ now?”
The question stuck. So we did what the Finance Magnates Data Lab does best: rolled up our sleeves, dimmed the lights, and looked at the data.
Several months later, we compiled and analysed over 10,000 global AI-related job listings and 5,000 job entries from more than 400 brokers. We also spoke with leaders and digital transformation experts from across the financial industry. And what we found sent a surprisingly clear message:
Finance is adopting AI – that’s no surprise – but it’s doing so with structure, not noise.
Let’s look at the numbers to see how the finance industry is steadily shaping the AI story in its own way.
Some industries, like gaming and tech, love to talk about AI. We attended an expo a few months back, and AI was mentioned more than greetings. Within finance, though, it’s becoming more selective.
In the data we reviewed, just over 35% of finance job listings featured AI in the title, putting the sector in the top tier – but still behind more AI-driven industries. Examples include roles like AI Specialist, AI Product Manager, and Head of AI. These are starting to appear, but they’re not yet common.
Fotini Masia, Group Head of HR, Ultimate Group
This is
not only a cautious approach, it’s a
calculated one.
Unlike other sectors racing to appear innovative,
finance is more deliberate, adding AI to job titles only when the role actually
demands AI design, deployment, or governance.
“In today’s global job market, AI is rarely listed as a required skill in job descriptions... There’s a clear need for proper education on how AI can benefit both individuals and organisations,” said Fotini Masia, Group Head of HR, Ultimate Group, the owner of the FinanceMagnates.com brand.
At first glance, this appears to contradict our findings, where over 70% of finance roles in our dataset mentioned AI tools or skills in the description. But that gap may highlight the issue itself: AI is being used daily, yet many companies don’t clearly list it as a requirement or include it in the job title, leaving candidates unaware of how central AI actually is to the role.
Within the financial industry, it’s clear that AI is not just for engineers and developers. The most common job titles – such as AI Research Scientist and AI Product Manager – show that these are roles involved in decision-making and shaping strategy. They are not just technical roles.
In other industries, we see more technically focused titles like AI Developer or NLP Engineer, where the work is mostly centred around building models.
Donna Stephenson, founder and CEO Emerald Zebra
Finance
is in fact embedding AI at the business layer, not just in the back end.
“If anything, companies use ‘AI’ in titles only when clearly justified... The financial sector isn’t behind; it’s just more conservative about inflating titles without purpose,” said Donna Stephenson, Founder of Emerald Zebra.
This is exactly what we see in the data: finance is a large industry, and an AI-related title signals a serious investment – not just an attempt to create buzz or follow a trend.
The Regional Picture
The regional breakdown of AI-related job titles paints three very different pictures. China leads, with over 37% of roles carrying an AI title, but these positions offer the lowest average salary – around $87,000 gross per year.
At the other end of the spectrum, the US pays nearly double, averaging $150,000 annually for similar roles, even though the use of AI in job titles drops slightly to about 36%.
Konstantinos Kareklas, Group Chief Digital Officer, Ultimate Group
The EU sits in the middle, with a more cautious title adoption rate of around 35% and salaries of approximately $125,000 – closely aligned with the global average for AI-related finance roles.
It’s not about how loudly you label AI; it’s about how deeply you integrate it into the business.
Now let’s take a closer look at the AI roles in finance. This isn’t surprising, as we know the most in-demand skills include Python, SQL, Linux, and similar tools. These are roles for people who build the systems, not just use them.
And yes, many of these roles don’t have “AI” in their job titles, which further shows how cautious the finance industry is with labelling.
“Everyone in our Group is using AI-powered tools... but the implementation is still at team level, not across the entire organisation,” added Kareklas.
So What Does This All Tell Us?
We didn’t begin this research looking for a headline. We simply wanted to understand how AI is actually being integrated into finance – not as a trend, but as a working part of the business.
What we found is straightforward but meaningful: AI in finance isn’t being overhyped, it’s being managed. The job titles may not shout “AI shift”, but the tools, workflows, and responsibilities are steadily changing behind the scenes.
Rather than exaggerating job descriptions, financial firms are being careful – building skills first, and only adding AI to the title when it truly defines the role.
That’s not slow. That’s deliberate. And in this industry, deliberate usually works best.
Final Thought
As AI tools become standard across research, compliance, reporting, and marketing, job titles will catch up – but only when it matters. The real story isn’t about what’s in the job title; it’s about what’s behind it.
Whether it’s Python in the backend, a summarisation model on the frontend, or an AI-powered decision engine in the middle, the shift is already under way.
Finance isn’t just hiring for AI. It’s building with it.
And as Kareklas puts it:
“The fintech organisations that will lead the global market won’t be the ones with the largest AI departments... They’ll be the ones that build an AI culture in a decentralised, cross-functional framework.”
It brings me back to that coffee conversation: “Where are all the AI job titles?” At the time, it felt like a throwaway question. Now, I think it might be the one that actually matters.
Maybe the real question isn’t why we don’t see “AI” in more titles – maybe it’s because AI isn’t replacing jobs. It’s being folded into them. Quietly. Naturally. Like Excel once was.
Not
something flashy. Just another skill added to the stack.
And as rabbit holes go, this one could go on forever. There’s always another layer to explore, another pattern to follow, another trend to check. That’s what we do at the Finance Magnates Data Lab. And honestly? We enjoy that part.
But for now, I’ll leave you with a few of the questions that stayed with me after pulling all this together:
If AI is already part of the work, not just the title, how should we be measuring adoption?
Are we underestimating how much AI is influencing decisions simply because it isn’t labelled?
Should we be rethinking how roles are named, or is AI just becoming a part of every role by default?
What does it say about a company’s culture if everyone is using AI but no one is naming it?
And most of all: when we say “AI is coming for jobs”, do we really mean it’s just… quietly merging with them?
Let’s see where the next coffee conversation takes us.
A few months ago, we were doing what we often do in the office: coffee in hand, casually chatting about everything from work to politics. As always, the conversation turned to AI (in our office it’s always either “let’s get a coffee” or AI) and how it’s reshaping our work and hiring trends.
Then one of the team leaned back and asked, “We’re using AI every day… but are companies actually calling these ‘AI jobs’ now?”
The question stuck. So we did what the Finance Magnates Data Lab does best: rolled up our sleeves, dimmed the lights, and looked at the data.
Several months later, we compiled and analysed over 10,000 global AI-related job listings and 5,000 job entries from more than 400 brokers. We also spoke with leaders and digital transformation experts from across the financial industry. And what we found sent a surprisingly clear message:
Finance is adopting AI – that’s no surprise – but it’s doing so with structure, not noise.
Let’s look at the numbers to see how the finance industry is steadily shaping the AI story in its own way.
Some industries, like gaming and tech, love to talk about AI. We attended an expo a few months back, and AI was mentioned more than greetings. Within finance, though, it’s becoming more selective.
In the data we reviewed, just over 35% of finance job listings featured AI in the title, putting the sector in the top tier – but still behind more AI-driven industries. Examples include roles like AI Specialist, AI Product Manager, and Head of AI. These are starting to appear, but they’re not yet common.
Fotini Masia, Group Head of HR, Ultimate Group
This is
not only a cautious approach, it’s a
calculated one.
Unlike other sectors racing to appear innovative,
finance is more deliberate, adding AI to job titles only when the role actually
demands AI design, deployment, or governance.
“In today’s global job market, AI is rarely listed as a required skill in job descriptions... There’s a clear need for proper education on how AI can benefit both individuals and organisations,” said Fotini Masia, Group Head of HR, Ultimate Group, the owner of the FinanceMagnates.com brand.
At first glance, this appears to contradict our findings, where over 70% of finance roles in our dataset mentioned AI tools or skills in the description. But that gap may highlight the issue itself: AI is being used daily, yet many companies don’t clearly list it as a requirement or include it in the job title, leaving candidates unaware of how central AI actually is to the role.
Within the financial industry, it’s clear that AI is not just for engineers and developers. The most common job titles – such as AI Research Scientist and AI Product Manager – show that these are roles involved in decision-making and shaping strategy. They are not just technical roles.
In other industries, we see more technically focused titles like AI Developer or NLP Engineer, where the work is mostly centred around building models.
Donna Stephenson, founder and CEO Emerald Zebra
Finance
is in fact embedding AI at the business layer, not just in the back end.
“If anything, companies use ‘AI’ in titles only when clearly justified... The financial sector isn’t behind; it’s just more conservative about inflating titles without purpose,” said Donna Stephenson, Founder of Emerald Zebra.
This is exactly what we see in the data: finance is a large industry, and an AI-related title signals a serious investment – not just an attempt to create buzz or follow a trend.
The Regional Picture
The regional breakdown of AI-related job titles paints three very different pictures. China leads, with over 37% of roles carrying an AI title, but these positions offer the lowest average salary – around $87,000 gross per year.
At the other end of the spectrum, the US pays nearly double, averaging $150,000 annually for similar roles, even though the use of AI in job titles drops slightly to about 36%.
Konstantinos Kareklas, Group Chief Digital Officer, Ultimate Group
The EU sits in the middle, with a more cautious title adoption rate of around 35% and salaries of approximately $125,000 – closely aligned with the global average for AI-related finance roles.
It’s not about how loudly you label AI; it’s about how deeply you integrate it into the business.
Now let’s take a closer look at the AI roles in finance. This isn’t surprising, as we know the most in-demand skills include Python, SQL, Linux, and similar tools. These are roles for people who build the systems, not just use them.
And yes, many of these roles don’t have “AI” in their job titles, which further shows how cautious the finance industry is with labelling.
“Everyone in our Group is using AI-powered tools... but the implementation is still at team level, not across the entire organisation,” added Kareklas.
So What Does This All Tell Us?
We didn’t begin this research looking for a headline. We simply wanted to understand how AI is actually being integrated into finance – not as a trend, but as a working part of the business.
What we found is straightforward but meaningful: AI in finance isn’t being overhyped, it’s being managed. The job titles may not shout “AI shift”, but the tools, workflows, and responsibilities are steadily changing behind the scenes.
Rather than exaggerating job descriptions, financial firms are being careful – building skills first, and only adding AI to the title when it truly defines the role.
That’s not slow. That’s deliberate. And in this industry, deliberate usually works best.
Final Thought
As AI tools become standard across research, compliance, reporting, and marketing, job titles will catch up – but only when it matters. The real story isn’t about what’s in the job title; it’s about what’s behind it.
Whether it’s Python in the backend, a summarisation model on the frontend, or an AI-powered decision engine in the middle, the shift is already under way.
Finance isn’t just hiring for AI. It’s building with it.
And as Kareklas puts it:
“The fintech organisations that will lead the global market won’t be the ones with the largest AI departments... They’ll be the ones that build an AI culture in a decentralised, cross-functional framework.”
It brings me back to that coffee conversation: “Where are all the AI job titles?” At the time, it felt like a throwaway question. Now, I think it might be the one that actually matters.
Maybe the real question isn’t why we don’t see “AI” in more titles – maybe it’s because AI isn’t replacing jobs. It’s being folded into them. Quietly. Naturally. Like Excel once was.
Not
something flashy. Just another skill added to the stack.
And as rabbit holes go, this one could go on forever. There’s always another layer to explore, another pattern to follow, another trend to check. That’s what we do at the Finance Magnates Data Lab. And honestly? We enjoy that part.
But for now, I’ll leave you with a few of the questions that stayed with me after pulling all this together:
If AI is already part of the work, not just the title, how should we be measuring adoption?
Are we underestimating how much AI is influencing decisions simply because it isn’t labelled?
Should we be rethinking how roles are named, or is AI just becoming a part of every role by default?
What does it say about a company’s culture if everyone is using AI but no one is naming it?
And most of all: when we say “AI is coming for jobs”, do we really mean it’s just… quietly merging with them?
Let’s see where the next coffee conversation takes us.
With over 16 years of experience in data-driven marketing within the financial industry, Ramzi Ahmad has developed expertise across Fintech, Crypto, Payments, and Online Trading markets. He has led teams to improve efficiency and drive growth for dozens of financial brands through actionable data insights. Ramzi continues to advance his skills through courses at institutions like Harvard and Cambridge, ensuring the highest standards of data accuracy.
United Fintech Scores Sixth Backer Days After Barclays Deal
Featured Videos
Executive Interview | Charlotte Bullock | Chief Product Officer, Bank of London | FMLS:25
Executive Interview | Charlotte Bullock | Chief Product Officer, Bank of London | FMLS:25
Executive Interview | Charlotte Bullock | Chief Product Officer, Bank of London | FMLS:25
Executive Interview | Charlotte Bullock | Chief Product Officer, Bank of London | FMLS:25
In this interview, we sat down with Charlotte Bullock, Head of Product at The Bank of London, previously at SAP and now shaping product at one of the sector’s most ambitious new banking players.
Charlotte reflects on the Summit so far and talks about the culture inside fintech banks today. We look at the pressures that come with scaling, and how firms can hold onto the nimble approach that made them stand out early on.
We also cover the state of payments ahead of her appearance on the payments roundtable: the blockages financial firms face, the areas that still need fixing, and what a realistic solution looks like in 2026.
In this interview, we sat down with Charlotte Bullock, Head of Product at The Bank of London, previously at SAP and now shaping product at one of the sector’s most ambitious new banking players.
Charlotte reflects on the Summit so far and talks about the culture inside fintech banks today. We look at the pressures that come with scaling, and how firms can hold onto the nimble approach that made them stand out early on.
We also cover the state of payments ahead of her appearance on the payments roundtable: the blockages financial firms face, the areas that still need fixing, and what a realistic solution looks like in 2026.
In this interview, we sat down with Charlotte Bullock, Head of Product at The Bank of London, previously at SAP and now shaping product at one of the sector’s most ambitious new banking players.
Charlotte reflects on the Summit so far and talks about the culture inside fintech banks today. We look at the pressures that come with scaling, and how firms can hold onto the nimble approach that made them stand out early on.
We also cover the state of payments ahead of her appearance on the payments roundtable: the blockages financial firms face, the areas that still need fixing, and what a realistic solution looks like in 2026.
In this interview, we sat down with Charlotte Bullock, Head of Product at The Bank of London, previously at SAP and now shaping product at one of the sector’s most ambitious new banking players.
Charlotte reflects on the Summit so far and talks about the culture inside fintech banks today. We look at the pressures that come with scaling, and how firms can hold onto the nimble approach that made them stand out early on.
We also cover the state of payments ahead of her appearance on the payments roundtable: the blockages financial firms face, the areas that still need fixing, and what a realistic solution looks like in 2026.
In this conversation, we sit down with Drew Niv, CSO at ATFX Connect and one of the most influential figures in modern FX.
We speak about market structure, the institutional view on liquidity, and the sharp rise of prop trading, a sector Drew has been commenting on in recent months. Drew explains why he once dismissed prop trading, why his view changed, and what he now thinks the model means for brokers, clients and risk managers.
We explore subscription-fee dependency, the high reneging rate, and the long-term challenge: how brokers can build a more stable and honest version of the model. Drew also talks about the traffic advantage standalone prop firms have built and why brokers may still win in the long run if they take the right approach.
In this conversation, we sit down with Drew Niv, CSO at ATFX Connect and one of the most influential figures in modern FX.
We speak about market structure, the institutional view on liquidity, and the sharp rise of prop trading, a sector Drew has been commenting on in recent months. Drew explains why he once dismissed prop trading, why his view changed, and what he now thinks the model means for brokers, clients and risk managers.
We explore subscription-fee dependency, the high reneging rate, and the long-term challenge: how brokers can build a more stable and honest version of the model. Drew also talks about the traffic advantage standalone prop firms have built and why brokers may still win in the long run if they take the right approach.
In this conversation, we sit down with Drew Niv, CSO at ATFX Connect and one of the most influential figures in modern FX.
We speak about market structure, the institutional view on liquidity, and the sharp rise of prop trading, a sector Drew has been commenting on in recent months. Drew explains why he once dismissed prop trading, why his view changed, and what he now thinks the model means for brokers, clients and risk managers.
We explore subscription-fee dependency, the high reneging rate, and the long-term challenge: how brokers can build a more stable and honest version of the model. Drew also talks about the traffic advantage standalone prop firms have built and why brokers may still win in the long run if they take the right approach.
In this conversation, we sit down with Drew Niv, CSO at ATFX Connect and one of the most influential figures in modern FX.
We speak about market structure, the institutional view on liquidity, and the sharp rise of prop trading, a sector Drew has been commenting on in recent months. Drew explains why he once dismissed prop trading, why his view changed, and what he now thinks the model means for brokers, clients and risk managers.
We explore subscription-fee dependency, the high reneging rate, and the long-term challenge: how brokers can build a more stable and honest version of the model. Drew also talks about the traffic advantage standalone prop firms have built and why brokers may still win in the long run if they take the right approach.
In this conversation, we sit down with Drew Niv, CSO at ATFX Connect and one of the most influential figures in modern FX.
We speak about market structure, the institutional view on liquidity, and the sharp rise of prop trading, a sector Drew has been commenting on in recent months. Drew explains why he once dismissed prop trading, why his view changed, and what he now thinks the model means for brokers, clients and risk managers.
We explore subscription-fee dependency, the high reneging rate, and the long-term challenge: how brokers can build a more stable and honest version of the model. Drew also talks about the traffic advantage standalone prop firms have built and why brokers may still win in the long run if they take the right approach.
In this conversation, we sit down with Drew Niv, CSO at ATFX Connect and one of the most influential figures in modern FX.
We speak about market structure, the institutional view on liquidity, and the sharp rise of prop trading, a sector Drew has been commenting on in recent months. Drew explains why he once dismissed prop trading, why his view changed, and what he now thinks the model means for brokers, clients and risk managers.
We explore subscription-fee dependency, the high reneging rate, and the long-term challenge: how brokers can build a more stable and honest version of the model. Drew also talks about the traffic advantage standalone prop firms have built and why brokers may still win in the long run if they take the right approach.
Executive Interview | Remonda Z. Kirketerp Møller| CEO & Founder Muinmos | FMLS:25
Executive Interview | Remonda Z. Kirketerp Møller| CEO & Founder Muinmos | FMLS:25
Executive Interview | Remonda Z. Kirketerp Møller| CEO & Founder Muinmos | FMLS:25
Executive Interview | Remonda Z. Kirketerp Møller| CEO & Founder Muinmos | FMLS:25
Executive Interview | Remonda Z. Kirketerp Møller| CEO & Founder Muinmos | FMLS:25
Executive Interview | Remonda Z. Kirketerp Møller| CEO & Founder Muinmos | FMLS:25
In this interview, Remonda Z. Kirketerp Møller, founder of Muinmos, breaks down the state of AI in regtech and what responsible adoption really looks like for brokers. We talk about rising fragmentation, the pressures around compliance accuracy, and why most firms are still in the early stages of AI maturity.
Ramanda also shares insights on regulator sandboxes, shifting expectations around accountability, and the current reality of MiCA licensing and passporting in Europe.
A concise look at where compliance, onboarding, and AI-driven processes are heading next.
In this interview, Remonda Z. Kirketerp Møller, founder of Muinmos, breaks down the state of AI in regtech and what responsible adoption really looks like for brokers. We talk about rising fragmentation, the pressures around compliance accuracy, and why most firms are still in the early stages of AI maturity.
Ramanda also shares insights on regulator sandboxes, shifting expectations around accountability, and the current reality of MiCA licensing and passporting in Europe.
A concise look at where compliance, onboarding, and AI-driven processes are heading next.
In this interview, Remonda Z. Kirketerp Møller, founder of Muinmos, breaks down the state of AI in regtech and what responsible adoption really looks like for brokers. We talk about rising fragmentation, the pressures around compliance accuracy, and why most firms are still in the early stages of AI maturity.
Ramanda also shares insights on regulator sandboxes, shifting expectations around accountability, and the current reality of MiCA licensing and passporting in Europe.
A concise look at where compliance, onboarding, and AI-driven processes are heading next.
In this interview, Remonda Z. Kirketerp Møller, founder of Muinmos, breaks down the state of AI in regtech and what responsible adoption really looks like for brokers. We talk about rising fragmentation, the pressures around compliance accuracy, and why most firms are still in the early stages of AI maturity.
Ramanda also shares insights on regulator sandboxes, shifting expectations around accountability, and the current reality of MiCA licensing and passporting in Europe.
A concise look at where compliance, onboarding, and AI-driven processes are heading next.
In this interview, Remonda Z. Kirketerp Møller, founder of Muinmos, breaks down the state of AI in regtech and what responsible adoption really looks like for brokers. We talk about rising fragmentation, the pressures around compliance accuracy, and why most firms are still in the early stages of AI maturity.
Ramanda also shares insights on regulator sandboxes, shifting expectations around accountability, and the current reality of MiCA licensing and passporting in Europe.
A concise look at where compliance, onboarding, and AI-driven processes are heading next.
In this interview, Remonda Z. Kirketerp Møller, founder of Muinmos, breaks down the state of AI in regtech and what responsible adoption really looks like for brokers. We talk about rising fragmentation, the pressures around compliance accuracy, and why most firms are still in the early stages of AI maturity.
Ramanda also shares insights on regulator sandboxes, shifting expectations around accountability, and the current reality of MiCA licensing and passporting in Europe.
A concise look at where compliance, onboarding, and AI-driven processes are heading next.
In this conversation, we speak with Aydin Bonabi, CEO and co-founder of Surveill, a firm focused on fraud detection and AI-driven compliance tools for financial institutions.
We start with Aydin’s view of the Summit and the challenges brokers face as fraud tactics grow more complex. He explains how firms can stay ahead through real-time signals, data patterns, and early-stage detection.
We also talk about AI training and why compliance teams often struggle to keep models accurate, fair, and aligned with regulatory expectations. Aydin breaks down what “good” AI training looks like inside a financial environment, including the importance of clean data, domain expertise, and human oversight.
He closes with a clear message: fraud is scaling, and so must the tools that stop it.
In this conversation, we speak with Aydin Bonabi, CEO and co-founder of Surveill, a firm focused on fraud detection and AI-driven compliance tools for financial institutions.
We start with Aydin’s view of the Summit and the challenges brokers face as fraud tactics grow more complex. He explains how firms can stay ahead through real-time signals, data patterns, and early-stage detection.
We also talk about AI training and why compliance teams often struggle to keep models accurate, fair, and aligned with regulatory expectations. Aydin breaks down what “good” AI training looks like inside a financial environment, including the importance of clean data, domain expertise, and human oversight.
He closes with a clear message: fraud is scaling, and so must the tools that stop it.
In this conversation, we speak with Aydin Bonabi, CEO and co-founder of Surveill, a firm focused on fraud detection and AI-driven compliance tools for financial institutions.
We start with Aydin’s view of the Summit and the challenges brokers face as fraud tactics grow more complex. He explains how firms can stay ahead through real-time signals, data patterns, and early-stage detection.
We also talk about AI training and why compliance teams often struggle to keep models accurate, fair, and aligned with regulatory expectations. Aydin breaks down what “good” AI training looks like inside a financial environment, including the importance of clean data, domain expertise, and human oversight.
He closes with a clear message: fraud is scaling, and so must the tools that stop it.
In this conversation, we speak with Aydin Bonabi, CEO and co-founder of Surveill, a firm focused on fraud detection and AI-driven compliance tools for financial institutions.
We start with Aydin’s view of the Summit and the challenges brokers face as fraud tactics grow more complex. He explains how firms can stay ahead through real-time signals, data patterns, and early-stage detection.
We also talk about AI training and why compliance teams often struggle to keep models accurate, fair, and aligned with regulatory expectations. Aydin breaks down what “good” AI training looks like inside a financial environment, including the importance of clean data, domain expertise, and human oversight.
He closes with a clear message: fraud is scaling, and so must the tools that stop it.
In this conversation, we speak with Aydin Bonabi, CEO and co-founder of Surveill, a firm focused on fraud detection and AI-driven compliance tools for financial institutions.
We start with Aydin’s view of the Summit and the challenges brokers face as fraud tactics grow more complex. He explains how firms can stay ahead through real-time signals, data patterns, and early-stage detection.
We also talk about AI training and why compliance teams often struggle to keep models accurate, fair, and aligned with regulatory expectations. Aydin breaks down what “good” AI training looks like inside a financial environment, including the importance of clean data, domain expertise, and human oversight.
He closes with a clear message: fraud is scaling, and so must the tools that stop it.
In this conversation, we speak with Aydin Bonabi, CEO and co-founder of Surveill, a firm focused on fraud detection and AI-driven compliance tools for financial institutions.
We start with Aydin’s view of the Summit and the challenges brokers face as fraud tactics grow more complex. He explains how firms can stay ahead through real-time signals, data patterns, and early-stage detection.
We also talk about AI training and why compliance teams often struggle to keep models accurate, fair, and aligned with regulatory expectations. Aydin breaks down what “good” AI training looks like inside a financial environment, including the importance of clean data, domain expertise, and human oversight.
He closes with a clear message: fraud is scaling, and so must the tools that stop it.
Exness expands its presence in Africa: Inside our interview with Paul Margarites in Cape Town
Exness expands its presence in Africa: Inside our interview with Paul Margarites in Cape Town
Exness expands its presence in Africa: Inside our interview with Paul Margarites in Cape Town
Exness expands its presence in Africa: Inside our interview with Paul Margarites in Cape Town
Exness expands its presence in Africa: Inside our interview with Paul Margarites in Cape Town
Exness expands its presence in Africa: Inside our interview with Paul Margarites in Cape Town
Finance Magnates met with Paul Margarites, Exness regional commercial director for Sub-Saharan Africa, during a visit to the firm’s office opening in Cape Town. In this talk, led by Andrea Badiola Mateos, Co-CEO at Finance Magnates, Paul shares views on the South African trading space, local user behavior, mobile trends, regulation, team growth, and how Exness plans to grow in more markets across the region. @Exness
Read the article at: https://www.financemagnates.com/thought-leadership/exness-expands-its-presence-in-africa-inside-our-interview-with-paul-margarites/
#exness #financemagnates #exnesstrading #CFDtrading #tradeonline #africanews #capetown
Finance Magnates met with Paul Margarites, Exness regional commercial director for Sub-Saharan Africa, during a visit to the firm’s office opening in Cape Town. In this talk, led by Andrea Badiola Mateos, Co-CEO at Finance Magnates, Paul shares views on the South African trading space, local user behavior, mobile trends, regulation, team growth, and how Exness plans to grow in more markets across the region. @Exness
Read the article at: https://www.financemagnates.com/thought-leadership/exness-expands-its-presence-in-africa-inside-our-interview-with-paul-margarites/
#exness #financemagnates #exnesstrading #CFDtrading #tradeonline #africanews #capetown
Finance Magnates met with Paul Margarites, Exness regional commercial director for Sub-Saharan Africa, during a visit to the firm’s office opening in Cape Town. In this talk, led by Andrea Badiola Mateos, Co-CEO at Finance Magnates, Paul shares views on the South African trading space, local user behavior, mobile trends, regulation, team growth, and how Exness plans to grow in more markets across the region. @Exness
Read the article at: https://www.financemagnates.com/thought-leadership/exness-expands-its-presence-in-africa-inside-our-interview-with-paul-margarites/
#exness #financemagnates #exnesstrading #CFDtrading #tradeonline #africanews #capetown
Finance Magnates met with Paul Margarites, Exness regional commercial director for Sub-Saharan Africa, during a visit to the firm’s office opening in Cape Town. In this talk, led by Andrea Badiola Mateos, Co-CEO at Finance Magnates, Paul shares views on the South African trading space, local user behavior, mobile trends, regulation, team growth, and how Exness plans to grow in more markets across the region. @Exness
Read the article at: https://www.financemagnates.com/thought-leadership/exness-expands-its-presence-in-africa-inside-our-interview-with-paul-margarites/
#exness #financemagnates #exnesstrading #CFDtrading #tradeonline #africanews #capetown
Finance Magnates met with Paul Margarites, Exness regional commercial director for Sub-Saharan Africa, during a visit to the firm’s office opening in Cape Town. In this talk, led by Andrea Badiola Mateos, Co-CEO at Finance Magnates, Paul shares views on the South African trading space, local user behavior, mobile trends, regulation, team growth, and how Exness plans to grow in more markets across the region. @Exness
Read the article at: https://www.financemagnates.com/thought-leadership/exness-expands-its-presence-in-africa-inside-our-interview-with-paul-margarites/
#exness #financemagnates #exnesstrading #CFDtrading #tradeonline #africanews #capetown
Finance Magnates met with Paul Margarites, Exness regional commercial director for Sub-Saharan Africa, during a visit to the firm’s office opening in Cape Town. In this talk, led by Andrea Badiola Mateos, Co-CEO at Finance Magnates, Paul shares views on the South African trading space, local user behavior, mobile trends, regulation, team growth, and how Exness plans to grow in more markets across the region. @Exness
Read the article at: https://www.financemagnates.com/thought-leadership/exness-expands-its-presence-in-africa-inside-our-interview-with-paul-margarites/
#exness #financemagnates #exnesstrading #CFDtrading #tradeonline #africanews #capetown
