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.
Out of nearly 1,000 finance roles where AI is part of the daily work, only one in three had “AI” in the title—even though every one of them required skills like machine learning or using AI tools to get the job done. Roles with “AI” in the title also offered salaries 4% higher on average than those without it.
What the Numbers Tell Us
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.
“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 across the business,” said Konstantinos Kareklas, Group Chief Digital Officer, Ultimate Group.
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.
Out of nearly 1,000 finance roles where AI is part of the daily work, only one in three had “AI” in the title—even though every one of them required skills like machine learning or using AI tools to get the job done. Roles with “AI” in the title also offered salaries 4% higher on average than those without it.
What the Numbers Tell Us
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.
“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 across the business,” said Konstantinos Kareklas, Group Chief Digital Officer, Ultimate Group.
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.
Robinhood Shares Surge 11% as Fintech Seeks Independence From Kalshi in Prediction Markets
Marketing in 2026 Audiences, Costs, and Smarter AI
Marketing in 2026 Audiences, Costs, and Smarter AI
As brokers eye B2B business and compete with fintechs and crypto exchanges alike, marketers need to act wisely with often limited budgets. AI can offer scalable solutions, but only if used properly.
Join seasoned marketing executives and specialists as they discuss the main challenges they identify in financial services in 2026 and how they address them.
Attendees of this session will walk away with:
- A nuts-and-bolts account of acquisition costs across platforms and geos
- Analysis of today’s multi-layered audience segments and differences in behaviour
- First-hand account of how global brokers balance consistency and local flavour
- Notes from the field about intelligently using AI and automation in marketing
Speakers:
-Yam Yehoshua, Editor-In-Chief at Finance Magnates
-Federico Paderni, Managing Director for Growth Markets in Europe at X
-Jo Benton, Chief Marketing Officer, Consulting | Fractional CMO
-Itai Levitan, Head of Strategy at investingLive
-Roberto Napolitano, CMO at Innovate Finance
-Tony Cross, Director at Monk Communications
#fmls #fmls25 #fmevents #FintechMarketing #AI #DigitalStrategy #Fintech #Innovation
Connect with us at:
🔗 LinkedIn: / financemagnates-events
👍 Facebook: / financemagnatesevents
📸 Instagram: / fmevents_official
🐦 Twitter: / f_m_events
🎥 TikTok: / fmevents_official
As brokers eye B2B business and compete with fintechs and crypto exchanges alike, marketers need to act wisely with often limited budgets. AI can offer scalable solutions, but only if used properly.
Join seasoned marketing executives and specialists as they discuss the main challenges they identify in financial services in 2026 and how they address them.
Attendees of this session will walk away with:
- A nuts-and-bolts account of acquisition costs across platforms and geos
- Analysis of today’s multi-layered audience segments and differences in behaviour
- First-hand account of how global brokers balance consistency and local flavour
- Notes from the field about intelligently using AI and automation in marketing
Speakers:
-Yam Yehoshua, Editor-In-Chief at Finance Magnates
-Federico Paderni, Managing Director for Growth Markets in Europe at X
-Jo Benton, Chief Marketing Officer, Consulting | Fractional CMO
-Itai Levitan, Head of Strategy at investingLive
-Roberto Napolitano, CMO at Innovate Finance
-Tony Cross, Director at Monk Communications
#fmls #fmls25 #fmevents #FintechMarketing #AI #DigitalStrategy #Fintech #Innovation
Connect with us at:
🔗 LinkedIn: / financemagnates-events
👍 Facebook: / financemagnatesevents
📸 Instagram: / fmevents_official
🐦 Twitter: / f_m_events
🎥 TikTok: / fmevents_official
Much like their traders in the market, brokers must diversify to manage risk and stay resilient. But that can get costly, clunky, and lengthy.
This candid panel brings together builders across the trading infrastructure space to uncover the shifting dynamics behind tools, interfaces, and full-stack ambitions.
Attendees will hear:
-Why platform dependency has become one of the most overlooked risks in the trading business?
-Buy vs. build: What do hybrid models look like, and why are industry graveyards filled with failed ‘killer apps’?
-How AI is already changing execution, risk, and reporting—and what’s next?
-Which features, assets, and tools gain the most traction, and where brokers should look for tech-driven retention?
Speakers:
-Stephen Miles, Chief Revenue Officer at FYNXT
-John Morris, Co-Founder at FXBlue
-Matthew Smith, Group Chair & CEO at EC Markets
-Tom Higgins, Founder & CEO at Gold-i
-Gil Ben Hur, Founder at 5% Group
#fmls #fmls25 #fmevents #Brokers #Trading #Fintech #FintechInnovation #TradingTechnology #Innovation
Connect with us at:
🔗 LinkedIn: / financemagnates-events
👍 Facebook: / financemagnatesevents
📸 Instagram: / fmevents_official
🐦 Twitter: / f_m_events
🎥 TikTok: / fmevents_official
Much like their traders in the market, brokers must diversify to manage risk and stay resilient. But that can get costly, clunky, and lengthy.
This candid panel brings together builders across the trading infrastructure space to uncover the shifting dynamics behind tools, interfaces, and full-stack ambitions.
Attendees will hear:
-Why platform dependency has become one of the most overlooked risks in the trading business?
-Buy vs. build: What do hybrid models look like, and why are industry graveyards filled with failed ‘killer apps’?
-How AI is already changing execution, risk, and reporting—and what’s next?
-Which features, assets, and tools gain the most traction, and where brokers should look for tech-driven retention?
Speakers:
-Stephen Miles, Chief Revenue Officer at FYNXT
-John Morris, Co-Founder at FXBlue
-Matthew Smith, Group Chair & CEO at EC Markets
-Tom Higgins, Founder & CEO at Gold-i
-Gil Ben Hur, Founder at 5% Group
#fmls #fmls25 #fmevents #Brokers #Trading #Fintech #FintechInnovation #TradingTechnology #Innovation
Connect with us at:
🔗 LinkedIn: / financemagnates-events
👍 Facebook: / financemagnatesevents
📸 Instagram: / fmevents_official
🐦 Twitter: / f_m_events
🎥 TikTok: / fmevents_official
Educators, IBs, And Other Regional Growth Drivers
Educators, IBs, And Other Regional Growth Drivers
When acquisition costs rise and AI generated reviews are exactly as useful as they sound, performing and fair partners can make or break brokers.
This session looks at how these players are shaping access, trust and user engagement, and what the most effective partnership models look like in 2025.
Key Themes:
- Building trader communities through education and local expertise
- Aligning broker incentives with long-term regional strategies
- Regional regulation and the realities of compliant acquisition
- What’s next for performance-driven partnerships in online trading
Speakers:
-Adam Button, Chief Currency Analyst at investingLive
-Zander Van Der Merwe, Key Individual & Head of Sales at TD Markets
-Brunno Huertas, Regional Manager – Latin America at Tickmill
-Paul Chalmers, CEO at UK Trading Academy
#fmls #fmls25 #fmevents #Brokers #FinanceLeadership #Trading #Fintech #BrokerGrowth #FintechPartnerships #RegionalMarkets
Connect with us at:
🔗 LinkedIn: / financemagnates-events
👍 Facebook: / financemagnatesevents
📸 Instagram: / fmevents_official
🐦 Twitter: / f_m_events
🎥 TikTok: / fmevents_official
When acquisition costs rise and AI generated reviews are exactly as useful as they sound, performing and fair partners can make or break brokers.
This session looks at how these players are shaping access, trust and user engagement, and what the most effective partnership models look like in 2025.
Key Themes:
- Building trader communities through education and local expertise
- Aligning broker incentives with long-term regional strategies
- Regional regulation and the realities of compliant acquisition
- What’s next for performance-driven partnerships in online trading
Speakers:
-Adam Button, Chief Currency Analyst at investingLive
-Zander Van Der Merwe, Key Individual & Head of Sales at TD Markets
-Brunno Huertas, Regional Manager – Latin America at Tickmill
-Paul Chalmers, CEO at UK Trading Academy
#fmls #fmls25 #fmevents #Brokers #FinanceLeadership #Trading #Fintech #BrokerGrowth #FintechPartnerships #RegionalMarkets
Connect with us at:
🔗 LinkedIn: / financemagnates-events
👍 Facebook: / financemagnatesevents
📸 Instagram: / fmevents_official
🐦 Twitter: / f_m_events
🎥 TikTok: / fmevents_official
The Leap to Everything App: Are Brokers There Yet?
The Leap to Everything App: Are Brokers There Yet?
As the arms race to bundle investing, personal finance, and wallets under super apps grows fiercer, brokers are caught between a rock and a hard place.
This session explores unexpected ways for industry players to collaborate as consumer habits evolve, competitors eye the traffic, and regulation becomes more nuanced.
Speakers:
-Laura McCracken,CEO | Advisory Board Member at Blackheath Advisors | The Payments Association
-Slobodan Manojlović,Vice President | Lead Software Engineer at JP Morgan Chase & Co.
-Jordan Sinclair, President at Robinhood UK
-Simon Pelletier, Head of Product at Yuh
Gerald Perez, CEO at Interactive Brokers UK
#fmls #fmls25 #fmevents #Brokers #FinanceLeadership #Trading #Fintech #Innovation
Connect with us at:
🔗 LinkedIn: / financemagnates-events
👍 Facebook: / financemagnatesevents
📸 Instagram: / fmevents_official
🐦 Twitter: / f_m_events
🎥 TikTok: / fmevents_official
As the arms race to bundle investing, personal finance, and wallets under super apps grows fiercer, brokers are caught between a rock and a hard place.
This session explores unexpected ways for industry players to collaborate as consumer habits evolve, competitors eye the traffic, and regulation becomes more nuanced.
Speakers:
-Laura McCracken,CEO | Advisory Board Member at Blackheath Advisors | The Payments Association
-Slobodan Manojlović,Vice President | Lead Software Engineer at JP Morgan Chase & Co.
-Jordan Sinclair, President at Robinhood UK
-Simon Pelletier, Head of Product at Yuh
Gerald Perez, CEO at Interactive Brokers UK
#fmls #fmls25 #fmevents #Brokers #FinanceLeadership #Trading #Fintech #Innovation
Connect with us at:
🔗 LinkedIn: / financemagnates-events
👍 Facebook: / financemagnatesevents
📸 Instagram: / fmevents_official
🐦 Twitter: / f_m_events
🎥 TikTok: / fmevents_official
Mind The Gap: Can Retail Investors Save the UK Stock Market?
Mind The Gap: Can Retail Investors Save the UK Stock Market?
As the dire state of listing and investment in the UK goes from a financial services problem to a national challenge, the retail investing industry is taken to task.
Join a host of executives and experts for a candid conversation about the future of millions of Brits, as seen from a financial services standpoint:
-Are they happy with the Leeds Reform, in principle and in practice?
-Is it the government’s job to affect the ‘saver’ mentality? Is it doing well?
-What can brokers and fintechs do to spur UK investment?
-How can the FCA balance greater flexibility with consumer protection?
Speakers:
-Adam Button, Chief Currency Analyst at investingLive
-Nicola Higgs, Partner at Latham & Watkins
-Dan Lane, Investment Content Lead at Robinhood UK
-Jack Crone, PR & Public Affairs Lead at IG
-David Belle, Founder at Fink Money
#fmls #fmls25 #fmevents #Brokers #FinanceLeadership #Trading #Fintech #RetailInvesting #UKFinance
Connect with us at:
🔗 LinkedIn: / financemagnates-events
👍 Facebook: / financemagnatesevents
📸 Instagram: / fmevents_official
🐦 Twitter: / f_m_events
🎥 TikTok: / fmevents_official
As the dire state of listing and investment in the UK goes from a financial services problem to a national challenge, the retail investing industry is taken to task.
Join a host of executives and experts for a candid conversation about the future of millions of Brits, as seen from a financial services standpoint:
-Are they happy with the Leeds Reform, in principle and in practice?
-Is it the government’s job to affect the ‘saver’ mentality? Is it doing well?
-What can brokers and fintechs do to spur UK investment?
-How can the FCA balance greater flexibility with consumer protection?
Speakers:
-Adam Button, Chief Currency Analyst at investingLive
-Nicola Higgs, Partner at Latham & Watkins
-Dan Lane, Investment Content Lead at Robinhood UK
-Jack Crone, PR & Public Affairs Lead at IG
-David Belle, Founder at Fink Money
#fmls #fmls25 #fmevents #Brokers #FinanceLeadership #Trading #Fintech #RetailInvesting #UKFinance
Connect with us at:
🔗 LinkedIn: / financemagnates-events
👍 Facebook: / financemagnatesevents
📸 Instagram: / fmevents_official
🐦 Twitter: / f_m_events
🎥 TikTok: / fmevents_official
