AI advancements present both opportunities and risks, also in financial services.
According to the newest Mastercard report, deepfakes significantly threaten the industry.
Although
artificial intelligence (AI) technology has made a striking entrance into the
finance and trading industry, it also brings a series of potential dangers,
including the increasingly common deepfakes that are difficult-to-identify.
Finance
Magnates discussed
the latest trends in AI and deepfakes with Michael Lashlee, the Chief Security
Officer (CSO) at Mastercard, who commented on the findings of the company's
latest report on this year's technology trends.
AI Trends and Their Impact
on Finance and Trading
In its 2024
issue of Mastercard Signals, Mastercard explores the emerging tech trends
poised to reshape commerce over the next three to five years. The report
highlighted how advances in artificial intelligence, computational power, and
data technology are converging to drive innovation across various sectors,
including finance and retail trading.
One of the
key AI trends discussed in the report is the rise of generative AI assistants,
or "personal copilots.”
These
advanced digital assistants, powered by natural language processing and machine
learning, could revolutionize how financial professionals work. For
traders, AI copilots could provide personalized market insights, risk
assessments, and even automate
certain trading strategies.
“Service
industry trainees could practice customer relations with AI-generated avatars.
In finance, both bank trainees and retail investors could use gen AI-created
environments to practice complex trading functions,” Mastercard commented in
its report.
The 4 stages of Artificial Intelligence:
0. Systemic AI responds to prompts based on probabilities established during training: i.e. current state-of-the-art AI.
1. Sentient AI is quintessentially curious and uses experience to refine beliefs about the world.
These AI assistants could help traders make more informed decisions and optimize their portfolios by leveraging vast amounts of financial data and real-time market information.
Another AI
trend with significant financial implications is using artificial intelligence to enhance
software development. AI-powered tools can assist developers in writing code,
designing software architecture, and testing applications.
This could
lead to the creation of more sophisticated financial software and trading
platforms, enabling traders to access advanced analytics and execute complex
strategies more easily.
In a
conversation in February with Finance Magnates, Dr. George Theocharides, the Head of the Cypriot regulator CySEC, argued
that: "AI remains uncharted" in most of the EU's securities markets.
The Threat of AI-Generated
Deepfakes for Traders
While AI
presents numerous opportunities for the finance industry, it poses certain
risks. One such risk is the rise of AI-generated deepfakes, Deepfakes are
highly realistic media content, such as videos or images, created using AI to
manipulate or deceive viewers.
“46% of
businesses have been targeted by identity fraud using deepfakes,” Mastercard
revealed. “37% of them were targeted by deepfake voice fraud and 29% by
deepfake videos. The deepfake detection market is expected to grow 42% annually
through 2026.”
For retail
traders, deepfakes could be particularly problematic. Malicious actors could
use deepfakes to spread false information about companies or markets, leading
to market manipulation and financial losses for unsuspecting investors.
According
to Michael Lashlee, the Chief Security Officer (CSO) at Mastercard, the
troubling trend presents a significant risk to businesses across all sectors. It will only become more pressing as the technology evolves.
Michael Lashlee, the Chief Security Officer (CSO) at Mastercard
“This
heightened risk, coupled with the lack of broad public awareness on the issue,
will make it easier for bad actors to exploit this technology,” Lashlee
commented for Finance Magnates. “Organizations need to educate their employees
about this risk and train them to question and confirm through trusted channels
any out of the ordinary transactions or funds transfers."
The
Mastercard’s CSO concluded that companies must implement processes and
procedures to protect themselves and their assets from being compromised.
The
Mastercard report additionally highlights the crucial role of computing power and data
technology in enabling these emerging tech trends. Advances in chip technology,
cloud computing, and quantum computing are providing the computational
resources necessary to train and run sophisticated AI models.
The report discusses the growing importance of data tokenization in the realm of data technology. Tokenization allows for the secure and efficient sharing of
sensitive data, such as financial information, across different platforms and
applications.
“The
horizon for tokenization is expanding, with emerging applications across
healthcare, finance and cybersecurity. By enabling different types of data
tokenization, this technology enhances security and opens new avenues for data
use,” Mastercard report added.
This could
enable more seamless and secure data exchange between financial institutions,
traders, and other market participants. Financial firms that can effectively
leverage their data assets while ensuring data privacy and security will be
well-positioned to capitalize on emerging tech trends.
Although
artificial intelligence (AI) technology has made a striking entrance into the
finance and trading industry, it also brings a series of potential dangers,
including the increasingly common deepfakes that are difficult-to-identify.
Finance
Magnates discussed
the latest trends in AI and deepfakes with Michael Lashlee, the Chief Security
Officer (CSO) at Mastercard, who commented on the findings of the company's
latest report on this year's technology trends.
AI Trends and Their Impact
on Finance and Trading
In its 2024
issue of Mastercard Signals, Mastercard explores the emerging tech trends
poised to reshape commerce over the next three to five years. The report
highlighted how advances in artificial intelligence, computational power, and
data technology are converging to drive innovation across various sectors,
including finance and retail trading.
One of the
key AI trends discussed in the report is the rise of generative AI assistants,
or "personal copilots.”
These
advanced digital assistants, powered by natural language processing and machine
learning, could revolutionize how financial professionals work. For
traders, AI copilots could provide personalized market insights, risk
assessments, and even automate
certain trading strategies.
“Service
industry trainees could practice customer relations with AI-generated avatars.
In finance, both bank trainees and retail investors could use gen AI-created
environments to practice complex trading functions,” Mastercard commented in
its report.
The 4 stages of Artificial Intelligence:
0. Systemic AI responds to prompts based on probabilities established during training: i.e. current state-of-the-art AI.
1. Sentient AI is quintessentially curious and uses experience to refine beliefs about the world.
These AI assistants could help traders make more informed decisions and optimize their portfolios by leveraging vast amounts of financial data and real-time market information.
Another AI
trend with significant financial implications is using artificial intelligence to enhance
software development. AI-powered tools can assist developers in writing code,
designing software architecture, and testing applications.
This could
lead to the creation of more sophisticated financial software and trading
platforms, enabling traders to access advanced analytics and execute complex
strategies more easily.
In a
conversation in February with Finance Magnates, Dr. George Theocharides, the Head of the Cypriot regulator CySEC, argued
that: "AI remains uncharted" in most of the EU's securities markets.
The Threat of AI-Generated
Deepfakes for Traders
While AI
presents numerous opportunities for the finance industry, it poses certain
risks. One such risk is the rise of AI-generated deepfakes, Deepfakes are
highly realistic media content, such as videos or images, created using AI to
manipulate or deceive viewers.
“46% of
businesses have been targeted by identity fraud using deepfakes,” Mastercard
revealed. “37% of them were targeted by deepfake voice fraud and 29% by
deepfake videos. The deepfake detection market is expected to grow 42% annually
through 2026.”
For retail
traders, deepfakes could be particularly problematic. Malicious actors could
use deepfakes to spread false information about companies or markets, leading
to market manipulation and financial losses for unsuspecting investors.
According
to Michael Lashlee, the Chief Security Officer (CSO) at Mastercard, the
troubling trend presents a significant risk to businesses across all sectors. It will only become more pressing as the technology evolves.
Michael Lashlee, the Chief Security Officer (CSO) at Mastercard
“This
heightened risk, coupled with the lack of broad public awareness on the issue,
will make it easier for bad actors to exploit this technology,” Lashlee
commented for Finance Magnates. “Organizations need to educate their employees
about this risk and train them to question and confirm through trusted channels
any out of the ordinary transactions or funds transfers."
The
Mastercard’s CSO concluded that companies must implement processes and
procedures to protect themselves and their assets from being compromised.
The
Mastercard report additionally highlights the crucial role of computing power and data
technology in enabling these emerging tech trends. Advances in chip technology,
cloud computing, and quantum computing are providing the computational
resources necessary to train and run sophisticated AI models.
The report discusses the growing importance of data tokenization in the realm of data technology. Tokenization allows for the secure and efficient sharing of
sensitive data, such as financial information, across different platforms and
applications.
“The
horizon for tokenization is expanding, with emerging applications across
healthcare, finance and cybersecurity. By enabling different types of data
tokenization, this technology enhances security and opens new avenues for data
use,” Mastercard report added.
This could
enable more seamless and secure data exchange between financial institutions,
traders, and other market participants. Financial firms that can effectively
leverage their data assets while ensuring data privacy and security will be
well-positioned to capitalize on emerging tech trends.
Damian's adventure with financial markets began at the Cracow University of Economics, where he obtained his MA in finance and accounting. Starting from the retail trader perspective, he collaborated with brokerage houses and financial portals in Poland as an independent editor and content manager. His adventure with Finance Magnates began in 2016, where he is working as a business intelligence analyst.
Prop Firms and Brokers Form a Perfect Synergy: One Offers Access, the Other Capital
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
