A major shake-up in employment across financial services can be expected thanks to advanced technologies like machine learning, according to a high profile report presented at this week’s World Economic Forum in Davos, Switzerland.
For anyone watching the way one asset class after another is going electronic, the prediction that robots will be running trading systems of the future might seem axiomatic.
But does that mean there’ll be fewer jobs in the industry of the future as well?
Not according to a new report by Founder and Executive Chairman of the World Economic Forum (WEF), Klaus Schwab, and Member of the Managing Board of WEF, Richard Samans. It seems that business and financial operations and management will be mainly flat in terms of net jobs in the sector looking out to 2020.
That might come as a relief, since overall the economists calculate that current trends could lead to a net employment impact of more than 5.1 million jobs lost to disruptive labour market changes over the period 2015–2020, with a total loss of 7.1 million jobs— two thirds of which are concentrated in office and administration.
Still, the kinds of finance jobs available will look quite different, a reality that’s already a trend being noticed worldwide.
Traditionally, there has been a lot of routine work done within financial trading...
The financial services and investor sector, the authors wrote, will undergo a significant shift, with major job growth for computer and mathematical roles such as data analysts, information security analysts and database and network professionals.
This may be cold comfort at a time when layoffs in major investment banks are making headlines: Goldman Sachs, Credit Suisse and Morgan Stanley being just some of the latest. Other headlines are sure to make professionals just as nervous as major fines are announced for benchmark rigging scandals, with apparently no end in sight to more revelations of alleged wrongdoing.
In fact, regulators are a major driving force behind the push to electronic trading in the wake of FX fixing scandals, as support rallies for more transparency.
Fergal Toomey, Chief Scientist and Co-Founder, Corvil
In a recent article, efinancial careers wrote that being a spot FX trader is one of the worst jobs of 2015, pointing out that a high proportion of the FX spot and forward market is already trading electronically after almost three decades of exponential growth. Morgan Stanley estimates that up to 80% of the spot and forward FX market will be traded electronically in future, efinancial noted.
“Traditionally, there has been a lot of routine work done within financial trading, such as simple arbitrage or market making. A lot of these processes are well defined and amenable to automation,” Toomey said. “The skills that are very much in demand are around understanding how to design those automated systems, understanding how to control them, how to monitor them, how to make sure that they are proceeding in line with your company’s objectives.”
His observation echoes that of the "Future of Jobs" report's findings in terms of essential skills employers will be looking for. But he also points to the advent of machine learning, identified in the report as a disruptive technology, as a new area that “has caught the attention of the industry over the past few years”.
Machine learning has been around for a while, but has become particularly prominent since asset manager Bridgewater, which has some $154 billion AuM, announced it’s putting together an artificial intelligence team.
...what can a machine really do by itself? Where do you draw the line?
Looking beyond the routine tasks, machine learning has the potential to help analyze patterns over time and derive learnings from those patterns, which can then be used to run successful trading strategies for example, Toomey said.
“You can’t guarantee in a full-proof way that these systems will actually deliver a programmed return over the future. There is almost a certain element of risk involved, which brings into question how much judgement and responsibility is required to oversee these systems.”
David Widerhorn, CEO, Neurensic
As a decentralized market place, FX stands to benefit most from moving electronic, said David Widerhorn, CEO of Neurensic, a Chicago-based firm using artificial intelligence (AI) and machine learning for market surveillance, among other applications. Transparency and fairness makes cheating and market abuse more difficult, while AI makes it easier to watch for disruptive practices and maintain market integrity, he said.
Machine learning falls into three basic categories: supervised, unsupervised and reinforcement learning, the latter being the one most resembling the way humans actually think.
Some practitioners identify this particular area as the most exciting and most likely to be capable of performing higher order tasks, which could end up giving even portfolio managers a run for their money.
Widerhorn is quick to point out that machines don’t replace humans, however, saying that his own view is that humans and machines need to work together.
The Davos report puts it this way: “Technological disruptions such as robotics and machine learning—rather than completely replacing existing occupations and job categories—are likely to substitute specific tasks previously carried out as part of these jobs, freeing workers up to focus on new tasks and leading to rapidly changing core skill sets in these occupations.”
He points to robo-advisors as emblematic of the way decision making can be outsourced to technology. If a client has a smaller amount of money to invest, an automated decision making process is in order, but raise the stakes to multi-millions, and only a human will do.
“It’s a perfect example of that boundary – what can a machine really do by itself? Where do you draw the line?”
For anyone watching the way one asset class after another is going electronic, the prediction that robots will be running trading systems of the future might seem axiomatic.
But does that mean there’ll be fewer jobs in the industry of the future as well?
Not according to a new report by Founder and Executive Chairman of the World Economic Forum (WEF), Klaus Schwab, and Member of the Managing Board of WEF, Richard Samans. It seems that business and financial operations and management will be mainly flat in terms of net jobs in the sector looking out to 2020.
That might come as a relief, since overall the economists calculate that current trends could lead to a net employment impact of more than 5.1 million jobs lost to disruptive labour market changes over the period 2015–2020, with a total loss of 7.1 million jobs— two thirds of which are concentrated in office and administration.
Still, the kinds of finance jobs available will look quite different, a reality that’s already a trend being noticed worldwide.
Traditionally, there has been a lot of routine work done within financial trading...
The financial services and investor sector, the authors wrote, will undergo a significant shift, with major job growth for computer and mathematical roles such as data analysts, information security analysts and database and network professionals.
This may be cold comfort at a time when layoffs in major investment banks are making headlines: Goldman Sachs, Credit Suisse and Morgan Stanley being just some of the latest. Other headlines are sure to make professionals just as nervous as major fines are announced for benchmark rigging scandals, with apparently no end in sight to more revelations of alleged wrongdoing.
In fact, regulators are a major driving force behind the push to electronic trading in the wake of FX fixing scandals, as support rallies for more transparency.
Fergal Toomey, Chief Scientist and Co-Founder, Corvil
In a recent article, efinancial careers wrote that being a spot FX trader is one of the worst jobs of 2015, pointing out that a high proportion of the FX spot and forward market is already trading electronically after almost three decades of exponential growth. Morgan Stanley estimates that up to 80% of the spot and forward FX market will be traded electronically in future, efinancial noted.
“Traditionally, there has been a lot of routine work done within financial trading, such as simple arbitrage or market making. A lot of these processes are well defined and amenable to automation,” Toomey said. “The skills that are very much in demand are around understanding how to design those automated systems, understanding how to control them, how to monitor them, how to make sure that they are proceeding in line with your company’s objectives.”
His observation echoes that of the "Future of Jobs" report's findings in terms of essential skills employers will be looking for. But he also points to the advent of machine learning, identified in the report as a disruptive technology, as a new area that “has caught the attention of the industry over the past few years”.
Machine learning has been around for a while, but has become particularly prominent since asset manager Bridgewater, which has some $154 billion AuM, announced it’s putting together an artificial intelligence team.
...what can a machine really do by itself? Where do you draw the line?
Looking beyond the routine tasks, machine learning has the potential to help analyze patterns over time and derive learnings from those patterns, which can then be used to run successful trading strategies for example, Toomey said.
“You can’t guarantee in a full-proof way that these systems will actually deliver a programmed return over the future. There is almost a certain element of risk involved, which brings into question how much judgement and responsibility is required to oversee these systems.”
David Widerhorn, CEO, Neurensic
As a decentralized market place, FX stands to benefit most from moving electronic, said David Widerhorn, CEO of Neurensic, a Chicago-based firm using artificial intelligence (AI) and machine learning for market surveillance, among other applications. Transparency and fairness makes cheating and market abuse more difficult, while AI makes it easier to watch for disruptive practices and maintain market integrity, he said.
Machine learning falls into three basic categories: supervised, unsupervised and reinforcement learning, the latter being the one most resembling the way humans actually think.
Some practitioners identify this particular area as the most exciting and most likely to be capable of performing higher order tasks, which could end up giving even portfolio managers a run for their money.
Widerhorn is quick to point out that machines don’t replace humans, however, saying that his own view is that humans and machines need to work together.
The Davos report puts it this way: “Technological disruptions such as robotics and machine learning—rather than completely replacing existing occupations and job categories—are likely to substitute specific tasks previously carried out as part of these jobs, freeing workers up to focus on new tasks and leading to rapidly changing core skill sets in these occupations.”
He points to robo-advisors as emblematic of the way decision making can be outsourced to technology. If a client has a smaller amount of money to invest, an automated decision making process is in order, but raise the stakes to multi-millions, and only a human will do.
“It’s a perfect example of that boundary – what can a machine really do by itself? Where do you draw the line?”
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
Executive Interview | Jas Shah | FMLS:25
Executive Interview | Jas Shah | FMLS:25
Executive Interview | Jas Shah | FMLS:25
Executive Interview | Jas Shah | FMLS:25
Executive Interview | Jas Shah | FMLS:25
Executive Interview | Jas Shah | FMLS:25
Interview with Jas Shah
Builder | Adviser | Fintech Writer | Product Strategist
In this episode, Jonathan Fine sat down with Jas Shah, one of the most thoughtful voices in global fintech. Known for his work across advisory, product, stablecoins, and his widely read writing, Jas brings a rare combination of industry insight and plain-spoken clarity.
We talk about his first impression of the Summit, the projects that keep him busy today, and how they connect to the stablecoin panel he joined. Jas shares his view on the link between fintech, wealthtech and retail brokers, especially as firms like Revolut, eToro and Trading212 blur long-standing lines in the market.
We also explore what stablecoin adoption might look like for retail investment platforms, including a few product and UX angles that are not obvious at first glance.
To close, Jas explains how he thinks about writing, and how he approaches “shipping” pieces that spark debate across the industry.
Interview with Jas Shah
Builder | Adviser | Fintech Writer | Product Strategist
In this episode, Jonathan Fine sat down with Jas Shah, one of the most thoughtful voices in global fintech. Known for his work across advisory, product, stablecoins, and his widely read writing, Jas brings a rare combination of industry insight and plain-spoken clarity.
We talk about his first impression of the Summit, the projects that keep him busy today, and how they connect to the stablecoin panel he joined. Jas shares his view on the link between fintech, wealthtech and retail brokers, especially as firms like Revolut, eToro and Trading212 blur long-standing lines in the market.
We also explore what stablecoin adoption might look like for retail investment platforms, including a few product and UX angles that are not obvious at first glance.
To close, Jas explains how he thinks about writing, and how he approaches “shipping” pieces that spark debate across the industry.
Interview with Jas Shah
Builder | Adviser | Fintech Writer | Product Strategist
In this episode, Jonathan Fine sat down with Jas Shah, one of the most thoughtful voices in global fintech. Known for his work across advisory, product, stablecoins, and his widely read writing, Jas brings a rare combination of industry insight and plain-spoken clarity.
We talk about his first impression of the Summit, the projects that keep him busy today, and how they connect to the stablecoin panel he joined. Jas shares his view on the link between fintech, wealthtech and retail brokers, especially as firms like Revolut, eToro and Trading212 blur long-standing lines in the market.
We also explore what stablecoin adoption might look like for retail investment platforms, including a few product and UX angles that are not obvious at first glance.
To close, Jas explains how he thinks about writing, and how he approaches “shipping” pieces that spark debate across the industry.
Interview with Jas Shah
Builder | Adviser | Fintech Writer | Product Strategist
In this episode, Jonathan Fine sat down with Jas Shah, one of the most thoughtful voices in global fintech. Known for his work across advisory, product, stablecoins, and his widely read writing, Jas brings a rare combination of industry insight and plain-spoken clarity.
We talk about his first impression of the Summit, the projects that keep him busy today, and how they connect to the stablecoin panel he joined. Jas shares his view on the link between fintech, wealthtech and retail brokers, especially as firms like Revolut, eToro and Trading212 blur long-standing lines in the market.
We also explore what stablecoin adoption might look like for retail investment platforms, including a few product and UX angles that are not obvious at first glance.
To close, Jas explains how he thinks about writing, and how he approaches “shipping” pieces that spark debate across the industry.
Interview with Jas Shah
Builder | Adviser | Fintech Writer | Product Strategist
In this episode, Jonathan Fine sat down with Jas Shah, one of the most thoughtful voices in global fintech. Known for his work across advisory, product, stablecoins, and his widely read writing, Jas brings a rare combination of industry insight and plain-spoken clarity.
We talk about his first impression of the Summit, the projects that keep him busy today, and how they connect to the stablecoin panel he joined. Jas shares his view on the link between fintech, wealthtech and retail brokers, especially as firms like Revolut, eToro and Trading212 blur long-standing lines in the market.
We also explore what stablecoin adoption might look like for retail investment platforms, including a few product and UX angles that are not obvious at first glance.
To close, Jas explains how he thinks about writing, and how he approaches “shipping” pieces that spark debate across the industry.
Interview with Jas Shah
Builder | Adviser | Fintech Writer | Product Strategist
In this episode, Jonathan Fine sat down with Jas Shah, one of the most thoughtful voices in global fintech. Known for his work across advisory, product, stablecoins, and his widely read writing, Jas brings a rare combination of industry insight and plain-spoken clarity.
We talk about his first impression of the Summit, the projects that keep him busy today, and how they connect to the stablecoin panel he joined. Jas shares his view on the link between fintech, wealthtech and retail brokers, especially as firms like Revolut, eToro and Trading212 blur long-standing lines in the market.
We also explore what stablecoin adoption might look like for retail investment platforms, including a few product and UX angles that are not obvious at first glance.
To close, Jas explains how he thinks about writing, and how he approaches “shipping” pieces that spark debate across the industry.
