Tradeweb’s Izzy Conlin: Trading’s Next Frontier

This article originally appeared in Traders Magazine here.

As Head of Strategy & Solutions for Global Markets, what are your main priorities this year?

My focus is on helping Tradeweb stay ahead of where markets are going, not just where they are today. Practically, this means investing in technology, AI, data and analytics that will shape the next generation of market infrastructure, while continuing to solve real problems for our clients. We're spending a lot of time thinking about how AI, data and analytics can help market participants make better decisions, discover liquidity more effectively and operate with greater efficiency. At the same time, we're exploring new opportunities that sit at the intersection of traditional finance, emerging technologies and evolving market structure.

What market structure trends are you watching most closely?

We're living through a period of extraordinary change. The continued electronification of markets remains one of the most important long-term trends, but what's particularly interesting is how rapidly technology is changing the way participants interact with markets. As someone who came into the industry during a period of rapid digital transformation, I've seen firsthand how a new generation of market participants expects technology to be embedded into every aspect of the trading experience. We're seeing increased adoption of algorithmic execution and data-driven workflows across asset classes. Beyond that, we're focused on areas like prediction markets, tokenization and 24/7 trading models. Each has the potential to fundamentally reshape how information is priced, how risk is transferred and how markets function.

How are client expectations evolving across electronic trading markets?

Clients increasingly expect intelligent technology to be embedded throughout their workflow. Execution is no longer enough on its own; market participants expect integrated workflows, actionable analytics, better liquidity discovery and tools that help them make more informed trading decisions. In many ways, these expectations reflect a younger generation of professionals who have grown up with seamless digital experiences and expect the same level of intelligence, personalization and efficiency in financial markets. Ultimately, clients expect technology to simplify complexity while enabling them to focus more of their time on higher-value decisions. What's particularly interesting is that access to information is becoming increasingly democratized. Tools, data and insights that were once available only to the large institutions are becoming more broadly accessible, raising the bar for how market participants compete and make decisions.

Where do you see the biggest opportunities for AI in trading and market infrastructure?

AI has the potential to improve nearly every stage of the trading lifecycle. One of the most compelling opportunities is helping market participants process enormous amounts of data and identify insights that would otherwise be difficult to uncover, enabling them to make better decisions faster. More broadly, AI is contributing to the democratization of intelligence across markets. The information advantage that historically belonged to a relatively small group of participants is beginning to erode as AI-powered analytics, alternative data sources, real-time sentiment indicators and prediction market signals become more widely available. We're embedding AI across the trade lifecycle, from analytics and execution to post-trade workflows, while keeping human judgment at the center. The most powerful outcomes often come from combining technology and machine intelligence with human decision making and expertise. As these tools become more accessible, the differentiator wont simply be access to information, but how effectively market participants interpret, integrate and act on it.

Why is Wall Street paying attention to prediction markets?

Prediction markets are fascinating because they represent a new mechanism for aggregating information. As investors look for new ways to assess risk and understand market expectations, prediction markets are emerging as a valuable complement to traditional data sets. They offer a market-based view of probabilities that can provide additional context around major economic, political and corporate events, and as these markets continue to evolve, they may become an increasingly important complement to traditional economic indicators, research and forecasting models.

What makes prediction markets an attractive area for Tradeweb?

What excites me about prediction markets is their ability to generate entirely new forms of data and real-time signals about how market participants collectively assess future outcomes. The market has never had access to this type of data before, which is a key driver of the immense interest they have rightfully received. For a generation of market participants that increasingly relies on diverse data sets and real-time signals, prediction markets offer a unique lens into collective expectations and sentiment. Our partnership with Kalshi reflects our belief that these markets have the potential to become an increasingly valuable source of insight alongside traditional financial indicators.

What challenges are institutions focused on as they navigate today's market environment?

Institutions are balancing several forces at once. Markets are becoming more complex, liquidity is increasingly fragmented and the pace of technological change continues to accelerate. As a result, firms are looking for ways to improve efficiency, access liquidity more effectively and leverage data and AI to enhance decision-making and execution without compromising risk management or resilience. At the same time, they're preparing for longer-term structural shifts, including tokenization, digital assets and the convergence of traditional and digital finance. The challenge is finding ways to innovate while maintaining controls and stability that institutions require.

What has been the biggest lesson from your career in trading and market structure?

One of the biggest lessons is that meaningful change takes time and doesn't happen overnight. While I'm part of a generation that has seen technology transform industries at an incredible place, financial markets still require trust, adoption and thoughtful interpretation. When I started my career, many bond trades were still conducted almost entirely over the phone. Today, electronic trading is central to how markets operate. Innovation succeeds when you focus on solving real client problems and bring people along on the journey. Technology alone isn't enough; adoption ultimately sticks when market participants see clear value and are willing to change how they work.

How have opportunities for women in finance changed since you entered the industry?

The industry has made meaningful progress since I started my career. There are more women in leadership positions, greater visibility for successful female role models and stronger networks dedicated to supporting and advancing women in finance. When people can build relationships with others who have navigated similar paths, it helps broaden what's possible. While there's still more work to do, it's encouraging to see a broader range of voices helping shape the future of financial markets and technology.

What advice would you give to young women looking to build careers in financial services?

Don't be intimidated by what you don't know. Be curious, ask questions and stay open to learning. One advantage professionals coming into the workforce today have is that they're entering an industry at a time when technology, data and finance are converging in new and exciting ways. Some of the most exciting opportunities in finance today sit at the intersection of markets, technology and data, so developing a broad skill set can be incredibly valuable. Find mentors, build relationships and don't be afraid to challenge conventional thinking. The next generation will play a pivotal role in shaping how markets evolve, and many of the biggest opportunities belong to people who are willing to help shape that change rather than simply adapt to it.