Ingenuity Trading hires Dr. Paulo Zanjacomo as head of quantitative research

Ingenuity Trading said June 17 that veteran quant researcher Dr. Paulo Zanjacomo has joined the New York fintech as head of quantitative research. The hire is meant to strengthen the firm’s AI platform, trading analytics and multi-asset execution tools as it targets institutional traders. Why it matters: - Ingenuity Trading is adding senior quantitative expertise as it builds out AI-driven trading analytics and execution tools for institutional clients. - The hire may help the firm deepen signal generation, modeling and low-latency research across equities, options, futures, FX and other assets. What happened: - Ingenuity Trading announced June 17, 2026, that Dr. Paulo Zanjacomo joined as head of quantitative research. - Dr. Zanjacomo will lead the firm’s quant research function and work with co-founders Pallav Chhaochhria and Karthik Teki. - His remit includes developing signals, algorithms and models that support Ingenuity Trading’s trading analytics and execution capabilities. The details: - Dr. Zanjacomo brings 27 years of quantitative research experience, including more than 20 years in financial markets. - He previously led quantitative research at Automated Trading Desk, Sun Trading, IMC Financial Markets and Chicago Trading Company. - His work has covered simulation, statistical, optimization and machine-learning systems for forecast generation and trading in latency-sensitive environments. - That experience spans equities, futures, FX, options, interest rates and indices. - Earlier in his career, Dr. Zanjacomo built mathematical models for energy forecasting, distribution and risk management. - He earned a PhD from the Georgia Institute of Technology. - Dr. Zanjacomo said Ingenuity Trading has built a unified, multi-asset execution platform with an intelligence layer to match. Between the lines: - The hire signals Ingenuity Trading wants to compete on research depth as much as on execution infrastructure. - Bringing in a veteran with cross-asset and latency-sensitive experience suggests the firm is trying to sharpen both its AI models and its trading performance. - Karthik Teki said Zanjacomo’s background in high-frequency trading, latency-sensitive quant systems and multi-asset modeling will accelerate work on the AI platform and trading analytics side. - Pallav Chhaochhria said quantitative research is central to what makes the AI platform differentiated. What’s next: - Ingenuity Trading said Zanjacomo will drive the development of new signals, algorithms and models inside the quant research group. - The company appears focused on expanding its AI platform and real-time analytics for buy-side firms. - Ingenuity Trading also points to future growth in multi-asset execution as it promotes consistency, precision and speed across workflows. The bottom line: - Ingenuity Trading is betting that elite quantitative research talent will help turn its AI and execution platform into a sharper institutional trading product.