At Nurp, we serve high-net-worth investors through disciplined, algorithmic strategies grounded in transparency, risk control, and historically consistent performance.
We believe long-term financial outcomes are driven by access to the right tools, data, and discipline. Our mission is to deliver institutional-caliber algorithmic strategies to individual investors—making advanced models transparent, verified, and impactful for those who value performance over hype.
In just a few minutes, this video breaks down how Nurp helps everyday investors access elite algorithmic trading strategies — with built-in risk controls, transparent data, and hands-free execution. Whether you’re a beginner or a seasoned trader, see how Nurp brings institutional power to your portfolio.
Watch the video to understand what makes Nurp different — and why our clients trust us with their algorithmic edge.
Real data, not promises. All performance is third-party verified.
Clients retain capital custody with regulated brokers. No pooled funds.
Strategy is rooted in algorithmic structure, not emotional decisions.
At Nurp, our values guide how we operate, serve, and innovate—ensuring every strategy reflects discipline, integrity, and trust.
Jeff Sekinger founded Nurp to bring institutional-grade trading strategies to individual investors. With a background in asset management and a deep focus on quantitative tools, Jeff built Nurp to prioritize capital preservation, verified performance, and investor autonomy.
Nurp is not simply a technology company—it’s a philosophy of trading. One that respects risk, values insight, and serves those who approach the market with intention.
Speak with a Nurp advisor to determine if our approach aligns with your strategy.
AI Quantitative
Researcher
Bingham Zhou
Bingham Zhou, CFA, has over 15 years of experience as a quantitative researcher. His expertise spans systematic equity strategies, CTA trend-following, and interest rate proprietary trading in both U.S. and Asian markets. He holds advanced degrees from MIT, Carnegie Mellon, and Yale.
Greg Doscher was a CFO for many years who built out many quantitative strategies and investment tools to manage and enhance risk adjusted returns in the company’s pension plan. Prior to joining Nurp, he consolidated his skills in coding and discretionary trading to develop a comprehensive and fully automated algorithmic trading system deployed across 200+ futures markets and cryptocurrencies that encompassed all of the trading strategies he had honed over the last 22 years in finance
Marcin was Head of Quant IT at the USD 4bn+ CERN Pension Fund, where he spent nearly a decade building quantitative asset allocation systems and implementing algorithmic investment strategies for a multi-asset institutional portfolio.Before joining Nurp Marcin was also Senior Quant Strategist at Evooq, a Swiss-based fund managing four strategies across equities, gold, and equity derivatives.Marcin holds a degree in Computer Science an MBA from the University of Geneva and the Certificate in Quantitative Finance (CQF).
Abhayjit Anand
Abhay has worked with Nurp since 2022. As a Product Strategist, he focuses on building, refining, and commercializing algorithmic trading strategies. He brings seven years of experience in financial trading – combining macro research, technical analysis, quantitative strategy development, and market psychology. Alongside his work at Nurp, Abhay also serves as an Investment Analyst at Orca Capital. Before entering financial markets professionally, he spent eight years at IBM, including three years in the AI & data division as a Delivery Lead managing complex implementation projects.
