Meet the Innovator Superstars Driving Nurp Cutting Edge Trading Algorithms

Inside Nurp’s Product Development Team Powering Advanced Algorithmic Trading

At Nurp, our product development team is more than just a group of talented individuals – they are innovators at the forefront of algorithmic trading, relentlessly pushing boundaries and harnessing technology to create the most advanced trading algorithms in the market. Together, they form a powerhouse of expertise, bridging diverse fields like artificial intelligence, machine learning, data science, quantitative finance, and software engineering.

These four leaders – Abhay Anand, Kevin Kapros, Marcin Borratynski, and Pascal Bernard – are the driving force behind Nurp’s commitment to creating elite trading solutions for the forex and gold markets.

Let’s take a closer look at the incredible talent behind the scenes at Nurp.

Abhay Anand: Leading Product Development and Trading Algorithm Innovation

Abhay Anand serves as the Head of Product Development at Nurp, where he brings a wealth of experience from both the tech and financial sectors. His journey has been shaped by over eight years of consulting experience at IBM, including three years as a delivery lead for AI projects. Abhay’s deep knowledge of project management and AI technologies makes him uniquely positioned to lead Nurp’s algorithm and product development efforts.

Abhay’s passion for trading started in 2016 with crypto and expanded to forex in 2019. Over the years, he has cultivated a profound understanding of market psychology, macroeconomic trends, and technical analysis. He approaches product development with a contrarian mindset – challenging conventional wisdom and seeking opportunities where others may not. His strong grasp of both technology and the financial markets has allowed him to deliver exceptional results for Nurp’s clients.

Abhay’s leadership ensures that Nurp’s algorithms are not only cutting-edge but also adaptable to the evolving complexities of the global markets. His ability to integrate insights from AI, technology, and financial strategy positions Nurp as a leader in innovation.

Marcin Borratynski: Bringing Quantitative Finance and CERN Expertise to Nurp’s Algorithms

Marcin Borratynski is Nurp’s Quantitative Investment Strategist, and his impressive career reflects his deep expertise in quantitative finance and data science. Marcin holds a degree in computer science from AGH University of Science and Technology, an MBA from the University of Geneva, and a Certificate in Quantitative Finance (CQF). His background includes nearly a decade at CERN, where he worked on data processing for the Large Hadron Collider and later developed quantitative asset allocation systems for the CERN Pension Fund, managing over $4.5 billion.

Marcin’s work at CERN laid the groundwork for his career in quantitative finance. He designed algorithmic investment strategies that consistently outperformed benchmarks, a skill set that he has brought to Nurp.

Marcin’s role at Nurp involves developing sophisticated, data-driven trading strategies that leverage his experience in quantitative analysis to enhance Nurp’s algorithmic offerings. His rigorous scientific approach to financial markets ensures that Nurp’s trading strategies remain at the cutting edge of performance and reliability.

Pascal Bernard: Advancing AI and Machine Learning to Strengthen Nurp’s Trading Models

Pascal Bernard is Nurp’s AI Deep Learning Quantitative Analyst, bringing an impressive background in artificial intelligence and machine learning to the team. With a career spanning from software engineering to data management in the oil and gas industry, Pascal transitioned into data science in 2013 and later entered the fintech sector. His work has been focused on applying AI to quantitative research for finance, with particular success in enhancing trading performance.

One of Pascal’s standout achievements is his innovative application of transformers – an AI model originally used in natural language processing – to financial data analysis. By using transformers to capture long-range dependencies in sequential data, Pascal has helped develop more accurate market predictions and more effective trading strategies. This unique approach has been successfully implemented with hedge funds in both the US and UK, significantly improving predictive accuracy and trading outcomes.

At Nurp, Pascal is exploring the intersection of AI and trading across asset classes like forex, stocks, and crypto derivatives. His work ensures that Nurp remains ahead of the curve in leveraging cutting-edge AI technology to enhance its trading algorithms.

Kevin Kapros: Engineering Robust Algorithmic Trading Systems for Market Resilience

Kevin Kapros is an expert in algorithmic trading development with a strong foundation in both computer science and data science. His engineering background, honed at Virginia Tech, combined with his professional experience at Capital One, has equipped him with the technical expertise to create reliable and robust trading algorithms.

Kevin brings a unique perspective to algorithm development by marrying software engineering, data engineering, and machine learning. His trading algorithms are designed to be resilient, capable of adapting to a wide range of market conditions. These systems are thoroughly tested to avoid overfitting and optimized for long-term performance. Kevin’s algorithms have consistently delivered strong returns across diverse asset classes, including forex, stocks, bonds, indices, commodities, and cryptocurrencies.

At Nurp, Kevin is instrumental in refining existing algorithms and developing new ones that are resilient in the face of market volatility. His approach ensures that Nurp’s clients always have access to tools that are not only innovative but also proven to withstand the challenges of today’s fast-moving markets.

The Power of Innovation Inside Nurp’s Cutting Edge Algorithmic Development Team

Together, Abhay, Kevin, Marcin, and Pascal represent the pinnacle of innovation at Nurp. Their combined expertise spans technology, finance, AI, data science, and quantitative analysis, enabling Nurp to develop algorithms that are both sophisticated and highly effective. They are constantly pushing the limits of what’s possible, ensuring that Nurp’s clients have access to the most advanced tools available in the trading world.

What sets Nurp apart is our commitment to continuous improvement. Our product development team doesn’t just build algorithms and walk away. They are actively involved in research and development, refining existing strategies, exploring new technologies like AI and machine learning, and crafting new products to meet the demands of an ever-changing market.

At Nurp, we are more than just a company that sells trading bots – we are a technology-driven firm dedicated to creating innovative solutions that deliver consistent, long-term value to our clients. And with a product development team like ours, the future of trading has never looked brighter.

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Jeff Sekinger
Jeff Sekinger | Wealth Strategies

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Jeff Sekinger | Wealth Strategies

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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.

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Quant–Investment Strategist
Greg doscher

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

Quant–Investment Strategist
Marcin Borratynski

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).

Product Manager

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.