Daniel Nehren
Global Head - Quantitative Research & Development
Abu Dhabi Emirate, United Arab Emirates
Summary
👤
Senior🎓
Top SchoolDaniel Nehren is a seasoned quantitative research and trading technology leader with over two decades of experience, currently serving as Global Head of Quantitative Research & Development at ADIA. He has led e-trading, execution and risk automation teams at top institutions including Citi, Barclays, Citadel and J.P. Morgan, blending deep quantitative modeling with production engineering to optimize portfolios, inventory and smart routing. Daniel’s background spans algorithmic trading systems, predictive analytics and machine learning applied to execution and central risk platforms, with a track record of building scalable execution and optimization frameworks. He combines an academic grounding from Politecnico di Milano with practical leadership across buy- and sell-side environments, often bridging research and trading operations. Based in Abu Dhabi, he is known for translating complex risk and execution problems into automated, auditable solutions that drive trading performance. An unexpected facet of his career is hands-on operational breadth—from engineering and development management early on to managing a hospitality venture—illustrating pragmatic problem-solving beyond quant finance.
8 years of coding experience
18 years of employment as a software developer
High School/Secondary Diplomas and Certificates, High School/Secondary Diplomas and Certificates at Scuola EuropeaMSEE, Electronic Engineering, MSEE, Electronic Engineering at Politecnico di Milano
English, Italian, German, French
Github Skills (13)
algorithmic-trading9
python-client8
coinbase8
wrapper8
websocket-client7
trading7
gdax-api7
exchange6
bitcoin6
ethereum6
nodejs-library5
orderbook5
python4
Programming languages (3)
Github contributions (5)
NehrenD/algo_trading_book
Oct 2017 - Mar 2020
Contributions:1 PR, 125 pushes, 1 branch in 2 years 5 months
book-tradingalgo-tradingtradingalgo
NehrenD/algo_trading_and_quant_strategies
Jan 2020 - Feb 2021
Supplemental Material for Algorithmic Trading and Quantitative Strategies
Contributions:33 commits, 1 PR, 27 pushes in 1 year
algorithmic-tradingquantitative-strategies
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