Quantitative Analyst (Client Solutions)
IntropicFinancial Data company
London, United KingdomJunior
Connect Ventures
Octopus Ventures
Transpose Platform Management
Acequia Capital
Entrepreneurs First
Samos Investments
Data & AI
About the role
TL;DR
Support clients in translating data into actionable investment strategies using Python and Pandas.
- •As a Quantitative Analyst (Client Solutions), you will support Intropic's systematic clients by answering questions on data quality and methodology, and producing analysis to demonstrate how data translates into live strategies.
- •Key Responsibilities Help clients translate data into actual strategies, focusing on portfolio construction, backtesting, and signal generation.
- •Serve as a primary technical point of contact for quantitative clients, addressing data quality and methodology queries.
- •Write and publish research articles and data notes showcasing the value of Intropic's data.
- •Build reproducible examples and analysis in Python to support research.
- •Investigate and resolve data-related issues with research and engineering teams.
- •Requirements Strong working proficiency in Python and Pandas, comfortable with Jupyter notebooks.
- •Bachelor's or Master's degree in a STEM subject from a top university.
- •Genuine interest in finance and capital markets, with the ability to learn quickly.
- •Excellent written communication skills for explaining technical results to a sophisticated audience.
- •Meticulous attention to detail and sound judgment under pressure.
Required skills
PythonPandasSQL
Domain expertise
fintech
Tech stack
PythonPandasSQL