Quantitative Analyst (Client Solutions)
Core
Support systematic clients in translating event-driven datasets into live trading strategies through hands-on analysis, backtesting, and research.
Role type
Junior Quantitative Analyst (Client Solutions)
Builds
Portfolio construction, backtesting approaches, signal generation, and tradeable strategies for hedge funds and asset managers.
Domain
Financial data and capital markets
Deliverable
production ML models | product features
Required skills
Python, Pandas, Jupyter notebooks, data science, quantitative analysis, written research, client engagement
Preferred skills
Quantitative finance experience, index methodologies (MSCI, S&P, FTSE), backtesting frameworks, SQL, client-facing research roles
Technologies
Python, Pandas, Jupyter, GitHub, SQL
Responsibilities
Translate client data into strategies via portfolio construction and backtesting; serve as primary technical contact for data quality and methodology; write research articles and data notes; build reproducible Python examples; resolve data issues with research/engineering teams; relay client feedback to product teams
Seniority
Junior, entry-level