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Job summary
A leading trading firm is seeking a Quant Researcher to develop convexity-aware models and systematic signals across various dimensions. The ideal candidate will have over 3 years of experience in systematic equities and a strong background in Python programming. This mid-senior level position involves prototyping and backtesting strategies within a collaborative research environment. Full-time employment is offered within the finance job function.
Qualifications
3+ years of experience as a Quant Researcher in systematic equities, credit or volatility-linked strategies.
Strong quantitative and programming background, especially in Python and statistics.
Deep interest in convexity, factor construction, and cross-asset model design.
Responsibilities
Research and develop convexity-aware models across credit and equity vol strategies.
Build systematic signals across volatility, dispersion, and relative-value dimensions.
Prototype and backtest new strategies using large-scale datasets (Python).
Work closely with the PM to translate research into production.
Skills
Quantitative analysis
Programming in Python
Statistical analysis
Time-series modelling
Job description
A leading trading firm is seeking a Quant Researcher to develop convexity-aware models and systematic signals across various dimensions. The ideal candidate will have over 3 years of experience in systematic equities and a strong background in Python programming. This mid-senior level position involves prototyping and backtesting strategies within a collaborative research environment. Full-time employment is offered within the finance job function.