Research, design, and implement quantitative trading strategies for fixed income cash and derivatives products.
Conduct rigorous data analysis (historical/time-series, cross-sectional) to identify market inefficiencies, pricing anomalies and predictive signals.
Collaborate with Portfolio Managers (PMs) to translate research insights into executable trading strategies, ensuring alignment with portfolio objectives.
Partner with engineering/IT team to enhance data pipelines, trading infrastructure and execution algorithms. Continuously refine existing strategies based on market regime shifts, new data sources, or model feedback and trading systems.
Qualification:
Master’s degree in Mathematics, Physics, or related STEM field.
3 - 5+ years of experience working in investment/trading strategy research environment. Preferably in fixed income.
Demonstrated experience working with large datasets, programming skills, and proficiency in Python.
Excellent communication skills, teamwork mentality, and ability to perform under pressure.
Debt/Fixed Income, Trading, Asset Management, Quant & Structuring, Other
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