Fixed Income Trader - VP
Our client, a leading global investment management Bank is seeking a Vice President-level Fixed Income Trader to join its front‑office investment team. The successful candidate will trade across credit, rates, and derivatives markets and support portfolio construction. The role blends traditional discretionary trading with systematic thinking: the firm is looking for someone who is not only an experienced trader but also interested in developing and contributing to systematic and data‑driven strategies. Strong Python skills and quantitative aptitude are essential.
Key Responsibilities
- Execute trades across global credit, rates, and derivatives markets, maintaining best execution and alignment with portfolio objectives.
- Generate market insights, RV analysis, and trade ideas across sovereign bonds, interest rate products, corporate credit, and structured instruments.
- Develop and enhance Python-basedanalytics, including:
- Pricing and valuation models
- Systematic signal generation tools
- Relative value and liquidity screens
- Risk analytics and performance dashboards
- Collaborate with portfolio managers and quantitative teams to integrate systematic and data‑driven approaches into trading workflows.
- Contribute to the research, testing, and implementation of systematic or rules‑based strategies within fixed income portfolios.
- Monitor macroeconomic developments, order flow, and market structure to support both discretionary and systematic trading ideas.
- Build strong, compliant relationships with market counterparts and execution platforms.
Required Qualifications & Experience
- 5-8+ years of experience trading fixed income products, including credit, rates, and derivatives.
- Strong experience in:
- Government bonds
- Corporate credit (IG/HY)
- Interest rate swaps
- Futures and options
- Linear and non-linear rate/credit derivatives
- Solid coding ability in Python, with a track record of building front‑office tools and analytics.
- Demonstrated interest in systematic, quantitative, or data‑driven trading approaches-whether through prior experience or self‑directed work.
- Strong understanding of portfolio construction, risk frameworks, and trade lifecycle processes.
- Excellent communication skills and ability to thrive in a fast-paced, collaborative environment.
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