Overview
As VP on the Credit Quantitative Trading and Research team, you will advance quantitative models and tools for corporate bonds, bond portfolios, and CDS indices within a low-touch market-making context. You will bridge research and production, collaborating with cross-functional partners to improve trading strategies, risk insights, and decision-making. The role emphasizes integrating AI/ML alongside traditional methods to deliver robust, scalable analytics aligned with business goals. This position offers the opportunity to shape quantitative capabilities and drive tangible impact across the trading desk.
Responsibilities
- Collaborate with market makers, risk managers, and stakeholders to support trading activities and strategy development.
- Analyze market trends and large datasets to produce actionable insights using relevant methodologies.
- Design and deploy end-to-end tools and systems ensuring models comply with industry best practices.
- Foster understanding of how different business parts connect to team success and business objectives.
- Drive projects from a quantitative research perspective, steering them toward long-term value.
- Invest in existing AI/ML models and continuously enhance capabilities to keep pace with modern frameworks.
Key requirements
- Post-graduate degree in STEM (e.g., Mathematics, Physics, Engineering, Computer Science).
- Extensive experience in quantitative research or related roles in e-trading.
- Strong knowledge of corporate credit and systematic market making.
- Excellent analytical skills, detail-oriented, systematic problem-solving, open to new ideas.
- Ability to work collaboratively in a fast-paced environment with independent thinking and strong organizational skills.
- Strong communication skills to convey complex concepts to non-technical stakeholders.
- collaboration
- effective communication
- independent thinking
- deep learning
- time series modeling
- Python
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