Senior Quantitative Analytics Specialist
On-siteBengaluru, Karnataka, India
Job Summary
Develop, implement, and enhance quantitative models for Interest Rate products using complex statistical theory to quantify, analyze, and manage markets. Forecast losses, compute capital requirements, and provide insights on business initiatives while managing market, credit, and operational risks. Collaborate with Trading, Risk Management, Technology, and Model Risk teams to deliver pricing models, risk methodologies, and quantitative tools. Consult with regulators, auditors, and technical stakeholders to influence global assessments and resolve issues across the model development lifecycle. Support the strategic Vasara project through complex software design, development, and testing activities within an agile environment.
Required Qualifications
- 4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Bachelor's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Desired Qualifications
- 4+ years of experience in quantitative modeling within Fixed Income or Rates products
- Strong understanding of: Interest Rate Derivatives Yield Curve Construction Stochastic Calculus Fixed Income Analytics Risk Sensitivities (DV01, Vega, Convexity, etc.)
- Strong programming skills in Python, C++, Java, or similar languages
- Experience with numerical methods, Monte Carlo simulations, and optimization techniques
- Knowledge of model development lifecycle and model governance practices
- Excellent analytical, problem-solving, and communication skills
- Experience supporting Front Office Rates Trading desks
- Familiarity with Libor transition and SOFR/RFR-based products
- Knowledge of Quantitative Libraries and Analytics Platforms
- Exposure to cloud technologies and high-performance computing environments
- Professional certifications such as FRM, CQF, or CFA are a plus
- Enterprise scale risk platforms with complex data environments, distributed processing, DAG architecture
- Work in an agile development environment
- Ability to navigate large, complex codebase and come up with working code
- Capital markets knowledge in Rates & FX, ideally credit, including cash and derivatives securities
- Ability to work with leading JavaScript frameworks/lib like React/Angular will be given preference
- Ideally should have sound knowledge of Linux
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