Senior Fixed Income Risk Quant Developer at DataAxxis
New York, NY 10022, USA -
Full Time


Start Date

Immediate

Expiry Date

29 Oct, 25

Salary

875.0

Posted On

30 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Bond Pricing, Python, Model Building, Mathematics, Financial Engineering, Statistics, Risk Frameworks, Software Development, Data Science, Aws, Risk Models

Industry

Financial Services

Description

REQUIRED SKILLS

  • Extensive hands-on experience in bond pricing
  • Proven expertise in developing risk engines
  • Advanced proficiency in Python
  • Strong knowledge of fixed income cash products

POSITION OVERVIEW

We are looking for a Senior Quantitative Analytics Lead with deep expertise in Fixed Income and advanced Python development. This individual will spearhead the buildout of a next-generation risk engine to support comprehensive market risk management—primarily across Fixed Income cash instruments.
This is a high-impact role offering the opportunity to contribute meaningfully to a critical transformation effort in a fast-paced, elite team setting.

QUALIFICATIONS

  • 10–15+ years of experience in quantitative modeling, data science, and financial software development
  • Proven track record leading Fixed Income-centric quantitative initiatives
  • Expertise in designing and managing complex risk models, including evaluating model trade-offs
  • Strong knowledge of risk frameworks and financial regulations
  • Advanced Python programming skills for model building, statistical analysis, and production-level coding
  • Full-stack development capability
  • Excellent analytical, problem-solving, and organizational skills
  • Strong communication abilities and collaborative mindset for working across business and technology teams
  • Advanced degree in Financial Engineering, Mathematics, Statistics, or a related technical field
  • Experience with AWS is considered a plus
Responsibilities
  • Lead the design and development of a high-performance quantitative library tailored for Fixed Income cash products, including:
  • Investment-grade and high-yield corporate bonds
  • Fixed income ETFs
  • Sovereign and emerging market (EM) bonds
  • Loans, distressed debt, CoCos, preferred stocks, and trade claims
  • Bond futures and bond future options
  • Enable core features of the next-gen market risk platform, such as:
  • Pricing
  • Curve stripping
  • Full-revaluation Value at Risk (VaR)
  • Sensitivities and stress testing
  • Architect and implement:
  • Issuer-specific and sector curve cohorting methodologies
  • A robust risk factor mapping waterfall for issuer/proxy curve selection
  • Ensure the risk engine meets business goals and complies with all applicable regulatory requirements
  • Oversee the full model development lifecycle—from initial design and coding (primarily in Python), through testing, deployment, validation, and performance monitoring
  • Provide analytical support during model releases and lead comprehensive testing and quality assurance efforts
  • Maintain and expand Python-based quantitative libraries used in production, with a focus on accuracy, performance, and scalability
  • Mentor junior team members and promote a culture of high standards, innovation, and ongoing learning
  • Keep up with evolving market trends, technologies, and regulatory guidelines to maintain best-in-class modeling standards
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