Front Office Quantitative Analyst

Quanteam UK; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Quanteam UK are seeking a Quantitative Analyst to join a Markets Engineering function responsible for the design, development and ongoing support of core quantitative libraries used for pricing, valuation and risk metrics across multiple asset classes.

You will work with front office desks and dedicated strats to design and maintain production-grade analytics, ensuring code quality, testing and governance while exploring AI-enabled enhancements across pricing and modelling.

Qualifications

• Significant experience in a front office or front-office-aligned quantitative role with pricing, valuation or risk models.
• Experience delivering pricing and modelling solutions with traders and strat teams.
• Experience developing, maintaining and supporting production-grade quantitative libraries.
• Advanced degree in Mathematics, Physics, Engineering, Statistics or Quantitative Finance.
• CQF or FRM desirable and ongoing professional development in quantitative finance or software engineering.

Responsibilities

• Provide quantitative support to users of the internal pricing library and ensure correct model usage.
• Partner with front office desks and strat teams to design and support pricing solutions.
• Design, implement and maintain new quantitative models and analytics within the pricing framework.
• Own and coordinate model changes, including release planning and production deployment.
• Maintain pricing library with testing, documentation and automated processes.

Skills

C#

C++

Python

Education

Master's or PhD in a numerate discipline

Tools

Production-grade libraries

Job description

Quanteam UK are seeking a Quantitative Analyst to join a Markets Engineering function responsible for the design, development and ongoing support of core quantitative libraries. This includes financial models, product representations, valuation and sensitivities (Greeks), XVA and other risk metrics across multiple asset classes, including interest rates, FX, inflation and equities. Your key responsibilities will include:

• Providing quantitative support to users of the internal pricing library, ensuring correct usage and interpretation of models.
• Partnering with front office business teams and dedicated strat teams to design, enhance and support pricing solutions.
• Designing, implementing and maintaining new quantitative models, and enhancing existing models to meet evolving business and risk requirements.
• Developing and implementing new products, payoffs and analytics within the pricing framework.
• Owning and coordinating model and library changes, including release planning and deployment to production in accordance with internal approval and change management procedures.
• Maintaining the pricing library to a consistently high standard, with a continuous focus on code quality, simplification, performance, documentation and automated testing.
• Collaborating with quantitative teams across the business that use the internal pricing library, promoting consistency, reuse and best practice.
• Ensuring adherence to regulatory standards, model risk management frameworks and internal risk and control procedures.
• Driving innovation, particularly in identifying and delivering opportunities enabled by AI and advanced analytics within the pricing and modelling ecosystem.

Technical Competence

• Significant professional experience in a front office or front-office-aligned quantitative role within an investment bank, with hands-on responsibility for pricing, valuation or risk models.
• A track record of working directly with trading desks and/or strat teams to deliver pricing and modelling solutions.
• Experience developing, maintaining and supporting production-grade quantitative libraries or analytics platforms, including managing changes through formal development, testing, approval and release processes.
• Exposure to one or more asset classes relevant to the role, such as rates, FX, credit, equities, XVA or structured products (desirable).
• Prior involvement in innovation initiatives, including the application of AI or machine learning techniques in quantitative finance (desirable).
• Strong theoretical and practical knowledge of pricing and valuation methodologies for derivative and structured products.
• A solid understanding of numerical methods, stochastic modelling and curve construction, with the ability to assess model limitations, assumptions and appropriateness for intended use.
• Strong programming skills in at least one core quantitative language, ideally C#, C++ and/or Python, with experience designing and maintaining scalable, well-structured, reusable quantitative libraries.
• A focus on code quality, performance, documentation and testing (unit, integration, regression), together with experience of version control, controlled releases and production support.
• A good understanding of regulatory expectations related to model risk, including documentation, validation, controls and auditability, and the ability to translate these requirements into practical implementation within pricing infrastructure.
• Experience interacting with model risk, validation, audit or control functions.
• An advanced degree (Master’s or PhD) in a numerate discipline such as Mathematics, Physics, Engineering, Statistics or Quantitative Finance.
• Professional qualifications related to financial risk or modelling, such as CQF or FRM, are desirable, as is ongoing professional development in quantitative finance, software engineering or applied AI.

Behavioural Competence

• Ability to communicate complex quantitative concepts clearly to traders, risk managers and non-quantitative stakeholders.
• Ability to balance business urgency with model risk discipline and engineering best practice, with the confidence to challenge requirements constructively and propose robust alternatives.
• Curiosity and openness to new approaches, with the ability to evaluate and deliver AI-enabled or advanced analytics solutions where appropriate, alongside an awareness of the associated risks and governance considerations.
• A strong sense of ownership and accountability, with a clear focus on quality, robustness and risk awareness.
• An analytical, structured and detail-oriented approach, with the ability to operate effectively under pressure.
• Self-motivated and proactive, with a continuous improvement mindset.
• A collaborative approach, able to operate effectively across functions and geographies.
• Comfortable navigating ambiguity and evolving requirements in a front office environment.
• High ethical standards and commitment to regulatory compliance and internal controls.

We are committed to a diverse and inclusive workplace where all individuals are respected and valued. We welcome applicants from every background and uphold equality across all characteristics. Diversity drives innovation and strengthens our ability to deliver exceptional results. Our aim is an environment where everyone can thrive and contribute to collective success.