L

LSEG

Global financial market infrastructure and data

Quantitative Valuations Lead - Fixed Income and Derivatives

Quantitative ResearchPosted on Nov 13
Full-timeIn-person

About the Job

Requirements

  • Advanced academics in Quantitative Finance, Financial Engineering, Mathematics, or a related quantitative discipline.
  • At least 10 years of experience in quantitative research, financial engineering, artificial intelligence, machine learning, or valuation analytics within financial services.
  • Experience leading transformation initiatives.
  • Demonstrated experience leading and developing teams of quantitative analysts, data scientists, or financial engineers.
  • A deep understanding of fixed income markets and valuation methodologies.
  • Proven success designing and implementing machine learning and artificial intelligence solutions in production environments.
  • Strong expertise in statistical modeling, predictive analytics, optimization techniques, and quantitative methods.
  • Experience collaborating closely with software engineering teams to deploy scalable, production-grade analytical solutions.
  • Strong proficiency in Python and modern machine learning frameworks and tools.
  • Ability to explain complex quantitative concepts to technical and non-technical audiences.
  • Ability to operate effectively in a fast-paced environment while managing multiple priorities and strategic initiatives.
  • A track record of delivering enterprise-scale quantitative platforms and valuation solutions.

Responsibilities

  • Lead the development and enhancement of valuation algorithms for fixed income securities and derivatives.
  • Design and implement advanced machine learning and artificial intelligence models to improve pricing accuracy, scalability, coverage, and operational efficiency.
  • Develop quantitative methodologies that leverage market data, alternative data, and statistical techniques to generate high-quality evaluations.
  • Continuously monitor model performance and introduce enhancements to improve predictive power, explainability, and robustness.
  • Establish model governance standards, validation frameworks, and performance measurement practices.
  • Lead, coach, and develop a team of quantitative analysts and data scientists.
  • Foster a culture of innovation, collaboration, continuous learning, and technical excellence.
  • Provide technical direction and mentorship on quantitative modeling, machine learning techniques, software development best practices, and valuation methodologies.
  • Partner with team members to strengthen their skills and accelerate professional growth.
  • Build organizational capabilities in artificial intelligence, machine learning, and quantitative analytics.
  • Collaborate with Engineering, Product, Data, and Pricing Operations teams to translate quantitative research into scalable production solutions.
  • Drive end-to-end delivery of model development initiatives, ensuring timely execution against strategic business objectives.
  • Establish effective operating models between quantitative research and technology teams for efficient deployment and maintenance of valuation algorithms.
  • Act as a key stakeholder in prioritizing enhancements to valuation infrastructure, analytics platforms, and data pipelines.
  • Partner with valuation experts and market specialists to incorporate market intelligence into quantitative frameworks.
  • Support the expansion of evaluated pricing coverage across asset classes and markets.
  • Communicate complex quantitative concepts and model outputs to senior stakeholders, clients, and business partners.
  • Stay current with developments in financial markets, artificial intelligence, machine learning, and quantitative finance.

Desired Qualifications

  • Experience with securitized products, credit, structured products, or derivatives is strongly preferred.

About the Company

LSEG

Global financial market infrastructure and data

LSEG provides global financial market infrastructure and data across the full value chain. It delivers data, analytics, and risk-management tools, benchmarks via FTSE Russell, regulatory and financial crime risk services, and trading, clearing, and settlement through its Capital Markets and Post Trade divisions, typically accessed via subscriptions, licensing, and fees. The company differentiates itself by offering an integrated, end-to-end platform that covers pre-trade data and analytics to post-trade processing with a broad, global footprint. Its goal is to grow over the long term by leveraging its diversified portfolio and international reach to create value for shareholders and customers.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1801

Recently Posted Jobs

Explore more opportunities at LSEG

See more jobs