Senior Quantitative Risk Analyst

About Us:

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs.

It's how we've contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.

LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific.

We're proud to be recognised as a Great Place to Work in 2024. Learn more about life and purpose of our company directly from the Romanian colleagues' video:
Bucharest, Romania | Where We Work | LSEG

The Senior Quantitative Validator will have as responsibilities the validation of the various model groups belonging to pricing and rates models, margins and others of this kind. The incumbent will perform their work either from the position of validation lead or will be providing support or help with the coordination in the case of other validation projects, as needed.

• Perform model validation for underlying key methodologies and models. Assess mathematical and technical considerations in models and quantitative methods, the conceptual soundness and appropriateness of different risk models and their usages.
• Perform related risk model sensitivity tests, back testing and benchmark analysis where it is appropriate. Run analyses on implementations or replicate models to assess their correctness and stability.
• Identifies risks, issues in the assessed models, and optimally details the testing and conclusions.
• performs independent model validation by interacting and discussing with the first line risk model developers and second line risk teams.
• Liaise with relevant data architecture and technology controllers, in order to achieve the validation purpose.
• goes through the validation process and creates the Model Validation deliverables (i.e., reports, notes, findings).
• Assist senior risk and business management in all aspects of pricing model risks.
• Coordinate and conduct model content for validation forums such as Exit Meetings, Working Groups, Model Risk Committee.
• Support the development of internal benchmarks for relevant models, to quantify the model's risk.
• Support develop of adequate ongoing monitoring for relevant models.

• Postgraduate degree (MSc/PhD) in Applied Mathematics, Computer Science, Finance, Statistics, Physics, Engineering or similar;
• Good knowledge of financial models, statistical analysis, VaR/ES risk models and numerical algorithm;
• Good knowledge of Python, R or Matlab, machine learning algorithms, data scraping and wrangling skills;
• Good understanding of quantitative tools and techniques, with the ability to perform quantitative analysis required;
• Good understating of the LLM family of models and Wealth Management models;
• Understanding/Interest in at least one of the below areas
  • Index methodologies,
  • Sustainability finance fundamentals such as ESG scores,
  • Derivative pricing and quantitative methods,
• Strong soft skills including the ability to engage with senior staff, work in a collaborative manner with more junior colleagues when required;
• Collaborative, with intellectual curiosity to independently research topics;
• Strong analytical and problem-solving skills, good attention to detail, proven writing skills;
• Familiarity with Microsoft Office (Word, Excel, and PowerPoint);
• Keen interest in model risk, and to learn from others;

We are looking for intellectually curious people, passionate about the bigger picture of…