Assistant Manager, Model Validation Quant at Lloyds Banking Group | England, GBR | Rezi

Assistant Manager, Model Validation Quant at Lloyds Banking Group

Assistant Manager, Model Validation Quant

Lloyds Banking Group · England, GBR

Today

Assistant Manager, Model Validation Quant

Lloyds Banking Group · England, GBR

4 hours ago
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About the Role

An opportunity has arisen for a motivated applicant to join the Model Risk Office at Lloyds Banking Group. This role is part of the Markets & AI Modelling team, focusing on pricing models, counterparty risk models, and AI technology, providing independent review and challenge of derivatives pricing models.

Responsibilities

  • Deliver in-depth theoretical assessments of pricing models across various asset classes.
  • Independently benchmark Front Office pricing models using C++ and Python.
  • Perform qualitative analyses and stress tests to measure model performance.
  • Compile comprehensive validation reports that clearly detail your findings and recommendations.
  • Develop, enhance, and maintain internal tools that support and streamline the model validation process.

Requirements

  • A Master’s degree or higher in a quantitative discipline (e.g., Mathematics, Physics, Quantitative Finance) or equivalent experience in a quantitative role.
  • A solid theoretical understanding of, and familiarity with, derivative pricing models, stochastic calculus, partial differential equations and Monte Carlo methods.
  • Excellent problem-solving and time management skills.
  • Strong written and verbal communication skills, with the ability to articulate complex mathematical concepts clearly and concisely.
  • The ability to work independently, meet deadlines, and perform well under time pressure.

Skills

  • C++
  • Python
  • Derivative pricing models
  • Stochastic calculus
  • Partial differential equations
  • Monte Carlo methods
  • Model Validation
  • Front Office Quant role
  • Financial derivatives
  • Risk modelling

Location

  • London

Work Type

  • Hybrid Working
  • Job Share
  • Full-time

Experience Level

  • Prior experience in a Model Validation or Front Office Quant role.
  • Programming experience in C++ and/or Python including library architecture design.
  • Strong understanding of financial derivatives and risk modelling.
  • Ability to critically evaluate model performance and identify limitations.
  • Familiarity with regulatory expectations related to model risk.

Education Level

  • Master’s degree or higher in a quantitative discipline (e.g., Mathematics, Physics, Quantitative Finance) or equivalent experience

Salary/Compensations

  • £65,304 - £72,560

Benefits

  • A generous pension contribution of up to 15%
  • An annual performance-related bonus
  • Share schemes including free shares
  • Benefits you can adapt to your lifestyle, such as discounted shopping
  • 28 days’ holiday, with bank holidays on top
  • A range of wellbeing initiatives and generous parental leave policies

About the Company

  • We’re transforming at pace. Investing billions in our people, data and tech to change the way we meet the needs of our 28 million customers.
  • At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities.
  • We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.

Equal Opportunity

  • We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns.
  • As a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme.