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Analyst, Risk Analytics Group

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: MUFG
Full Time position
Listed on 2026-07-07
Job specializations:
  • Finance & Banking
    Financial Analyst, Risk Manager/Analyst
Salary/Wage Range or Industry Benchmark: 50000 - 70000 GBP Yearly GBP 50000.00 70000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

What you'll do:

  • Assist with the development and ongoing maintenance of sophisticated market risk models that support Value at Risk (VAR), Incremental Risk Charge (IRC), and related capital metrics.
  • Contribute to the design and execution of model validation tests by evaluating both model assumptions and their implementation to ensure accuracy and compliance.
  • Investigate issues identified during model testing or operation, proposing effective solutions and planning changes to address any weaknesses or gaps.
  • Specify requirements for system enhancements and rigorously test changes to ensure improvements are implemented effectively within existing frameworks.
  • Enhance operational controls around risk models by identifying areas for increased robustness and recommending new control measures as needed.
  • Support business units and the market risk department by conducting thorough investigations into specific issues or requests related to risk analytics.
  • Participate in ad-hoc projects that require close collaboration with colleagues in market risk analytics, model validation, IT development, and project management teams.
  • Proactively contribute to wider initiatives within the Risk function by sharing insights, participating in group discussions, and supporting collective goals.
  • Ensure all activities comply with relevant regulatory requirements while maintaining entity neutrality between MUFG Bank and MUFG Securities EMEA plc.
  • Communicate clearly with management regarding progress on model development, validation outcomes, operational improvements, and any emerging risks.
What you bring:
  • A postgraduate degree (MSc or above) in computer science, mathematics/statistics, finance or a closely related discipline demonstrating advanced quantitative capabilities.
  • Solid understanding of financial markets and products including derivatives; familiarity with pricing principles is essential for effective model development.
  • Experience working within a financial services firm where you have contributed to risk-related roles or similar analytical functions.
  • Excellent command of Excel coupled with hands‑on experience using VBA; proficiency in Python or R is highly desirable for data analysis tasks.
  • Outstanding communication skills enabling you to tailor information appropriately for different audiences including technical teams and senior management.
  • Meticulous attention to detail combined with an analytical mindset ensures accuracy when developing or validating complex models.
  • Ability to manage large workloads efficiently by prioritising urgent tasks alongside longer‑term projects without compromising quality or deadlines.
  • Demonstrated capacity for effective time management under pressure while balancing multiple responsibilities across concurrent assignments.
  • A collaborative approach that fosters positive relationships within diverse teams; willingness to share knowledge openly supports collective success.
  • Professional attitude marked by reliability, motivation, adaptability, and commitment to upholding organisational values.

MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership.

We make our recruitment decisions in a non‑discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.

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