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Business Unit: Group Risk, Model Risk & Analytics
💰: up to circa £75,000 per annum DOE + benefits 🔥🎁
📍: UK Remote (with the expectation to come together as a team twice a year)
📑: Permanent
Our Team😎
Having solid Model Risk Management frameworks is super important for us to handle the risks that come with using Deterministic Quantitative Methods (DQMs) for our decisions, especially with all the complex regulations and growing expectations from regulators. Plus, with new tech like AI and testing financial realities, such as living costs challenges and lending affordability constraints, the methods’ space is constantly evolving and needs to be managed well.
That's where our team steps in! We provide independent validations and reviews, working with stakeholders across the bank to ensure our method developments are top-notch. We also make sure we stick to frameworks and policies by helping identify and fix any compliance gaps.
What you’ll be doing🤩
- Forging and maintaining relationships with key stakeholders within relevant areas to identify, tier and independently validate Deterministic Quantitative Methods (DQMs)
- Leading and supporting your direct report(s) covering an array of method types and performing independent validations ranging from high-level diagnostic reviews to deep dives
- Independently carrying out validations of key DQMs
- Driving innovation, automation and optimisation of team processes in relation to DQMs, while ensuring compliance with a range of regulations
- Presenting DQM validation findings at technical forums and relevant governance committees.
- Producing necessary Management Information (MI), summary reports and providing committees with regular progress on DQM validations, as required
- Providing thought leadership and leading projects relating to innovating, optimising and automating processes used in DQM validations
- Influencing frameworks, standards and policies to do with DQM governance, oversight and validation.
We need you to have🌟
- Significant experience in developing / validating quantitative risk methods, gained either in Risk (e.g. RWA engine), Finance (e.g. ECL engine) or elsewhere (e.g. affordability calculators)
- Substantial knowledge in risk-specific systems (e.g. PowerCurve, Siebel) gained from implementing methods in such systems, validating them or using them to monitor methods and report on outputs
- Advanced expertise of at least one programming language, e.g. SAS, R, Python, SQL and expert knowledge of Excel and Visual Basic
- Experience in independently validating / reviewing or building financial risk models / methods
- Superior written and oral communication skills, with the ability to articulate complex technical concepts to non-technical audiences
- Skilled in leading a high-performing team in a fast-paced environment, including effective resource management, positive behaviours and performance coaching to build capability.
It’s a bonus if you have but not essential🍒
- Knowledge of Model Risk Management frameworks and associated regulations (e.g. SS1/23, Consumer Duty)
- Familiarity with data science processes (e.g. pipelines) and associated technologies
- Exposure to range of risk modelling techniques (e.g. logistic and time series regressions and Machine Learning methods, such as gradience boosting, random forests, etc.)
Red Hot Rewards 🎁
- Generous holidays - 38.5 days annual leave (including bank holidays and prorated if part-time) plus the option to buy more.
- Up to five extra paid well-being days per year.
- 20 weeks paid, gender-neutral family leave (52 weeks in total) for expectant parents and those looking to adopt.
- Market-leading pension.
- Free private medical cover, income protection and life assurance.
- Flexible benefits include Cycle to Work, wellness and health assessments, and critical illness.
And there's no waiting around, you'll enjoy these benefits from day one.
If we’re lucky to receive a lot of interest, we may close the advert early. Please ensure to submit your applications as soon as possible.
🕕Applications Close: 3 Jul 2025 (4.00pm BST)