Position Overview
Job Title: Model Development Team Lead for Name List Screening (NLS) & Transaction Screening (TS) - Model Strats
Location: London
Corporate Title: Vice President
Group Strategic Analytics (GSA) is part of Group Chief Operation Office (GCOO) which acts as the bridge between the Bank’s businesses and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank.
You will work within the wider GSA Control Strats team and lead model development across NS and TS, supporting incumbent models and designing, building, and deploying new state‑of‑the‑art (SOTA) models. You will bring strong data science and modelling expertise, a delivery‑focused mindset, and a structured, detail‑oriented approach to solving complex tasks. Additionally, you will drive model tuning, contribute to regulatory and governance deliverables, and collaborate with cross‑functional teams including Anti‑Financial Crime, Operations and Technology.
You will work in a collaborative global team and focus on people development and career growth.
Benefits
- Hybrid working – eligible employees can work remotely part of the time.
- Competitive salary and non‑contributory pension.
- 30 days’ holiday plus bank holidays, with the option to purchase additional days.
- Life assurance and private healthcare for you and your family.
- A range of flexible benefits including retail discounts, a Bike4Work scheme, and gym benefits.
- The opportunity to support a wide‑ranging CSR programme and 2 days’ volunteering leave per year.
Key Responsibilities
- Lead the model development team, setting priorities, standards, and ways of working.
- Understand and own end‑to‑end delivery of new SOTA challenger models.
- Tuning and optimising strategies for incumbent models.
- Design and govern the use of Large Language Models (LLM) as‑judge approaches within alert handling processes, including evaluation framework, quality controls, bias/robustness testing, and auditability.
- Document model logic, assumptions, limitations, and test outcomes in line with Model Governance and validation standards.
- Partner with stakeholders to respond to internal audit queries and manage remediation actions and findings.
Skills and Experience
- Advanced degree (Master’s or PhD) in a quantitative discipline (e.g., Mathematics, Physics, Engineering, Computer Science).
- 7+ years’ experience developing analytical or machine learning models in financial services, preferably Anti‑Financial Crime / Screening.
- Experience building NLP/ML/AI pipelines, including feature engineering, model training, evaluation, and monitoring.
- Experience designing evaluation frameworks for LLM use cases (e.g., human‑in‑the‑loop, calibration, guardrails, auditability).
- Experience with hyperparameter tuning at scale and experimentation frameworks.
- Strong technical experience with SQL and Python; significant experience with Spark for large‑scale data processing.
- Excellent interpersonal skills with demonstrable collaborative leadership capabilities, coaching, mentoring, guiding, delivery ownership, and stakeholder engagement, and robust documentation standards in a regulated environment.
Additional Support
- Flexible working to help you balance personal priorities.
- A range of flexible benefits that you can tailor to suit your needs.
- Reasonable adjustments for employees with disabilities, including provision of assistive equipment where required.
Equal Opportunity Statement
We welcome applications from all people and promote a positive, fair and inclusive work environment.
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