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. This includes supporting incumbent models and designing, building and deploying new state-of-the‑art (SOTA) models

You will bring robust data science and modelling expertise, a delivery-focused mindset, and a structured, detail-oriented approach to solving complex tasks. You will also 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 team-oriented global team and focus on people development and career growth

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 (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 together with stakeholders to respond to internal audit queries and manage remediation actions and findings

Advanced degree (Master’s or PhD) in a quantitative discipline (e.g., Mathematics, Physics, Engineering, Computer Science)

Strong technical experience with SQL and Python; significant experience with Spark for large-scale data processing

7+ years’ experience developing analytical or machine learning models in financial services (ideally Anti-Financial Crime / Screening)

Excellent interpersonal skills with demonstrable collaborative leadership capabilities (coaching, mentoring, guiding, delivery ownership and stakeholder engagement) and strong standards for documentation and controls in a regulated environment

Experience designing evaluation frameworks for LLM use cases (e.g., human-in-the-loop, calibration, guardrails, auditability)

Experience building Natural Language Processing (NLP)/Machine Learning (ML)/Artificial Intelligence (AI) pipelines, including feature engineering, model training, evaluation and monitoring

Experience with hyperparameter tuning at scale and experimentation frameworks

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📌 Model Development Team Lead (Name List Screening & Transaction Screening, Model Strats) (British Columbia)
🏢 Deutsche Bank
📍 British Columbia