KEY RESPONSIBILITIES
- Lead AI, ML, quant, and analytics projects for financial services clients.
- Work with clients across corporate banking, markets, risk, treasury, credit, ALM, and investment-related use cases.
- Translate business problems into quantitative models, data requirements, and technical delivery plans.
- Design and review models for credit risk, market risk, portfolio analytics, pricing, forecasting, stress testing, liquidity risk, or treasury analytics.
- Supervise AI/ ML engineers, quant analysts, and junior team members.
- Review model methodology, assumptions, outputs, validation results, and documentation.
- Support client presentations, proposals, technical workshops, and senior stakeholder discussions.
- Help shape reusable ALP / Fermi Labs solutions across AI, quant finance, and financial analytics.
REQUIRED EXPERIENCE
- 10–15 years of experience in financial services, consulting, banking, asset management, fintech, or risk analytics.
- Strong background in at least two of the following areas: quantitative finance, risk modelling, treasury/ALM, markets, corporate banking analytics, portfolio analytics, or structured finance.
- Good understanding of AI/ML and how it can be applied in financial services.
- Strong mathematical and statistical foundation.
- Experience working with senior stakeholders in banks, financial institutions, or large corporates.
- Ability to lead teams and manage delivery end-to- end.
Candidate Attributes:
TECHNICAL SKILLS
- Python for analytics, modelling, or prototyping
- Strong knowledge of statistics, econometrics, probability, optimisation, or financial mathematics
- Familiarity with ML models such as regression, classification, time series, clustering, NLP, or forecasting
- Understanding of financial risk models, stress testing, valuation, capital, liquidity, or portfolio models
- Experience with model documentation, validation, governance, or regulatory expectations is useful
PREFERRED BACKGROUND
- Prior experience in a bank, consulting firm, asset manager, hedge fund, fintech, or risk technology firm.
- Exposure to Basel, IFRS 9, stress testing, ALM, treasury, markets, credit risk, or model risk.
- MSc, PhD, CFA, FRM, CQF, or equivalent qualification in finance, maths, engineering, economics, physics, computer science, or related discipline.
IDEAL CANDIDATE
Someone who can sit with a CRO, CFO, Treasurer, Head of Markets, or Head of Risk, understand the problem, shape the analytical approach, and then guide the team to build something credible and useful.