Head of Financial Engineering and Rapid Development

Head of Financial Engineering and Rapid Development

Location: London, GB, E14 5HQ

Brand: HSBC

Area of Interest: Asset and Wealth Management

HSBC Asset Management's Investment Technology team is evolving our Investment Decision Support Tools (DST) to be faster, smarter and more scalable-so our investment teams can make better decisions, with stronger controls, in real time.

We're looking for a Head of Financial Engineering & Rapid Development to take a hands on approach in building advanced analytics and models, shaping the DST target architecture, and leading a specialist Rapid Development & Financial Engineering sub team delivering high impact capabilities across portfolio optimisation, risk, predictive signals and AI driven asset management.

In this role you'll:

• Design, build and deliver quantitative models and analytics (optimisation, risk, predictive signals) in C# and Python, with a strong focus on production quality.
• Drive implementation of the DST target architecture, making key decisions on integration, performance, scalability and real time capability.
• Lead the application of AI/ML and predictive analytics for investment use cases, embedding appropriate controls for safe adoption.
• Manage and develop a specialist Rapid Development & Financial Engineering sub team, setting priorities, ways of working and engineering standards.
• Partner with adjacent teams (platform delivery/support, analytics oversight, governance reporting) to take solutions from prototype to production at pace.
• Continuously improve engineering outcomes (performance, testing, stability, technical debt) and ensure delivery aligns to agreed standards and controls.

To be successful in this role you should meet the following requirements:

• Strong track record in quantitative modelling for investments (e.g., portfolio optimisation, risk analytics, alpha/signal research).
• Advanced C# engineering capability (system design, performance optimisation, testing discipline, production support patterns).
• Strong Python engineering for data/ML workflows, with experience operationalising models into robust services or pipelines.
• Practical experience applying AI to investment problems, with working knowledge of MLOps concepts (monitoring, retraining, deployment patterns).
• Experience delivering or shaping scalable, real time analytics platforms/architectures, ideally within decision support tooling.
• Proven people leadership of quant developers/engineering teams would be beneficial but not essential.

Opening up a world of opportunity.

Being open to different points of view is important for our business and the communities we serve. At HSBC, we're dedicated to creating diverse and inclusive workplaces - no matter their gender, ethnicity, disability, religion, sexual orientation, socio economic background or age. We are committed to removing barriers and ensuring careers at HSBC are inclusive and accessible for everyone to be at their best. We take pride in being a Disability Confident Leader and will offer an interview to people with disabilities, long term conditions or neurodivergent candidates who meet the minimum criteria for the role.

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