The successful candidate will define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment.

Key responsibilities include:

• Designing, building, and operating production-grade models for anomaly detection, variance analysis, drift detection, forecasting, behavioural signals, and prediction
• Leading the full model lifecycle from problem framing, data exploration, feature engineering, back-testing, validation, deployment, monitoring, tuning, and incident response
• Partnering closely with engineering, data platform, product, and business teams to translate complex analytical problems into scalable, production-ready ML systems
• Acting as a hands-on technical authority and multiplier, reviewing models, guiding senior practitioners, and influencing decisions through deep expertise

Requirements:

• 25+ years of experience in analytics, data science, and machine learning, with a strong track record of delivering and operating production-grade models within financial services or other highly regulated, high-availability environments
• Deep expertise in applied data science and ML, including statistical modelling, predictive analytics, model development, validation, deployment, monitoring, and optimisation
• Strong hands-on technical skills, with the ability to work directly with data, code, ML frameworks, and complex datasets
• Experience building scalable, reliable, and explainable AI/ML solutions that meet operational, governance, and regulatory requirements

Preferred qualifications:

• Pragmatic and outcome-oriented mindset, focused on delivering models that perform reliably in production and create tangible business value
• Excellent communication and stakeholder management skills, with the ability to clearly explain modelling decisions, assumptions, risks, and limitations
• Influential leadership and collaboration, capable of driving alignment and technical excellence across cross-functional teams
• Coaching and mentoring capability, guiding and developing data scientists through technical reviews and knowledge sharing

In terms of compensation, the anticipated base salary range for this position is $177,036 to $350,000.

We offer a range of benefits, including health and wellness programs, flexible downtime, continuous learning opportunities, and family-friendly perks.

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