Senior Quantitative Analyst

We are seeking a creative and technically adaptable candidate to design, develop, and automate next-generation credit and customer toolkits. This role focuses on building scalable data and modelling pipelines that enable real-time deployment and high-impact decision-making.

Leveraging strong quantitative computing and machine learning skills, the incumbent will drive innovation and enhance predictive performance across key portfolios.

Crucially, this role champions the use of Agentic AI with a "human-in-the-loop" approach to accelerate productivity and redefine the model lifecycle.

• Advanced Data Engineering & Pipeline Architecture
  • Develop & Optimise
    :
    Build robust analytics data pipelines using Python, Spark, Airflow, and distributed computing frameworks (containerised).
  • Automate & Scale
    :
    Design reusable analytical components with capabilities for automated feature engineering and feature store population to ensure solution consistency and scalability.
• MLOps & Model Lifecycle Management
  • Operational Excellence
    :
    Implement best‑practice MLOps methodologies, including CI/CD, containerisation, and cloud‑ready model operations.
  • End-to-End Tracking
    :
    Orchestrate modelling pipelines using tools like MLFlow for comprehensive tracking, versioning, and deployment.
  • Real-Time Architecture
    :
    Design and deploy real‑time model architectures with embedded automated monitoring capabilities to ensure reliability.
• Driving Business Value & Strategy
  • Signal from Noise
    :
    Distil high‑value data elements from Big Data to build and ope rationalise decision‑grade insights, analytics and tools.
  • Solution Delivery
    :
    Translate business requirements into clear hypotheses and use cases with defined success criteria and value metrics.
  • Performance Monitoring
    :
    Track the value of deployed solutions, reporting on ROI while proactively identifying anomalies or areas for improvement.
• Hypothesis-Driven Experimentation
  :
  Research, prototype, and introduce new technologies, such as enhanced optimisation techniques, to drive profitability and efficiency.
• Tech Radar
  :
  Actively monitor emerging technologies, open‑source projects, and academic research to keep the stack cutting‑edge.
• Stakeholder Engagement & Culture
  • Cross-Functional Partnership
    :
    Build strong relationships with business, operations, product, and risk partners to influence decision‑making and manage expectations throughout the development cycle.
  • Communication
    :
    Articulate complex technical findings clearly to both technical and non‑technical audiences.
  • Mentorship & Growth
    :
    Foster a culture of excellence by coaching junior analysts, conducting code reviews, and sharing knowledge on industry trends.

The ideal candidate will have practical, hands‑on exposure to:

• Software Engineering / Coding Fundamentals: Solid grounding in computer science/coding principles, including Object‑Oriented Programming (OOP), design patterns, data structures, and algorithmic complexity (Big‑O).
• Distributed Computing & Big Data: Working with large‑scale data processing systems and distributed environments.
• Modern Dev Ops Integration: Active usage of CI/CD pipelines, version control (Git), and containerisation technologies (Docker/Kubernetes) within a microservices or API‑driven architecture.
• Deep Learning & Optimisation: Proficiency with ML frameworks (e.g., Tensor Flow, PyTorch, Scikit‑learn) and application of continuous/discrete mathematical optimisation techniques.
• Model Governance: Product ionising models with rigorous tracking, specific versioning, and governance using tools such as MLFlow.
• Innovative & Curious: A relentless learner who stays ahead of the curve, passionate about applying emerging technologies and modern analytical approaches to solve old problems.
• Analytical Problem Solver: Possesses the intellect to deconstruct complex, ambiguous modelling challenges into scalable, logical solutions.
• Collaborative Powerhouse: A cross‑functional partner who drives impact through strong stakeholder management, capable of delivering results individually or by influencing others.
• Resilient & Adaptable: Thrives in rapidly evolving environments; comfortable with ambiguity and quick to pivot…