Director - Quantitative Analytics

Career Opportunity: Lead Quantitative Developer (DevOps & MLOps Focus)

This role presents a compelling opportunity for experienced quantitative professionals seeking to drive innovation and technical excellence within a leading financial institution. At its core, this position is about shaping the future of model development and deployment through a strong emphasis on DevOps and automation. If you are passionate about building robust, scalable analytical frameworks and have a knack for leading teams, this role offers significant career growth and impact.

Key Advantages for Aspiring Candidates:

• Strategic Technical Leadership: You will be at the forefront of defining and driving the technical architecture, with a direct influence on how cutting-edge financial models are developed and deployed. This is an opportunity to not just implement, but to architect.
• Cross-Functional Collaboration & Global Impact: Working alongside data scientists, quantitative developers, and technology teams across the globe provides an invaluable experience. You’ll contribute to a unified data science infrastructure and a cohesive Modelling Data Strategy, expanding your professional network and understanding of diverse business needs.
• Innovation in Financial Modeling: This role is instrumental in delivering innovative financial models essential for risk reporting and capital adequacy. You'll be contributing directly to critical business decisions and shaping how the institution manages risk and capital.
• Hands-On Development & Team Leadership: The opportunity to build and maintain analytical frameworks, coupled with the responsibility of supervising a team of quantitative developers, offers a balanced blend of technical contribution and people management. You'll leverage distributed computing solutions in Python to solve complex challenges.
• Career Progression in MLOps & DevOps: With a strong preference for MLOps expertise and experience with DevOps tools, this role is ideal for candidates looking to deepen their skills in these high-demand areas. You will be actively involved in the productionization of ML workflows and model deployment frameworks.
• Influence and Strategic Input: Beyond technical execution, you will have the opportunity to contribute to function-wide strategic initiatives, influence policies and procedures, and provide expert advice to senior leadership, impacting long-term business direction.

Key Considerations for Your Career Path:

• Deep Technical Expertise Required: A strong foundation in Python software development, including an understanding of software design patterns, is essential. Expertise in MLOps, including tools like Git and TeamCity, is highly preferred.
• Financial Industry Experience is Crucial: Proven experience within a financial institution is a significant advantage. This includes a track record of delivering analytical solutions, implementing models, and operationalizing ML workflows.
• Stakeholder Management Skills: The ability to effectively manage stakeholders across business and technology functions, delivering per agreed timelines, is paramount. Strong communication and interpersonal skills are key to navigating complex project landscapes.
• Model Risk Awareness: Adherence to Enterprise Risk Management Policies, particularly Model Risk Policy, is a critical aspect of this role. Understanding and operating within a defined control environment is expected.
• Adaptability and Problem-Solving: The role demands advanced analytical skills to solve complex and sensitive problems. You'll be designing and developing concurrent software solutions and performance benchmarking, requiring a keen eye for detail and efficiency.
• Leadership Behaviors: As a senior member of the team, you will be expected to embody Barclays' leadership behaviours (Listen & be authentic, Energise & inspire, Align across the enterprise, Develop others) and values (Respect, Integrity, Service, Excellence, Stewardship).

This position offers a dynamic and challenging environment for individuals looking to make a significant impact on financial modeling and technological advancement. It is an excellent platform for career growth, particularly for those aspiring to leadership roles within the financial technology sector.