Director - Quantitative Analytics

What will you be doing:

• Drive technical architecture with technology with a keen focus on DevOps and automation across the model development & deployment life-cycle.
• Build & maintain analytical frameworks that promote the re-use of model calculation across multiple business use-case (e.g. IFRS9, CECL, Stress testing).
• Work with data scientists & quantitative model developers to drive strategic initiatives and deliver innovative financial models used for risk reporting and capital adequacy.
• Collaborate with Tech and Quantitative teams globally to develop and refine data science infrastructure in Python and drive the Modelling Data Strategy.
• Partner with technology to build scalable, data and analytics platforms that can connect to internal systems for pricing and/or reporting systems. 
• Supervise a team of quantitative developers to build analytics by using distributed computing solutions in python.

Essential skillsets required for this role:

• A Bachelor’s or master’s degree in computer science or related fields. 
• Expertise in python software development, with a strong understanding of software design patterns. Expertise in MLOps preferred along with DevOps tools such as Git, TeamCity, etc. 
• Expertise in stakeholder management across business & technology partners with a proven ability to deliver per agreed timelines. 
• Excellent technical writing, verbal and written communication skills.
• Experience in a financial institution delivering analytical solutions, model implementation, and/or productionization of ML workflows (MLOps).  
• Experience with Model deployment frameworks and workflows using MLFlow in databricks, kedro, etc.
• Experience in developing frameworks for mathematical, statistical, and machine learning models and analytics used in business decision-making.  
• Experience in designing and developing concurrent software solutions and performance benchmarking.

Purpose of the role

To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making

Accountabilities

• Design analytics and modelling solutions to complex business problems using domain expertise.
• Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools.
• Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams.
• Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them.
• Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users.
• Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy.
• Ensure all development activities are undertaken within the defined control environment.

Director Expectations

• To manage a business function, providing significant input to function wide strategic initiatives. Contribute to and influence policy and procedures for the function and plan, manage and consult on multiple complex and critical strategic projects, which may be business wide..
• They manage the direction of a large team or sub-function, leading other people managers and embedding a performance culture aligned to the values of the business. Or for an individual contributor, they lead organisation wide projects and act as deep technical expert and thought leader, identifying new ways of working and collaborating cross functionally. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
• Provide expert advice to senior functional management and committees to influence decisions made outside of own function, offering significant input to function wide strategic initiatives.
• Manage, coordinate and enable resourcing, budgeting and policy creation for a significant sub-function.
• Escalates breaches of policies / procedure appropriately.
• Foster and guide compliance, ensure regulations are observed that relevant processes in place to facilitate adherence.
• Focus on the external environment, regulators, or advocacy groups to both monitor and influence on behalf of Barclays, when appropriate.
• Demonstrate extensive knowledge of how the function integrates with the business division / Group to achieve the overall business objectives.
• Maintain broad and comprehensive knowledge of industry theories and practices within own discipline alongside up-to-date relevant sector / functional knowledge, and insight into external market developments / initiatives.
• Use interpretative thinking and advanced analytical skills to solve problems and design solutions in often complex/ sensitive situations.
• Exercise management authority to make significant decisions and certain strategic decisions or recommendations within own area.
• Negotiate with and influence stakeholders at a senior level both internally and externally.
• Act as principal contact point for key clients and counterparts in other functions/ businesses divisions.
• Mandated as a spokesperson for the function and business division.

All Senior Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.