Advisory Quantitative Analyst

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.

Vice President Expectations

• To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..
• If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..
• If the position has leadership responsibilities, People 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..
• OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
• Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

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.

Join us as an Advisory Quantitative Analyst in our Private Banking team in our London office.

About Advisory Analytics  

Advisory Analytics sits in the Investments pillar of Barclays Private Banks & Wealth Management (PBWM). We are a team of quantitative investments subject matter experts (SMEs) whose mission is to help grow the business by providing quantitative consultancy services to Investment Advisors (IAs); in doing so, we build the foundations for investment solutions that align to client’s return objectives, risk tolerance / capacity and PBWM’s best thinking.

Advisory Analytics provide quantitative support to IAs when pitching and conducting portfolio reviews. We develop and maintain tools for use by IAs and write educational material to help clients to understand their investments. For higher value, more complex cases & sophisticated clients, we provide a bespoke quantitative analytics service. We work with IAs to provide analytics for clients who require a deeper understanding of their investments and join client meetings to discuss analytics in detail.

Overall purpose of role

To work closely with key stakeholders and clients to:

• Find innovative solutions to wide ranging quantitative problems and questions from clients (topics including risk, expected return, stress testing, back testing etc)
• Develop new and existing tools and models to scale analytics that can add value to clients
• Automate processes and calculations whenever possible
• Be a key contributor and subject matter expert on the quantitative aspects of the roll out of our strategic advisory system
• Develop relationships within the business and promote the capabilities of the team
• Join client meetings to discuss and explain the risk and return characteristics of their portfolios
• Research and write articles on topics relevant to analytics

Essential Skills/Basic Qualifications:

• Knowledge and experience of quantitative financial methods
• Experience in asset allocation
• Knowledge of the workings of a large range financial instruments and asset classes
• Excellent coding skills – in particular Python

Desirable skills/Preferred Qualifications:

• Client-facing experience
• Previous experience working within private banking
• Experience working with structured products
• Experience in rolling out large scale investment advisory systems

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

This role is based in London