Data Analyst – Financial Markets

Purpose of the role

To provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain, applying quantitative analysis, mathematical modelling, and technology to optimise trading and investment opportunities. 

Accountabilities

• Development and implementation of quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and risk management across various financial products and markets.
• Working closely with sales teams to identify clients' needs and develop customised solutions.
• In-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics.
• Provide front office infrastructure support though ownership and maintenance of analytical libraries.
• Provision of expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• 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 lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders 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.

We are seeking a skilled Data Analyst to collect, process, and analyze data to support business decision-making, identify trends, and provide actionable insights. The ideal candidate will have a background in handling and analysis various finance related dataset and a solid understanding of data analysis principles and methodologies.

Accountabilities:

• Gather and clean data from various sources to ensure data integrity.
• Analyze datasets to identify patterns, market trends, and opportunities.
• Create dashboards, reports, and visualizations using tools like Excel, Tableau, or Power BI.
• Collaborate with stakeholders to define data needs and project goals.
• Interpret data to offer business solutions and inform strategic decisions.
• Develop and maintain databases or automated reporting systems.
• Ensure compliance with data privacy and security regulations.

Essential Skills:

• Strong expertise in Python, or R or other programming languages for data science.
• Proficiency with statistical methods, time-series analysis, and machine learning techniques.
• Experience with data manipulation tools (e.g., Pandas, NumPy) and visualization libraries (e.g. Matplotlib, Seaborn).
• Familiarity with financial databases/APIs like Bloomberg, Reuters, Quandl, or FactSet.
• Understanding of financial instruments (equities, fixed income, derivatives, etc.) and market microstructure.
• Knowledge of SQL and cloud platforms (e.g., AWS, Azure, GCP) is a plus.
• Bachelor’s/Master’s degree in data science, Computer Science, Finance, Mathematics, or a related field.
• Strong experience in a data science or quantitative role, preferably within finance.
• Certifications such as CFA, FRM, or data science specializations are advantageous.

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

This role is based in our London Location.