Data Analyst – Financial Markets
Canary Wharf, 1 Churchill Place, United Kingdom
Barclays
Barclays is a British universal bank. Our businesses include consumer banking, as well as a top-tier, global corporate and investment bank.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.
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.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Azure Banking Computer Science Data analysis Excel Finance GCP Machine Learning Mathematics Matplotlib NumPy Pandas Power BI Privacy Python R Research Seaborn Security SQL Statistics Tableau Trading Strategies
Perks/benefits: Career development
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