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 analyzing various finance-related datasets and a solid understanding of data analysis principles and methodologies.
- Strong expertise in Python, 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.
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 through 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, plan for the department’s future needs and operations, counsel employees on performance, and contribute to employee pay decisions/changes. They may also lead specialists to influence department operations, aligning with strategic and tactical priorities, while balancing short- and long-term goals and ensuring budgets and schedules meet corporate requirements.
- If the position has leadership responsibilities, People Leaders are expected to demonstrate leadership behaviors such as listening, inspiring, aligning, and developing others, fostering an environment for colleagues to thrive and deliver excellence.
- For individual contributors, they will be subject matter experts guiding technical direction, leading multi-year assignments, coaching less experienced staff, and informing strategic decisions.
- Advise key stakeholders, including senior management, on functional and cross-functional impacts and alignment.
- Manage and mitigate risks through assessment, supporting control and governance initiatives.
- Demonstrate leadership and accountability in managing risks and controls related to the team’s work.
- Understand organizational functions to contribute to business goals.
- Collaborate across business areas to stay aligned with strategies.
- Create solutions based on sophisticated analysis, comparing complex alternatives, and incorporating research outcomes.
- Build trusting relationships with stakeholders using influencing and negotiating skills to achieve key objectives.
All colleagues are expected to embody Barclays' values: Respect, Integrity, Service, Excellence, and Stewardship, and to demonstrate the Barclays Mindset: Empower, Challenge, and Drive.