Analyst - Quantitative Research - BFS

- Collect insights and data from SQL data infrastructure to support colleagues, monitor QPS automation jobs investigate and escalate to RTB in case of job failures.

- The candidate will be expected to have a critical eye on the established process/systems in order to question them in a positive, productive and efficient way.

- IT teams: We work with research IT teams in order to support the production and be able to rollout in a timely fashion on our new fixes.

- Assist the senior QPS Analytics members in adhoc data requests.

- Other QPS members: We are currently working on a cross-asset research support. As part of this effort, the successful candidate will work with other members to conduct exploratory data analysis where needed.

Stakeholder Management and Leadership

- This position sits within the Global Research function providing support to Analytics research and production activities.

- Decision-making and Problem Solving

- This hands-on role requires strong analytic skills to be able to understand and support model implementation and tools. The role requires good judgement in dealing both with short-term and longer-term projects with direct impact on the data products and a strong drive to develop an in-depth understanding of processes.

Risk and Control Objective

- Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Barclays Policies and Policy Standards.

Person Specification :

- Personal attributes essential to performing role including competencies, expertise, knowledge, and experience. Note: experience requirements must not be in the form of years (minimum or otherwise).

Essential Skills/Basic Qualifications :

- Bachelors degree in Computer Science, Applied Mathematics, Statistics, Engineering or equivalent from IIT/other premier institutes

- 0 -1 years of experience in data management and analysis

- 0 -1 years of experience in a financial institution or firm, in a quantitative area

- Exposed to R, Python and SQL with evidence of application during academia, internship and short projects

- Fresher with strong quantitative background and a finance plus coding enthusiast highly desirable

Desirable skills/Preferred Qualifications:

- Strong logical thinking, problem solving, mathematical and programming skills (Python, SAS or similar)

- Extract and analyse data from large quote datasets

- Able to work effectively in a fast-paced and demanding environment

- Excellent verbal and written communication. Ability to write effective, high-quality emails and documents