Python/SQL Data Analyst - Market Data sought by leading investment bank based in London.
**Inside IR35 - 3 days a week onsite**
Key Responsibilities for the Role:
- Perform time-series data quality check offline through python execution and carry out investigation of data defects range from missing, staleness and outliers.
- Collaborate with team members across Asia, UK/Europe and US to complete historical market data DQ process
- Executing functions from in-house development library to backout levels from remediated returns
Qualifications:
- Proficient in Python and/or SQL
- Undergraduate degree in a quantitative or technical discipline such as Economics, Applied Econometrics, Computer Science, Engineering, and Quantitative Finance. Master's degree or higher in quantitative disciplines a plus.
- Knowledge of or interest in finance, markets, risk management. Prior financial experience is not required.
- Ability to communicate / articulate complex subjects and good presentation skill.
- Good people skills with a 'can do' attitude and a 'self-starter.'
Please apply within for further details or call on 07393149627
Alex Reeder
Harvey Nash Finance & Banking
