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