The candidate would not only be undertaking quantitatively driven projects but would be taking responsibility of the operational aspects of the strategy running in production. He/she would have to continuously learn new ML/Statistical/Analytical skills to successfully undertake these analytical projects. The role could further involve

- Deploying existing models/strategies to wider set of products/exchanges.

- Active monitoring of strategies/risk limits during market hours

- Extend automation pipeline for strategy deployment and post trade analyses

- Track performance of active strategies over days and tweak model parameters with minimal supervision

- Analyse latency performance of the strategy. Work closely with the infra development team to conceptualise, test & deploy changes to improve latency performance of the strategy.

- Work closely with the 'Production Reliability Team'

- For any operational/performance issues during trading hours.

- Optimised setup of servers after taking into account the strategy requirement and load for deployment of new releases of Infra platform.

- Work closely with the 'Data Team' for data requirement of the existing or new strategies.

Technical background and requirements :

- Proficiency in Linux systems

- Proficiency in python based analytics frameworks like pandas and numpy.

- Working knowledge of at least one pipelining/scheduling software i.e airflow, htcondor, kubernetes etc

- Experience with big data including experience with the structure of the data.

- Willingness to work as per business requirements.

Preferable : Prior experience in financial market including experience of working with Tick by Tick data.