Assistant Manager - Quant Algo Developer - Algorithmic Trading Group - Institutional Equities

Quant Algo developer for Algorithmic Trading Group, Institutional Equities. Primary responsibility will involve maintaining existing algorithms, analyzing performance, improvement and development of new algorithms, and communicating with external and internal clients.

The Algorithmic Trading group within Institutional Equities is an enterprising team involved in the following :

- Designing, implementing and maintaining trading algorithms for institutional clients

- Quant modelling, code implementation, testing, liaising with the exchanges and support for execution algorithms

- Liaising with sales trading, sales teams and external clients for improving present algorithms and coming up with new ideas

- Develop Statistical & Mathematical Models in C++, R, python for pre trade and post trade solutions, anti-gaming measures and market microstructure research

- Working on challenging technologies like SOR, FIX, DMA etc

- Electronic Sales and Marketing

- Managing the Infrastructure and latency optimizations

- Relevant experience in Strategy / Trading software development and Quantitative Research

- Graduate/ Post-Graduate Degree in Computer Science, Mathematics / Statistics, Electronic/Telecommunication Engineering, Information Technology.

- Experience with Statistical/Quant modelling.

- Knowledge of Econometrics, Time series analysis and trend forecasting.

- Strong Programming experience (preferably in the financial markets domain)

- Highly Proficient in C++, Python.

- Experience with Linux/Unix based systems.

- Proven history of trading strategy development will be a positive

- Experience of working with Algo-trading solutions such as (Omneysys / RTS/ NEST/ Apama/ FlexTrader/ Presto/ AlgoStudio/ Greek / Odin/ Neat+/ Neat/ others) is a plus.

- Experience with low latency programming is a plus