Quant Capital - Algorithmic Trading

Quant Capital is a full fledged financial services firm with multiple business lines like Institutional Research and Sales, Wealth Advisory, Investment Banking, Commodities, and Fixed Income trading. We are subsidiary of Reliance Capital, and our goal is to be a broker of choice for Domestic and Foreign Institutional Investors, and HNIs, and being one of the best in all the areas we operate in. Since inception in late 2007, we have now grown to 200+ people, and are rapidly scaling up several business lines. Our brand has been further bolstered by notable mentions in Asiamoney poll, where we are among top 20 brokers in Asia within several categories.

Role:

- We are looking to hire for our Algorithmic trading team. In coming years, orders coming from algorithms might surpass the ones coming manually, and its imperative for all brokers to invest and prepare for this change. The job will entail development of Arbitrage Strategies like cash-futures, index arbitrage,options trading strategies, and execution strategies for clients. The candidate will be involved in the full life cycle from coding, developing trading ideas and executing algorithms on proprietary infrastructure. The role would involve maintaining existing algorithms, analyzing performance, improvement and development of new algorithms, and communicating with external and internal clients.

Skills Requirement:

- Graduate/ Post-Graduate Degree in Computer Science/Information Technology or equivalent

- Relevant experience in Strategy / Trading software development

- Strong coding experience

- Strong, methodical problem solving and numerical reasoning skills are a must

- Extremely strong in at least a few programming languages like C++, C#, VB .Net, MATLAB, Python, R, Java

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

Please apply only if you meet the above requirements, and kindly apply with Subject as: Algorithmic trading for Quant Capital

Tarun Koshi
HR, Quant Capital