Quantitative Researcher/Trader

3 days ago

Mumbai, Maharashtra, India Tara Capital Partners Full time
About Us:

Tara Capital Partners is an established multi strategy hedge fund based in India, focused on delivering sustainable alpha across fundamental and quantitative strategies in emerging markets. Backed by institutional capital, Tara Capital operates at the intersection of intellectual rigor and entrepreneurial execution.

We have developed a proprietary, best in class, Algorithmic Trading platform to provide liquidity to capital markets. Our goal is to incorporate modern tools and global best practices in our research and development process in an attempt to create a set of strategies that manage capital across markets and segments.

Responsibilities (include, but not limited to the following):

- Developing relationships using Quant techniques and models
- Analyze data sets to identify a new set of alphas and provide analytics of existing trades
- Research and apply concepts from academic journals and financial literature and translate into fully automated trading strategies using a range of historical data, price, and volume inputs
- Build models and deploy high-frequency/mid-frequency or low - frequency trading strategies on different asset classes
- Researching portfolio construction and risk allocation techniques - Back-testing ideas using historical TBT data
- Evaluating strategy performance, making improvements, and scaling up successful strategies

Requirements:

- A STEM degree from a Tier I technical academic institution
- A strong background in data structures, algorithms, and problem solving
- Prior experience in Quantitative research or strategy development in the algorithmic set up (desirable)
- Quantitative aptitude and research oriented mindset
- Strong work ethic, self-motivated and hard working

Benefits

- Competitive & transparent compensation structure
- Robust and efficient trading infrastructure for development of multi frequency Trading strategies (low, medium and high frequency trading)
- Access to multiple markets and asset classes across the globe
- Nimble and a flat structured hierarchy that cuts buearocracy
- Exposure to cutting edge research in quantitative finance, statistics and portfolio management
- Friendly work culture with added focus on career development of an individual

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