Job Description

Dolat Capital Quant Research/ Strategy team works in the field of fully automated quan ta ve trading systems. We employ advanced mathema cal and sta s cal techniques to develop our own proprietary algorithms, which are designed to analyse and interpret market pa erns and behaviors. Our core exper se is centered around the development and implementa on of high-frequency trading algorithms. Our team is composed of a diverse group of top-er researchers with backgrounds across various scien fic disciplines. Together, we have constructed a comprehensive set of analy cal tools and a high-performance trading infrastructure. These resources are instrumental in facilita ng the en re lifecycle of quan ta ve strategy development, from design and development to seamless execu on, across financial markets. Dolat Capital is ac vely seeking an experienced Quan ta ve Researcher/Strategist to join our team, with a primary focus on conduc ng research, developing models, and execu ng quan ta ve trading strategies within the APAC markets. We highly value the consistent profitability of trading strategies, and we are looking for individuals who can contribute to our mission of achieving excellence in quan ta ve trading.

Responsibili es:

As an experienced Quan ta ve Strategist/ Researcher at Dolat Capital, your responsibili es will include:

Working in a fast-paced, mul tasking environment, analysing a large amount of data and developing predic on algorithms/ regression models, and implemen ng them in C++, R, Matlab, and Python environments.

Overseeing a portolio of listed products.

Monitor and execute quantitative strategies across financial markets.

Engaging in collaborate ve efforts with fellow traders and quantitative researchers to enhance current strategies.

Maintaining close collaborate on with developers to refine systems, minimize latency, and opmizeexecu on.

Identifying and capitalizing on fresh trading prospects

Job Type: Full-time

Pay: ₹1,000,000.00 - ₹1,200,000.00 per year

Education:

Doctorate (Required)
Experience:

7years: 3 years (Required)
Work Location: In person