Quantitative Researcher - Strategy Team - BFS

About the Role

- The Quantitative Researcher would be a part of a strategy team. He / She will collaborate closely with industry experts to develop analytics for various aspects of a quantitative research process like data processing, signal generation, algorithm development and back-testing, risk analysis, performance analysis and environment analysis.

- We are seeking candidates who have excelled in quantitative fields of mathematics, statistics, pure sciences, engineering, etc. Finance domain knowledge is not required. This role is ideal for candidates who have a strong programming base and are interested in quantitative research.

Responsibilities includes but is not limited to the following:

- Develop and conduct quantitative finance research with a focus on statistical and predictive models.

- Read research papers and journals to understand research ideas.

- Manage different aspects of the research process including methodology selection, data collection and analysis, prototyping and back testing

- Build systems for construction and analysis of portfolios.

- Build analytics for risk, performance and environment analysis of portfolios.

Qualifications:

- B.Tech., Dual Degree M.Tech., or M.Sc. (Integrated) in Computer Science, Mathematics, Statistics, Engineering, Physics or similar quantitative disciplines.

- Demonstrated ability to conduct independent research utilising large data sets.

- At least 2 years of experience in programming, quantitative analysis or as a data scientist.

- Strong programming skills in one of the following: Python, C++, C# or Java.

- Good written and oral communication skills.

- Good coordination skills and ability to work in a team.

- Excellent mathematical skills.

- Familiarity with Mathematical Finance would be considered advantageous.