Quantitative Researcher - Early Career (INDIA)

Trexquant Investment LP; Gurugram District; On-site; INR 800,000 - 1,200,000; Full time

Benefits offered by this job

Competitive compensation with performance bonus

Collaborative and friendly work environment

Job summary

A leading hedge fund is seeking an entry-level machine learning specialist to design and optimize predictive models for liquid financial assets. Candidates should have a graduate degree in a STEM field, a passion for machine learning, and programming skills in Python. The role offers competitive compensation, bonus tied to algorithm performance, and a collaborative work environment.

Qualifications

• Graduate degree (Bachelors, Masters, or PhD) in a STEM discipline from a prestigious institution.
• Passion for machine learning and quantitative finance.
• Strong problem-solving skills.

Responsibilities

• Design, implement, and optimize machine learning models for predicting liquid assets.
• Parse data sets for strategy development.
• Collaborate with quantitative researchers for experiments.

Skills

Problem-solving

Machine learning

Teamwork

Python programming

Education

Graduate degree in STEM

Job description

Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity and futures markets globally. Starting with many data sets, we develop a large set of features and use various machine learning methods to discover trading signals and effectively combine them into market‑neutral portfolios. We are looking for scientists, engineers, economists, and programmers to develop the next generation of machine learning strategies that can accurately predict the future movements of liquid financial assets.

Responsibilities

• Design, implement, and optimize various machine learning models aimed at predicting liquid assets using a wide set of financial data and a vast library of trading signals
• Parse data sets to be used for alpha (strategy) development
• Investigate and implement state‑of‑the‑art academic research in the field of quantitative finance
• Collaborate with experienced and resourceful quantitative researchers to carry out experiments and test hypothesis using simulations

Requirements

• Graduate degree (Bachelors, Masters, or PhD) in any STEM discipline from a prestigious institution
• Passion for machine learning and quantitative finance
• Strong problem‑solving skills
• Ability to work effectively both as an individual and a team player
• Proficient in programming languages such as Python
• Previous experience in alpha research and the development of trading signals and strategies
• Experience between 1 year to 10 years

Benefits

• Competitive compensation with bonus tied to the performance of algorithms you develop
• Work in a collaborative and friendly environment, participate in decision‑making process for research direction, and have opportunity to lead on new ideas

Seniority level

Entry level

Employment type

Full‑time

Job function

Finance and Sales

Industries

Technology, Information and Internet

Trexquant is an Equal Opportunity Employer