hirly

Graviton Research Capital

Quantitative Researcher

Gurugram, Haryana, India

hirly Pro

Get in front of the people hiring at Graviton Research Capital

  • Reach the hiring manager at Graviton Research Capital on LinkedIn, from your own account
  • hirly applies to this job for you, with unlimited applications
  • A resume and cover letter written for this job, unlimited
  • The hiring manager and recruiter at Graviton Research Capital, with contact details
Get Pro for this job →

$49 a month · ₹1,999 for 30 days in India · cancel any time

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at Graviton Research Capital first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included

Matched against 2.9M live jobs from 210,000+ employers in 200+ countries.

Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude or ChatGPT and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending.

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Seniority
Mid level
Country
IN
Work mode
On-site / unstated
First seen by hirly
23 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Description:

Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a Quantitative Researcher for our team in Gurgaon. This team trades across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition to statistical inference analysing terabytes of data to come up with ideas to identify pricing anomalies in financial markets.

Responsibilities:

Develop new or improve existing trading models using in-house platforms

Use advanced mathematical techniques to model and predict market movements

Analyse large financial datasets to identify trading opportunities

Provide real time analytical support to experienced traders

Requirements:

Possess a degree in a highly analytical field, such as Engineering, Mathematics, Computer Science from IITs schools

Quantitative bent of mind

A working knowledge of Linux/Unix

Programming experience, preferably in C++ or C

No prior knowledge of financial markets is needed but must have a strong interest in learning about financial markets.

Have a strong work ethic

Hard Working

Benefits:

Our open and collaborative work culture gives you the freedom to innovate and experiment. Our cubicle free offices, non-hierarchical work culture and insistence to hire the very best creates a melting pot for great ideas and technological innovations. Everyone on the team is approachable, there is nothing better than working with friends!

Our perks have you covered.

Competitive compensation

Annual international team outing

Fully covered commuting expenses

Best-in-class health insurance

Delightful catered breakfasts and lunches

A well-stocked kitchen

4 week annual leaves along with market holidays

Gym and sports club memberships

Regular social events and clubs

After work parties

Original posting on Graviton Research Capital's site ↗

Listed on hirly, a job board. hirly is not the employer: Graviton Research Capital is hiring for this role.

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job