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Senior Quantitative Developer

True Talent Solutions Partners Verified employer

Full time On-site
Experience
5+ years
Location
India
Work mode
On-site
Salary
₹10L – ₹24L a year estimatetypical for IT Jobs in India, 815 posts
Posted 6 hr ago Last checked 48 min ago

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Role at a glance

You will
  • You will translate defined methodologies into reliable production systems, strengthen validation, and help expand the platform across…
  • Implement and maintain production risk calculations, translating written methodologies into clear, tested code and raising ambiguities for…
  • Ensure scoring runs are repeatable and safe to replay, and improve performance as data volumes grow.
Experience
5+ years
Must-have skills
Data EngineeringDjangoPython
Work mode
On-site

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Job description

Location: India
Department: Client Roles

About the Role

Join a fintech team building and operating analytical software for financial risk scoring. You will translate defined methodologies into reliable production systems, strengthen validation, and help expand the platform across analytical areas.

What You'll Do

  • Implement and maintain production risk calculations, translating written methodologies into clear, tested code and raising ambiguities for resolution.

  • Ensure scoring runs are repeatable and safe to replay, and improve performance as data volumes grow.

  • Design modular analytical libraries and contribute to architecture used by product and engineering teams.

  • Build a deterministic reference-data validation harness, integrate it into CI, and report model coverage and drift.

  • Diagnose live scoring issues across ingestion, application code, data quality, and methodology.

  • Support tested migrations and backfills for live financial data, with a recovery path.

What We're Looking For

  • At least 5 years of production software engineering experience, shipping and maintaining deployed systems with tests, code review, and CI.

  • Experience building large-scale systems and working with high-volume data, web scrapers, and data adapters.

  • Hands-on implementation experience with risk models, including volatility, correlation, concentration, or tail measures, or experience with options, structured products, and derivatives.

  • Production experience with Python and Django, plus a quantitative or technical background or equivalent demonstrated experience.

  • Knowledge of financial instruments, US markets, classification, scoring factors, and proxy selection for instruments without historical data.

  • Experience with automated solutions, reference-set validation, and modular analytical software; breadth across risk, analytics, or data engineering is valued.

  • Ability to document methodology and explain results to non-quantitative audiences; tax optimization experience is also relevant.

Compensation & Benefits

Salary: $4,000 to $8,000 USD. Visa sponsorship is not available.

Location

Remote, based in India.

Key skills

Required

Data EngineeringDjangoPython

Job market insights

691active Data Engineering jobs in India
135active Django jobs in India
4,322active Python jobs in India
₹10L – ₹24L advertised yearly salary for IT Jobs in India (middle half of 815 posts that show a salary; median ₹17L)

Jobs asking for Data Engineering in India also ask for

  • Python62%
  • SQL58%
  • AWS41%
  • Microsoft Azure41%
  • CI/CD40%

From live job posts on CoreHRx, updated 10 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this Senior Quantitative Developer job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹10L – ₹24L a year (typical for IT Jobs in India, 815 posts).

How much experience does this job need?

The post asks for 5 Yrs experience.

What kind of job is this?

It is a full time job.

This page helps Indian job seekers prepare for Python interviews for backend, data engineering and data analyst roles, whether you are a fresher facing your first technical round or an experienced developer aiming for a senior position. It has 60 questions in three levels, easy, medium and hard, each with a concise sample answer and, where it helps, runnable Python 3.12 code. Topics include data structures, OOP, generators, decorators, the GIL and concurrency, type hints, testing and performance. Answer each question aloud in your own words first, then compare with the sample answer and run the code to check your understanding.

Questions you may be asked

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  3. What is the difference between is and ==?
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