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About the Role

Quantitative Developers

Key Responsibilities

Design and implement quantitative models (pricing, risk, valuation, calibration, scenario analysis) used in production.
Write high‑performance
C++
components (preferably with
Visual Studio 2017
) and robust
Python
tooling for research, data processing, and automation.
Build and maintain
multi‑component architectures
(services, libraries, APIs) with clear ownership, contracts, and deployment strategies.
Develop and enforce
coding standards
; implement automated testing (unit/integration) and code reviews.
Set up and optimize
CI/CD pipelines
(build, test, package, deploy) to reduce lead time and increase release reliability.
Apply
distributed computing
patterns for large‑scale simulations/back testing; implement efficient
serialization
(e.g., Protocol Buffers/Avro/JSON) for data exchange.
Collaborate with quants, traders, risk, and IT to translate requirements into performant, maintainable solutions.
Create documentation and knowledge‑sharing resources for models, services, and deployment runbooks.

Must‑Have Qualifications

7–10 years
working as a Quantitative Analyst/Developer in quantitative finance, IT development, or trading environments.
Degree
in
Mathematical Finance, Science, or Mathematics
from a
top‑tier university
.
Knowledge of standard
investment banking pricing models
and their implementation considerations.
C++ — 5+ years
(Visual Studio 2017 experience preferred).
Python — 3+ years
in production/research workflows.
Proven experience establishing
coding standards
and
CI/CD pipelines
.
Hands‑on building
multi‑component architectures
, with exposure to
distributed computing
and
serialization techniques
.

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Quantitative Developer

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