Senior Quantitative Risk Tech Engineer

Jain Global LLC

New York (NY)

In loco

USD 220.000 - 250.000

Tempo pieno

3 giorni fa
Candidati tra i primi

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Descrizione del lavoro

Jain Global LLC is seeking a Quantitative Developer for Risk Technology in New York. You will own platforms that capture positions, compute risk, and deliver near real-time exposure data to risk managers and portfolio managers. The role spans low-latency services, large-scale data pipelines, and APIs that sit atop them.

You will collaborate with quantitative analysts and front-office teams to ensure models run correctly, fast, and reliably at scale across asset classes.

Competenze

  • 5+ years building and operating production systems in a fast-paced environment.
  • Strong grounding in distributed systems, concurrency, service design, and API design.
  • Proficiency with SQL and analytical or columnar stores; time-series tech experience.

Mansioni

  • Design, build, and own risk calculation and exposure aggregation services end-to-end.
  • Develop real-time risk monitoring, limits, alerting, and dashboards for risk managers.
  • Build robust APIs and services (REST/gRPC) for internal consumers.
  • Refactor legacy risk processes into tested, version-controlled services.
  • Ensure data consistency across risk, Front Office, and Finance systems.

Conoscenze

Python
C++
Java
SQL
Kafka
Kubernetes
CI/CD
Distributed systems
Time-series data
Cloud platforms

Formazione

BS/MS in Computer Science, Engineering, Mathematics, Physics, or related quantitative field

Strumenti

Docker
Airflow
Dagster
Kubernetes

Descrizione del lavoro

Jain Global LLC is seeking a Quantitative Developer for Risk Technology in New York. You will own platforms that capture positions, compute risk, and deliver near real-time exposure data to risk managers and portfolio managers. The role spans low-latency services, large-scale data pipelines, and APIs that sit atop them.

You will collaborate with quantitative analysts and front-office teams to ensure models run correctly, fast, and reliably at scale across asset classes.

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