Real-Time Risk Tech Developer

Jain Global; Hong Kong; Hybrid; HKD 1,412,000 - 2,510,000; Full time

Benefits offered by this job

Ownership

Global exposure

Engineering depth

Career development

Job summary

Jain Global is seeking a Quantitative Developer to join its Risk Technology team across Singapore and Hong Kong. You will own platforms that capture positions, compute risk, and deliver near real-time exposure data for risk managers and portfolio managers.

This engineering-first role covers low-latency services, data pipelines, distributed compute, and APIs on top of them, collaborating with risk analysts to ensure correctness and performance at scale.

Qualifications

• BS/MS in Computer Science, Engineering, Mathematics, Physics, or related quantitative field; advanced degree welcome.
• 8+ years building and operating production systems with Python and at least one systems language.
• Strong grounding in distributed systems, concurrency, API design, and production ownership.
• Automated testing, CI/CD, observability, and infrastructure as code are expected.
• Performance-focused with attention to latency and throughput.

Responsibilities

• Design, build, and own risk calculation and exposure services from capture to delivered risk numbers.
• Develop real-time risk monitoring, limits, breach detection, alerts, and dashboards.
• Create APIs and services (REST/gRPC, streaming) for risk data across the firm.
• Maintain front-end tooling and interfaces for risk, strategy, and desk views.
• Refactor legacy risk processes into tested, version-controlled services.
• Build resilient data pipelines for positions, trades, market data, and counterparty exposures.

Skills

Python

Distributed systems

API design

Performance tuning

Problem solving under pressure

Education

BS/MS in Computer Science/Engineering/Mathematics/Physics

Tools

C++

Java

Rust

SQL

kdb+/q

ClickHouse

Kafka

Redis

Airflow

Dagster

Kubernetes

Job description

Jain Global is seeking a Quantitative Developer to join its Risk Technology team across Singapore and Hong Kong. You will own platforms that capture positions, compute risk, and deliver near real-time exposure data for risk managers and portfolio managers.

This engineering-first role covers low-latency services, data pipelines, distributed compute, and APIs on top of them, collaborating with risk analysts to ensure correctness and performance at scale.