Quant Developer (4+ Years)

Crest Ventures Limited; Mumbai; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

A financial technology firm is seeking a Quant Developer to enhance their core backend systems for algorithmic trading. Responsibilities include designing backend services that handle real-time data, building scalable data pipelines, and developing APIs for platform operations. Strong proficiency in Python is essential, along with experience in event-driven architectures. Ideal candidates should have a solid grasp of system reliability and containerized environments. This position supports a dynamic trading environment with a focus on operational excellence.

Qualifications

• Strong proficiency in Python with experience building backend systems.
• Experience working with real-time or event-driven architectures.
• Solid understanding of asynchronous programming and concurrency.
• Experience building and integrating REST/WebSocket APIs.
• Solid database fundamentals across relational and NoSQL.
• Familiarity with queues or streaming systems like Kafka/RabbitMQ.
• Designing for reliability, observability, and long-running workloads.
• Experience in containerised and cloud environments.

Responsibilities

• Design and develop backend services that process real-time and event-driven data.
• Build and maintain scalable data pipelines for ingestion, transformation, and downstream consumption.
• Develop internal services and APIs that support platform workflows and operational needs.
• Integrate with external services and counterparties.
• Translate high-level requirements into production-grade software.
• Create execution-critical services with strong focus on correctness and fault tolerance.
• Implement safeguards and controls within backend workflows.
• Design scalable systems for increasing data volumes and complexity.
• Monitor and improve production systems, including incident response and fixes.
• Collaborate with engineering, research, and operations teams to evolve the platform.

Skills

Python

Real-time or event-driven architectures

Asynchronous programming

API integration

Database fundamentals

Message queues

System design for reliability

Containerized environments

Job description

Position Overview

We are looking for a Quant Developer to work on core backend systems for an algorithmic trading fund. The role involves building and operating services that process real-time data, integrate with external systems, and run continuously in production.

This is a systems-focused engineering role where design quality, operational stability, and attention to detail matter. An understanding of financial markets can be a strong advantage, as it helps in reasoning about system behaviour, edge cases, and reliability requirements in live environments.

Responsibilities

• Design and develop backend services that process real-time and event-driven data.
• Build and maintain scalable data pipelines for ingestion, transformation, and downstream consumption.
• Develop internal services and APIs that support platform workflows and operational needs.
• Work on systems that integrate with external services and counterparties.
• Translate high-level logic and requirements into reliable, production-grade software.
• Build execution-critical services with a strong focus on correctness, observability, and fault tolerance.
• Implement safeguards and controls within backend workflows to ensure predictable behaviour.
• Design systems that scale with increasing data volumes and account complexity.
• Monitor, maintain, and improve production systems, including incident response and post-incident fixes.
• Collaborate closely with engineering, research, and operations teams to evolve the platform.

Required Technical Skills

• Strong proficiency in Python with experience building backend systems.
• Experience working with real-time or event-driven architectures.
• Solid understanding of asynchronous programming and concurrency.
• Experience building and integrating APIs (REST, WebSockets, or similar).
• Strong database fundamentals across relational and non-relational systems.
• Familiarity with message queues or streaming systems (Kafka, RabbitMQ, or similar).
• Experience designing systems for reliability, observability, and long-running production workloads.
• Comfort working in containerised and cloud-based environments.

Good to Have

• Understanding of financial markets, particularly exchange-traded products and derivatives.
• Prior experience working on systems where correctness and uptime are critical.
• Exposure to market data, execution systems, or risk-aware workflows (from a systems perspective).
• Experience building internal platforms or tooling used by technical teams.
• Familiarity with Golang in performance-sensitive components.

Skills: hft,python,financial markets,fastapi