Senior Software Engineer - Risk

Weekday; Bengaluru; On-site; INR 6,000,000 - 7,000,000; Full time

Job summary

FalconX in Bengaluru, Karnataka, is seeking a mid-senior Quant Risk professional to architect and implement next-generation risk solutions for clients and internal teams.

The role demands strong expertise in Python, software engineering, and distributed architectures, with experience in Linux/AWS. You will own risk tooling, collaborate across risk functions, and lead a small team in delivering reliable risk infrastructure.

Qualifications

• Degree in relevant field (CS/EE/Financial Eng/Math/Physics) or equivalent.
• At least 4 years of professional experience in a quant risk role.
• Experience in risk management in a trading environment (hedge fund or bank).
• Knowledge of financial products and derivatives asset classes.

Responsibilities

• Develop, maintain, and enhance proprietary risk management tools, infrastructure, risk data, and processes.
• Architect and build scalable, robust risk solutions for institutional customers and internal teams.
• Work with risk team to develop, maintain, and improve the risk management stack.
• Coach and mentor teammates on supporting and maintaining risk solutions.

Skills

Quant Risk

Risk Management

Python

Software Engineering

Education

Degree in Computer Science, EE, Financial Engineering, Mathematics, Physics, or equivalent fields

Job description

This role is for one of our clients

Industry: Financial Services
Company Name: FalconX

Seniority level: Mid-Senior level

Min Experience: 4+ years

Location: Bengaluru, Karnataka, India
JobType: full-time

₹60,00,000 - ₹70,00,000 a year

Job Description & Requirements

Impact

• Architect and build next-generation risk solutions for FalconX and its clients.
• Evolve FalconX’s risk technology to be best-in-class, working on cutting-edge technology with the right balance of speed, accuracy, and reliability.

Responsibilities

• Develop, maintain, and enhance proprietary risk management tools, infrastructure, risk data, and processes.
• Architect and build scalable, robust, performant risk solutions for institutional customers and internal teams.
• Work closely with multiple members of the risk team to develop, maintain, and improve the risk management stack.
• Coach and mentor teammates on supporting and maintaining risk solutions.

Requirements

• Degree in Computer Science, EE, Financial Engineering, Mathematics, Physics, or equivalent fields.
• At least 4 years of professional experience in a quant risk role.
• Experience in risk management in a trading environment (hedge fund or bank).
• Knowledge of a range of financial products and experience with a variety of derivatives asset classes.
• Extensive experience with software engineering, object-oriented coding design, and complex, distributed architectures.
• Comfortable working with Linux/AWS environments and Python programming.
• Proactive with a strong sense of ownership and excellent communication skills.

Must-Have Skills

• Quantitative Risk / Quant Risk
• Risk Management
• Python
• Software Engineering

Good-to-Have Skills

• Trading / Trading Systems
• Derivatives
• Distributed Systems
• AWS
• Linux