Risk Manager

Zanskar; Gandhinagar; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Keka Inc. is seeking a Risk Manager to take end-to-end ownership of capital monitoring, exchange compliance, and internal risk control systems across trading desks.

You will monitor margin usage for prop and institutional books, implement thresholds before exchange limits, and ensure adherence to SEBI, NSE, and BSE regulations with RMS frameworks. Collaborate with trading, ops, and engineering teams to build real-time dashboards, track regulatory updates, and evolve risk segmentation based on

Qualifications

• 2–5 years of experience in risk management at a stockbroking firm, trading desk, or HFT platform.
• Strong working knowledge of SEBI risk guidelines.
• NSE/BSE compliance requirements.
• Experience using risk tools such as N Prime, Fincorp, Omnesys.
• Demonstrated ability to own and adapt RMS logic, not just execute existing rules.
• Experience managing non-retail clients and high-frequency trading strategies.
• Strong communication skills — especially in coordinating with trading, ops, and engineering teams under pressure.

Responsibilities

• Monitor margin utilization across trading books (prop and institutional), especially for leveraged products (Futures & Options)
• Implement internal risk thresholds before exchange-imposed limits
• Ensure strict compliance with SEBI, NSE, and BSE regulations, including: Peak Margin Framework; Intraday Snapshot-Based Margin Checks; Utilization and Exposure Limits
• Collaborate with internal trading desks to pre-empt risk breaches, reduce exposure, and maintain required buffers
• Work closely with tech teams to define alerting logic and dashboards for real-time risk visibility
• Track and interpret regulatory updates, circulars, and RMS advisories; implement changes swiftly
• Design and evolve internal risk segmentation frameworks based on client AUM, trade frequency, and product type

Skills

Risk management

Strong communication skills

Cross-functional collaboration

Trading desk coordination

Tools

N Prime

Fincorp

Omnesys

Job description

We are seeking a Risk Manager to take end-to-end ownership of capital monitoring, exchange compliance, and internal risk control systems. The role ensures adherence to exchange norms, minimizes margin penalties, and supports smooth trading operations across proprietary and institutional desks.

Key Responsibilities

• Monitor margin utilization across trading books (prop and institutional), especially for leveraged products (Futures & Options)
• Implement internal risk thresholds before exchange-imposed limits
• Ensure strict compliance with SEBI, NSE, and BSE regulations, including:
  • Peak Margin Framework
  • Intraday Snapshot-Based Margin Checks
  • Utilization and Exposure Limits
• Collaborate with internal trading desks to pre-empt risk breaches, reduce exposure, and maintain required buffers
• Work closely with tech teams to define alerting logic and dashboards for real-time risk visibility
• Track and interpret regulatory updates, circulars, and RMS advisories; implement changes swiftly
• Design and evolve internal risk segmentation frameworks based on client AUM, trade frequency, and product type

Requirements

• 2–5 years of experience in risk management at a stockbroking firm, trading desk, or HFT platform
• Strong working knowledge of:
  • SEBI risk guidelines
  • NSE/BSE compliance requirements
  • RMS mechanisms (Peak Margin, RRM, Snapshot-based checks)
• Prior experience using risk tools such as N Prime, Fincorp, Omnesys, or similar
• Demonstrated ability to own and adapt RMS logic, not just execute existing rules
• Experience managing non-retail clients and high-frequency trading strategies
• Strong communication skills — especially in coordinating with trading, ops, and engineering teams under pressure

Preferred (Nice to Have)

• Experience with tick-level monitoring, automated risk triggers, or real-time dashboards
• Understanding of options trading behavior and its impact on exposure & margin
• Prior experience with capital allocation across internal trader pods