Risk Manager, Quantitative

Crypto.com; United Arab Emirates; On-site; AED 250,000 - 450,000; Full time

Job summary

Crypto.com is seeking a quantitative Risk Manager to join our global exchange team with a primary focus on margin pricing models and risk controls across multi-asset products. You will own margin methodology (SPAN, VaR, portfolio margining), backtest coverage, and the development of data pipelines in SQL and Python.

Daily risk monitoring, scenario analysis and regulatory-ready documentation are also part of the role.

Qualifications

• 5+ years of experience in quantitative research, risk management, trading, or a related field.
• Master or PhD in math, physics, statistics, engineering, or related field.
• Proficient in Python and SQL/noSQL data structures, data models, and database management.
• Strong understanding of derivatives pricing theory across traditional and digital asset classes.
• Deep understanding of Order Book Dynamics (L1-L3) and Cross/Portfolio-Margining methodologies.
• Direct trading experience and familiarity with margin concepts and liquidation mechanisms.

Responsibilities

• Own the design, calibration and validation of the margin pricing and liquidation frameworks that our FCM and clearing businesses run on.
• Take part in the daily risk monitoring, escalation and reporting that the whole team carries.
• Develop, implement and validate derivatives pricing models for new and existing products across asset classes.
• Backtest margin coverage and document model performance, assumptions and limitations for audits.
• Build and maintain data pipelines and automated reporting behind the risk models using SQL and Python.
• Monitor and analyze real-time and historical portfolio risk, including exposure, leverage and margin utilization.
• Design automated liquidation logic and algorithms to balance market risk with market impact.
• Perform scenario analysis and stress testing across market conditions.
• Provide risk input into product onboarding, listing reviews and regular risk parameter reviews.
• Analyze market microstructure on multi-asset derivative markets and calibrate models to evolving conditions.

Skills

Python

SQL

noSQL

derivatives pricing theory

Order Book Dynamics

Cross/Portfolio-Margining

broker-dealer / exchange operations

risk management

Education

Master's or PhD in quantitative discipline

Job description

The exchange team develops and maintains a cutting-edge trading platform. With a global presence across APAC, EMEA and North America, the team has since grown with the goal to provide a seamless and secure trading experience for our clients.

We are looking for a quantitative Risk Manager to join our global exchange team with a primary focus on the models.

Key Responsibilities

• Own the design, calibration and validation of the margin pricing and liquidation frameworks that our FCM and clearing businesses run on.
• Take part in the daily risk monitoring, escalation and reporting that the whole team carries.
• Contribute to the building of a fast-growth trading platform with innovative multi-asset products bridging traditional finance (TradFi) and digital markets.
• Own margin methodology across the group, including SPAN, VaR and portfolio-margining approaches, and benchmark our models against those used by the clearing houses and exchanges we face.
• Develop, implement and validate derivatives pricing models for new and existing products across various asset classes (e.g. equities, commodities, futures, perpetuals, options).
• Backtest margin coverage and document model performance, assumptions and limitations to a standard that withstands regulatory and audit review.
• Build and maintain the data pipelines and automated reporting behind the risk models, working in SQL, Python and relational databases.
• Monitor and analyze real-time and historical portfolio risk, including exposure, leverage, margin utilization, concentration and liquidation.
• Design optimal automated liquidation logic and algorithms to balance market risk with market impact during extreme volatility.
• Perform scenario analysis and stress testing across a range of market conditions.
• Provide risk input into product onboarding, listing reviews and regular risk parameter reviews (haircuts, margin levels, liquidation thresholds, index pricing, funding rates and position limits).
• Analyze market microstructure on multi-asset derivative markets and periodically review and calibrate risk models according to evolving market conditions.
• Support the build and maintenance of internal risk dashboards and analytical tools.
• Think critically and strive for continuous improvement.

Requirements

• 5+ years of relevant working experience in quantitative research, risk management, trading, or a related field. Exposure to daily risk operations is expected alongside the modelling work; regulator-facing experience is welcome but not required.
• Master or PhD in a quantitative discipline (e.g., math, physics, statistics, engineering, computer science, financial engineering, quantitative finance, etc.).
• Proficient in Python and SQL or noSQL data structures, data models, and database management.
• Strong understanding of derivatives pricing theory across traditional and digital asset classes.
• Deep understanding of Order Book Dynamics (L1-L3 data) and Cross/Portfolio-Margining methodologies (e.g., offsetting spot against futures).
• Deep knowledge of equities, commodity products, macro assets, and ongoing developments in these spaces; thoroughly familiar with futures, perpetuals, or other derivative types.
• Direct trading experience (personal or professional) is highly ideal, with a deep familiarity with margin concepts and liquidation mechanisms.
• Experience at a broker‑dealer, exchange, or clearing organization, with familiarity on how brokers and CCPs operate is a strong plus.