Risk Control Specialist (Derivatives)

BNB Chain; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

BNB Chain is seeking a proactive Risk Control Specialist to design, enhance, and oversee market risk frameworks for futures and derivatives, and to partner with trading desks to optimize risk-adjusted returns.

You will perform scenario analyses, stress testing, monitor markets, and apply machine learning techniques to improve risk monitoring. Strong quantitative skills and Python experience are required for this role.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field.
• Strong quantitative and analytical skills with data and models.
• Proficiency in Python, pandas, and NumPy for analysis.
• Hands-on experience with VaR, CVaR, margining, and derivatives.
• Excellent communication and independent problem solving.

Responsibilities

• Design and continuously improve risk frameworks, methodologies, and limits for futures and derivatives products.
• Independently challenge risk concentrations, trade sizing, and transaction structures.
• Partner with trading teams to enable efficient capital allocation and risk-return decisions.
• Assess new, large, or complex trades while building deep product and risk expertise.
• Monitor global markets and macroeconomic developments, escalating key risks promptly.
• Conduct scenario analyses, stress tests, and risk deep-dives, and communicate findings clearly.
• Analyze aggregated portfolio exposures and tail risks to support informed decision-making.
• Maintain ongoing communication with traders regarding risk appetite, limits, and exposures.
• Explore and apply machine learning and AI techniques to enhance risk monitoring and predictive analytics.

Skills

Quantitative analysis

Risk modelling

Data interpretation

Communication skills

Education

Bachelor’s or Master’s in Mathematics/Statistics/CS

Tools

Python

pandas

NumPy

Job description

We are looking for a proactive and analytically strong Risk Control Specialist to join our team. You will design, enhance, and oversee market risk frameworks and limits, critically assess trading risk profiles, and partner with trading desks to optimize risk-return decisions. Your role will involve scenario analysis, stress testing, and providing actionable risk insights to support complex trading activities.

Key Responsibilities

• Design and continuously improve risk frameworks, methodologies, and limits for futures and derivatives products.
• Independently challenge risk concentrations, trade sizing, and transaction structures.
• Partner with trading teams to enable efficient capital allocation and risk-return decisions aligned with the company’s risk appetite.
• Assess new, large, or complex trades while building deep product and risk expertise.
• Monitor global markets and macroeconomic developments, escalating key risks promptly.
• Conduct scenario analyses, stress tests, and risk deep‑dives, and communicate findings clearly.
• Analyze aggregated portfolio exposures and tail risks to support informed decision‑making.
• Maintain ongoing communication with traders regarding risk appetite, limits, and exposures.
• Explore and apply machine learning and AI techniques to enhance risk monitoring and predictive analytics.

Requirements

• Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, or another related quantitative field.
• Strong quantitative and analytical skills, with the ability to work with complex data, models, and problem‑solving tasks.
• Proficiency in data analysis tools and libraries such as Python, pandas, and NumPy.
• Hands‑on experience with risk concepts including VaR, CVaR, margining, liquidation, and derivatives.
• Proven ability to think critically, take ownership, and deliver results independently.
• Excellent communication skills, with the ability to explain complex ideas clearly and concisely.
• An innovative mindset, with experience challenging existing approaches and driving improvements.
• Mandarin proficiency is preferred for collaboration with stakeholders in Mandarin‑speaking regions.