Related skills
r sql python fraud quantitative modeling📋 Description
- Design and oversee risk framework for market manipulation and fraud controls.
- Lead incident research and reporting on suspicious trading with Compliance and Legal.
- Conduct proactive analysis of new products to model manipulation vectors.
- Develop quantitative models to estimate loss impact and probability.
- Drive regulatory alignment and risk reporting to senior management.
- Provide training and guidance on emerging manipulation techniques.
🎯 Requirements
- 5-9 years in market risk or market surveillance at crypto/finance.
- Proven experience in market manipulation detection and fraud prevention.
- Direct crypto/digital asset markets experience preferred.
- SQL mastery; Python or R for analysis and modeling.
- Strong product knowledge of perpetual swaps, futures, options, and spot.
- Bachelor's or Master's in quantitative field; FRM/CFA a plus.
🎁 Benefits
- Competitive total compensation package.
- L&D programs and education subsidy for growth.
- Various team building programs and company events.
- Wellness and meal allowances.
- Comprehensive healthcare schemes for employees and dependants.
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