Job Overview:
MainNet is seeking a strategic and driven Asset Risk Control Specialist to lead risk management initiatives for treasury bills, traditional funds, and other securities with a strong focus on data analytics, algorithm development, and coding capabilities. This role requires expertise in securities, experience with quantitative analysis, and the ability to develop and implement risk algorithms.
The ideal candidate will work closely with cross-functional teams to build and execute data-driven risk strategies, ensuring compliance and promoting stability across Mainnet's product portfolio.
Key Responsibilities:
- Design and implement risk management frameworks focused on T-Bills, traditional fund products, and other securities, using advanced data analysis and algorithmic models to quantify risk.
- Develop custom risk algorithms and quantitative models in collaboration with data science and engineering teams to enhance risk forecasting and scenario analysis.
- Conduct market risk assessments for securities, with special attention to interest rate fluctuations, credit risk, and liquidity analysis for T-Bills and funds.
- Utilize coding and data analytics tools (e.g., Python, R, SQL) to automate risk reporting and build dashboards for real-time risk monitoring and insights.
- Collaborate with compliance and investment teams to align risk models with regulatory requirements and internal guidelines for securities.
- Perform back testing and validation of risk models to ensure their accuracy and effectiveness in forecasting risk for diverse investment products.
- Lead scenario analysis and stress testing across T-Bill and securities portfolios to evaluate resilience under adverse market conditions.
- Work with IT teams to assess and mitigate potential technology-related risks within the algorithmic trading and risk management processes.
- Build automated and robust processes for financial risk monitoring and reporting, and associated analytics
- Stay updated on advancements in fintech and machine learning to continuously improve Mainnet Digital's risk analysis and management tools.
- Train internal stakeholders on the technical and regulatory aspects of risk management, promoting a data-driven approach to risk awareness across the organization.
Job Requirements
- Bachelor's degree in Finance, Quantitative Finance, Computer Science, or a related field advanced certifications (e.g., FRM, CFA) or a Master's degree is preferred.
- 5+ years of experience in risk management, with expertise in T-Bills, traditional funds, and securities, and a strong background in data analysis and algorithm development.
- In-depth knowledge of securities, and regulatory requirements within financial services.
- Proven experience in developing and implementing quantitative models for market, credit, and operational risk.
- Strong analytical skills, with the ability to interpret complex data sets and draw actionable insights for risk mitigation.
- Excellent communication and interpersonal skills, capable of working collaboratively with cross-functional teams and presenting technical findings to non-technical stakeholders.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
Preferred Qualifications:
- Experience in fintech, digital currency, or blockchain industries.
- Familiarity with SQL, Python, or other data analytics and reporting tools.
Why Join MainNet Digital
As a Asset Risk Control Specialist you'll be at the forefront of innovation in risk management at Mainnet . This role provides a unique opportunity to apply technical skills and quantitative analysis to mitigate risk and drive strategic value in a cutting-edge fintech environment.
If you're ready to make an impact and help shape the future of MainNet, we encourage you to apply!
Please send your CV to
