Risk Management and Corporate Governance Associate

Tidal Financial Group

  • Chicago, Illinois
  • 30+ days ago

    Highlights

    The Associate will include the following: Risk Intelligence, Derivative Risk Management Program (DRMP), Liquidity Risk Management Program (LRMP), Risk & Controls Self-Assessment (RCSA), Emerging Risks, Stress Testing, Risk Appetite, Third Party Risk Management, Issues Management, Policy Management & Corporate Governance. Reporting directly to the VP of Risk Management, the candidate fortunate to earn our exceptional Risk Management Associate career opportunity will bring a passionate, entrepreneurial & disciplined mindset towards ensuring we maximize our Program’s contribution and value to Tidal’s continued growth and operational complexity. .

    Numbers & Facts

    LocationChicago, Illinois

    Description

    About the role

    Tidal’s Risk Management & Corporate Governance Associate is a dynamic multi-disciplinary role that will be a valued contributor in delivering and managing our AI-driven Program target state.  The Associate will leverage their technical capabilities to use automation, AI and modeling to support our target state mission, which will deliver a fully integrated Program that maximizes the efficiency and value of its processes and reporting.   

    The core components of our Program:

    The Associate will include the following: Risk Intelligence, Derivative Risk Management Program (DRMP), Liquidity Risk Management Program (LRMP), Risk & Controls Self-Assessment (RCSA), Emerging Risks, Stress Testing, Risk Appetite, Third Party Risk Management, Issues Management, Policy Management & Corporate Governance.  

    Reporting directly to the VP of Risk Management, the candidate fortunate to earn our exceptional Risk Management Associate career opportunity will bring a passionate, entrepreneurial & disciplined mindset towards ensuring we maximize our Program’s contribution and value to Tidal’s continued growth and operational complexity. 

    What you'll do:

    • Integrated Central System – Design and implement our Program’s integrated central system that will store, review, update and link our risks, controls, risk appetite limits, issues, counterparties, third-party vendors & policies/governing documents.
    • Risk Intelligence - Design and implement Tidal’s Risk Intelligence data and reporting using automation, AI (ex. LLM, machine/deep learning), quantitative modeling, and visualization tools to deliver data-driven risk insights and forward-looking predictive analytics & forecasts to drive proactive risk-informed decisions.   
    • Derivatives Risk Management Program (DRMP) – Tidal’s DRMP satisfies SEC Rule 18f-4 and is one of the largest DRMPs in the country with ~200 covered funds.  Earn an opportunity to become a designated 18f-4 Derivative Risk Manager (DRM) by optimizing our Value-at-Risk (“VaR”), Stress Testing and Backtesting data and reporting using automation, AI and quantitative modeling.
    • Risk & Control Self-Assessment (RCSA)  Build a comprehensive risk and controls inventory for all financial (ex. Market, Counterparty) and non-financial (ex. Ops, Compliance) risks across the Enterprise.  Automate RCSA reporting and assessment updates by integrating with other key systems/reporting.  Utilize AI and quantitative modeling to deliver defensible risk & control assessments.   
    • Risk Appetite – Build a comprehensive risk appetite limit/metric and breach inventory across risks that is directly linked to our RCSA inventory. Automate risk appetite reporting and limit/metric and breach updates by integrating with other key systems/reporting.  Utilize AI and quantitative modeling to set limits/metrics and develop early warning indicators.
    • Cross-Functional Leadership - Be a trusted partner across Tidal’s growth-oriented, entrepreneurial culture by providing balanced challenge, thoughtful insights, and practical recommendations.  

    Qualifications

    • Bachelor’s degree in Data Science, Econometrics, Advanced Mathematics, Financial Engineering, Computer Science or related technical degrees.
    • 1-5+ years of relevant experience in risk management within asset/investment management, ETF platforms, or broader financial services preferred. 
    • Demonstrated knowledge and experience using AI (LLM, machine/deep learning) and building quantitative models to deliver forward-looking predictive analytics and forecasts.  
    • Demonstrated knowledge and experience in building and using automation and data visualization tools to streamline complex processes and build reporting including dashboards with insightful and actionable information.  
    • Practical understanding of enterprise risk & governance frameworks including risk identification & assessment, controls, risk appetite limits and stress testing preferred.  
    • Practical understanding of trading, ETFs, derivatives risk, including options, swaps, futures, structured instruments, margining, collateral, and liquidity risk preferred. 
    • Exceptional written and verbal communication skills, with ability to translate complex issues into clear and actionable decisions. 
    • Ability to thrive in a fast-paced, high-growth, entrepreneurial environment, balancing structure with adaptability.  
    • Strong interpersonal skills and ability to influence stakeholders. 

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