Risk Management and Corporate Governance Associate

About the role

The Tidal Financial Group is a leading ETF investment technology platform dedicated to creating, operating, and growing ETFs. We combine expertise and innovative partnership approaches to offer comprehensive, value-generating ETF solutions.    Our platform offers best-in-class strategic guidance, product planning, trust and fund services, legal support, operations support, marketing and research, and sales and distribution services. 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: T he 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.