Hiring: AVP of Financial & Emerging Risk Management, Stress Testing and AI Automation Company: Tidal Financial Group Location: Chicago, IL Job Posted Time: 2026-09-12 12:29:03 Employment Type: Remote Target Skills & Keywords : Deep Learning, Derivatives, LLM, Risk Management, Systems Design About the job Experience: •5+ years of relevant experience in risk management and/or related quantitative discipline within asset/investment management, ETF platforms, or broader financial services preferred. Required Skills: •Reporting directly to the VP of Risk Management, the candidate fortunate to earn our exceptional AVP 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. •Financial Risk Management: Build and manage a Financial Risk Management program that includes counterparty & credit, market, and liquidity risk identification, assessment, controls and risk appetite limits at the enterprise and across all funds. •Derivatives Risk Management Program (DRMP) – Tidal’s DRMP satisfies SEC Rule 18f-4 and is one of the largest DRMPs in the country. 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. •Liquidity Risk Management Program (LRMP) – Manage Tidal’s LRMP that satisfies SEC Rule 22e-4 including ensuring defensible liquidity classification of fund investments including satisfaction of illiquid investment limits and optimizing processes and reporting using automation, AI and quantitative modeling. •Emerging Risk Management: Build and manage an Emerging Risk Management program that identifies, assesses and monitors emerging risks facing Tidal to drive prudent discussions and decisions on paths to potentially mitigate their impact. •Stress Testing: Build and manage a Stress Testing Program with stress scenarios designed based on material risks, control weaknesses & issues/incidents to stress risks & related risk appetite. Utilize stress scenarios to understand impact on capital, liquidity, operations & ETFs ability to satisfy regulatory limits. •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 highly efficient data-driven risk insights and forward-looking predictive analytics & forecasts to drive proactive risk-informed decisions. •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. Qualifications: •Bachelor’s degree in Data Science, Econometrics, Advanced Mathematics, Financial Engineering, Computer Science or related technical degrees. •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. •Demonstrated capacity to thrive in a fast-paced, high-growth, entrepreneurial environment, balancing structure with adaptability. •Strong interpersonal skills and ability to influence stakeholders. •95,000 - 140,000 USD per year(Remote) Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!