What you’ll do

📍Risk Evaluation & Control Testing 📍Conduct in-depth risk assessments across operational and technical domains, identifying vulnerabilities and evaluating control effectiveness. 📍Design and test manual and automated controls, especially where risks are time-sensitive or data-driven. 📍Build scripts and workflows in Python or SQL to simulate control logic and test outcomes under various scenarios. 📍Automated Risk Monitoring 📍Build and maintain robust automated control mechanisms to continuously monitor brokerage risks, reduce reliance on manual reviews, and strengthen operational resilience. 📍Develop early-warning systems and exception alerting logic tied to key risk indicators (KRIs), breach thresholds, or anomalies in real-time data feeds. 📍Collaborate with engineering teams to deploy scripts, scheduled jobs, or event-based triggers that detect control failures or irregular patterns across systems. 📍Build resilient pipelines that feed risk dashboards with real-time or batch data for effective surveillance of trading activity, reconciliation breaks, and control health. 📍Regularly tune and optimize monitoring parameters using historical data and trend analysis to reduce false positives and improve signal quality. 📍Dashboards & Risk Reporting 📍Design and maintain dashboards using Supersets, Looker or other tools to visualize risk metrics, control test results, and emerging trends. 📍Transform raw risk data into intuitive, actionable reporting views for technical and non-technical audiences.

What you bring

📍Technical & Analytical Proficiency: Advanced skills in Python, SQL, and data analytics frameworks, with experience building control automation scripts, ETL pipelines, and scalable risk tooling from the ground up. 📍Broker Dealer Expertise: Solid understanding of broker-dealer operations, financial products, and regulatory requirements (e.g., FINRA, SEC, CFTC), paired with practical experience in quantitative risk modeling, control frameworks, and trading risk metrics. 📍Data Storytelling & Precision: Proven ability to develop intuitive dashboards and alerting systems (e.g., Looker, Tableau), with a detail-oriented approach to identifying anomalies, interpreting complex data, and driving risk-informed decisions.

The future of finance is here — whether you’re interested in blockchain, cryptocurrency, or remote web3 jobs, there’s a perfect role waiting for you.