Top Tech Jobs & Startup Jobs

Design and implement quantitative risk models and real-time monitoring for perpetuals and commodity derivatives. Build stress testing, default and guarantee-fund frameworks, translate model outputs into exchange policy (margin, liquidation, limits), and ensure CFTC reporting and capital compliance. Partner with engineers to deploy production-quality risk systems and prioritize risk architecture improvements as trading and exposure evolve.

Partner with product teams to define success metrics, design and analyze A/B tests, build funnel and behavioral analyses, own event tracking specs, and translate results into product recommendations and documentation.

Own analytics for institutional counterparties, build account-level metrics (volume, flow composition, spread capture, fee/rebate economics), monitor counterparty health and concentration risk, quantify institutional impact on market quality, support negotiations with data-driven valuations, and operationalize recurring reporting with analytics engineers.

Own and build dbt models that convert raw on-chain/off-chain trading and third-party data into trusted datasets and core metrics. Partner with data engineers on warehouse performance and cost, create self-serve BI in Vercel and Hex, implement model tests and monitoring, model new products, and write thorough end-to-end documentation.

Own full-funnel growth analytics for a vertical (paid acquisition through repeat engagement). Advise marketing on spend efficiency and channel mix, size/prioritize opportunities, design and analyze experiments, build cohort/funnel/retention analyses, productionize recurring analyses with analytics engineers, and document end-to-end work for team use.

Lead investigations into fraud and abuse (multi-accounting, wash trading, collusion), build detection logic combining on-chain, device, and behavioral signals, convert investigations into monitoring and alerts, quantify financial exposure, partner on product controls and compliance, and productionize detection with analytics engineers.

Lead and grow an embedded analytics organization across growth, product, markets, finance, risk, and institutional. Define analytics strategy and standards, partner with business leaders to prioritize work, ensure consistent metrics and rigor, produce company-level reporting, and develop analysts into senior contributors and future leaders.

Build and own the finance reporting layer in the data warehouse, reconcile ledger and platform transactions, produce production-ready financial reports, analyze fee and promotion impacts on revenue and retention, support monthly close and forecasts, and document models and reports end-to-end.

Own strategy and execution for an assigned lifecycle stage: design journeys, messaging, and cadences across email/push/SMS; run structured experiments; partner with data and martech to instrument and measure flows; direct shared execution resources; analyze lifecycle impact on retention, reactivation revenue, and LTV; build scalable playbooks.

Own and scale the full employee lifecycle and culture programs: onboarding, offboarding, engagement surveys, events, recognition, manager development, vendor and budget management, and the internship program. Design repeatable processes, run surveys and listening tours, build manager-facing tools, and report program impact to leadership.