Software Development Engineer in Test

We're looking for a sharp, technically deep SDET to own quality across our trading systems — from order execution engines to real-time risk analytics. You'll work alongside quants, traders, and engineers to ensure our platform behaves correctly under normal conditions and at the edge cases that matter most in live markets. As AI becomes core to how we trade and operate, you'll also help us test and validate the models and pipelines that power it.  WHAT YOU WILL DO Develop end-to-end, integration, and unit test suites covering options pricing models (Black-Scholes, binomial trees), order lifecycle, and P&L calculations Test and validate AI/ML models used in signal generation, volatility forecasting, and trade execution — including drift detection, model regression, and output boundary testing Build evaluation harnesses for LLM-powered tools used internally (e.g., trade summarization, risk Q&A, alert triage) to assess accuracy, hallucination rates, and latency Simulate realistic market scenarios including high-volatility events, expiry dates, and corporate actions to stress-test system behavior Validate FIX protocol messaging, OMS/EMS integrations, and exchange connectivity (CBOE, ISE, etc.) Collaborate with quants to write test cases that verify Greeks (delta, gamma, vega, theta) and pricing accuracy under various market conditions Build performance and load testing harnesses to validate sub-millisecond latency requirements Design data quality pipelines to validate training data, feature stores, and model inputs for correctness and consistency Participate in code reviews and advocate for testability in system design Own CI/CD pipeline quality gates, including ML model promotion gates (shadow mode, A/B, champion/challenger) Investigate production incidents and translate findings into regression testsWHAT SPIDERROCK IS LOOKING FOR 4+ years of SDET or QA Engineering experience, with at least 2 years in financial services or trading systems Proficiency in Python and/or Java/C++ for test automation Strong understanding of options trading concepts — calls/puts, expiry, strike, Greeks, volatility surfaces Experience testing real-time, event-driven systems (Kafka, FIX, WebSockets) Hands-on with test frameworks: pytest, JUnit, TestNG, or equivalent Familiarity with ML concepts — model training, inference, overfitting, feature importance, and evaluation metrics (precision, recall, AUC) Experience testing ML pipelines end-to-end: data ingestion → feature engineering → model output → downstream consumption Solid fundamentals in data structures, algorithms, and distributed systems Familiarity with SQL and time-series databases (kdb+, InfluxDB, TimescaleDB) Experience with CI/CD tools (Jenkins, GitLab CI, GitHub Actions) Ability to read and reason about quantitative models and pricing logic Experience writing LLM evaluation frameworks — prompt regression testing, output scoring, and consistency checks across model versions Familiarity with MLflow, Weights & Biases, or SageMaker for model lifecycle tracking and test integration Knowledge of AI governance and model risk management frameworks (SR 11-7 or equivalent) relevant to financial institutions Experience with market simulators or exchange emulators Knowledge of regulatory requirements (FINRA, SEC, CFTC) and audit trail testing including AI-assisted decision logging Exposure to co-location or FPGA-based trading infrastructure Familiarity with chaos engineering and fault injection testing Prior experience with kdb+/q for tick data validation Contributions to open-source testing or ML evaluation tools WHAT TO EXPECT Learn while doingHighly competitive pay, benefits and bonus structureHealth insurance (medical, dental, vision)Voluntary ancillary plans (Life & AD&D, Short-Term Disability, Long-Term Disability, Critical Accident and Critical Illness)Discounted pet insurance401K plan and safe harbor employer matchEmployee assistance programCompany laptop and equipmentProgressive time off benefits (unlimited PTO, maternity leave, paternal leave)Integrative work environmentWellness programsZen Den for meditation, naps, nursing, or just to decompressWork with high-caliber and innovative professionalsAccess to unlimited snacks and beverages in our lounge areaState of the art office with spectacular views downtown Chicago and the Chicago RiverGym membership at our building fitness center on our floorDivvy bike accessA fun and collaborative environmentSpiderRock is an Equal Opportunity Employer