Swish Analytics

Full-stack Engineer

• Expand utilization and adoption of existing models and accelerate adoption of commonly used proprietary frameworks.
• Establish and refine KPI's and OKR's for scaling and accelerating the product offerings.
• Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.
• Proactively improve our Rust codebase
• Source origins of data inaccuracies through data pipeline dependencies and Python code base
• Use extensive experience to build, test, debug, and deploy production-grade components
• Keep up to date with new approaches to inferential statistics, sampling, and experimental design.
• Examine the integration and scaling of our real world operations, simulations, experiments, and demonstrations.
• Expert Python developer using many different machine learning and data science frameworks.
• Provide risk management guidance on methods for assessing and mitigating risk.
• Skill in developing or recommending analytic approaches or solutions to problems and situations for which information is incomplete or for which no precedent exists.
• Adhere to software engineering best practices and contribute to shared code repositories.

Product Engineer

Data Analyst

• Own and manage the full lifecycle of dashboards and reporting assets within Superset, including design, development, documentation, and user access
• Partner with stakeholders in Trading, Product, and Engineering to define and deliver KPIs, metrics, and data visualizations
• Build and maintain SQL-based datasets and derived tables to power reporting tools
• Develop and maintain analyses around trading performance, pricing accuracy, and KPI reporting
• Monitor the health and quality of data assets across pipelines and reporting layers
• Support internal users in interpreting data, self-serving insights, and building lightweight reporting artifacts
• Perform QA on datasets, validate dashboard accuracy, and respond to ad hoc analytical requests
• Identify opportunities for standardization, automation, and improved reporting workflows
• Monitor report usage and contribute to BI governance and best practices

Risk

• Own end-to-end research and production pipelines for a strategy
• Lead alpha research initiatives leveraging advanced statistical and machine learning techniques
• Process and analyze high-frequency tick data, order book snapshots, and market microstructure signals with sub-millisecond latency requirements
• Analyze price formation, market liquidity dynamics, and limit order book imbalances across electronic venues
• Build and run Monte Carlo simulations to estimate P&L distributions, risk exposures, and portfolio dynamics
• Develop, backtest, and optimize quantitative trading strategies with rigorous statistical validation
• Interpret complex model outputs and communicate alpha generation mechanisms to portfolio managers
• Write modular, clean, and efficient Python code; build custom analytics libraries and research frameworks
• Lead design reviews and establish data quality and research reproducibility standards
• Guide 1–2 junior researchers through project delivery and model development
• Proactively engage with traders and infrastructure teams to clarify research objectives and resolve data dependencies
• Design and maintain real-time risk monitoring systems across multi-asset portfolios
• Build models for dynamic position sizing, portfolio optimization, and factor exposure management
• Develop stress testing and scenario analysis frameworks for tail-risk events and regime changes
• Collaborate with Trading and Risk Management to define VaR limits, leverage constraints, and implement automated risk controls.

Senior Quantitative Researcher – Risk Modeling

People Operations

• Lead the onboarding and offboarding processes, ensuring a seamless and positive experience for all employees.
• Partner with the Talent Acquisition team to support the hiring process.
• Analyze HR metrics and prepare reports to support management decision-making regarding staffing, turnover, and cost analysis.
• Manage and execute the end-to-end payroll process for all US and international employees (including contractors) using our current payroll systems.
• Ensure accurate and timely processing of salaries, deductions, taxes, and statutory contributions, adhering to local, state, federal, and international regulations.
• Administer US benefit programs (health, dental, 401k) and coordinate with international PEOs/partners for global benefits management.
• Maintain meticulous employee records, ensuring data integrity and compliance across all HR systems.
• Serve as the primary internal resource for HR compliance, staying current on all relevant US labor laws (federal and state) and international employment legislation.
• Oversee the administration of all legally mandated employee training and reporting requirements.
• Update HR policies and employee handbooks for US and international offices, ensuring they are culturally relevant and legally compliant.
• Awareness and support mediating and resolving disputes, disagreements, and conflicts between employees, or between employees and management.
• Support fair, consistent, and legally compliant application of the company's disciplinary procedures, up to and including termination.
• Support the process for employees to raise concerns, complaints, or grievances and ensure they are thoroughly investigated and addressed.
• Serve as the expert resource for managers and employees regarding the company handbook, policies, and procedures (e.g., code of conduct, anti-harassment, PTO, etc.).

Product Engineer

Data Analyst

Senior Quantitative Researcher – Risk Modeling

Senior People Operations Specialist