Swish Analytics

Title: Trading Analyst Location: Remote, United States Job Description: Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients. Job Description - This position is 100% Remote Duties: - Manage client risk, ensuring the highest margins on Swish products through +EV decisions - Manage and oversee depth chart accuracy, making time-sensitive adjustments in both prematch & in-play settings - Strategically research & track verified news sources, being the first to uncover important news and understand the overall impact on betting markets - Independently analyze betting trends in a scientific process, turning data into quantifiable trading actions Requirements: - Minimum of 3 years of in-play experience at a sportsbook - Deep understanding of sports betting and odds origination - Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football - Strong mathematical, statistical, and/or analytical skills – ability to understand and calculate + convert odds on the fly - Results driven work ethic – focused on improving process, results and profitability - Availability to work flexible schedules, including nights, weekends and/or holidays Preferred: - Bachelor’s Degree in a STEM discipline - An understanding of relational database systems (MySQL) - Experience working with cross functional teams (Data Science teams a plus) Salary: $70,000 - DOE Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law.

• Serve as a key point of contact for B2B clients, managing inbound inquiries via Slack, email, and video calls • Develop deep expertise in Swish’s products, data, and workflows to effectively support client needs • Troubleshoot client issues in real time, translating technical concepts into clear, actionable guidance • Proactively identify client pain points, usage gaps, and opportunities to improve retention and satisfaction • Monitor client performance and engagement, ensuring successful onboarding and ongoing adoption

Title: Senior Data Platform Engineer Location: San Francisco, United States - Remote, United States This is a remote position. Job Description: In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen. Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients. Role Overview The Swish Analytics team is seeking a Senior Data Platform Engineer to have a direct impact on the data infrastructure of our core consumer and enterprise data offerings. We’re a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position. Seniority: Solid Senior level (5-8 years experience) Core Responsibilities: - Proficiency in Python: Expertise in writing scalable, efficient, and testable code using Python for data processing, automation, and building back-end components. Familiarity with popular Python libraries is a plus. - Cloud Platforms: Proficiency in cloud services such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, including knowledge of their specific data tools (e.g., Redshift, S3, Azure Data Factory, BigQuery). - 24/7 monitoring, alerting, and incident response of enterprise database architecture. - Developing KPI's, SLA’s, SLO’s and strategy to achieve and improve database stability - Backup/recovery testing and disaster recovery planning - Developing performance testing strategy, - Query performance analysis and optimization. - Implement and maintain RDS Proxy and connection management strategies - Manage database environments from production, data streams, to "Big Data" analytics. - Create and maintain policy runbooks and documentation for company use. - Database security, access control, and compliance - Working with MySQL/Postgres, Redshift, Kafka, Athena, Redis/Valkey, S3 and similar - Own schema migration tooling and process development Skills Guide: - Operational Excellence: Monitoring (CloudWatch, Performance Insights, Datadog), alerting, on-call experience - MySQL Operations: Deep knowledge of RDS operational functions, performance tuning (indexes, query optimization, explain plans) Backup/restore, point-in-time recovery, replication troubleshooting - SQL Mastery: Proficiently writing and understanding complex SQL queries, including joins, subqueries, aggregations, and window functions. - Database Design Principles: Knowledge of normalization, denormalization, and how table structure impacts query performance. - Indexing: Understanding different index types (B-tree, hash, clustered, non-clustered) and their appropriate use for optimizing search and retrieval. - Automation: Software development for operational tasks - AWS: RDS operations, Authentication, Authorization - Incident Management: Root cause analysis, postmortem creation, Run book development Nice to Have: - Performance testing tools (sysbench, HammerDB) - Execution Plan Analysis: Ability to read and interpret query execution plans to identify bottlenecks, such as full table scans, inefficient joins, or missing indexes. - Identifying Resource Bottlenecks: Pinpointing where queries are consuming excessive CPU, I/O, connections, or memory. Base salary: Starting at $180,000+ - DOE Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.

Title: Data Engineer Location: United Kingdom United Kingdom · Remote Engineering · Database Marketing/Analytics/Business Intelligence · Product Engineering £70,000 - £100,000 / year Job Description: Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients. Job Description The Swish Analytics team is seeking Data Engineers based in Europe to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our coverage of non-US sports. We’re a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position. Duties - Support production systems and help triage issues during live sporting events - Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production - Build new sports betting data products and predictions offerings - Integrate large and complex real-time datasets into new consumer and enterprise products - Develop production-level predictive analytics into enterprise-grade APIs - Contribute to the design and implementation of new, fully-automated sports data delivery frameworks Requirements - BS/BA degree in Mathematics, Computer Science, or related STEM field - Minimum of 2+ years of demonstrated experience writing production level code (Python) - Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow - Demonstrated experience with Kubernetes - Experience building end-to-end ETL pipelines - Experience utilizing REST APIs - Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS) - Experience with web scraping and cleaning unstructured data - Knowledge of data science and machine learning concepts - A strong interest for sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College Basketball, and the ability use your knowledge of the sport to inform your work with complex datasets Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.

Title: Trading Analyst Swish Analytics - Manager United Kingdom · Remote Casino Odds Compiler · Casino Bookmaker · Casino Trader £50,000 - £60,000 / year Job Description: In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen. Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients. Job Description - This position is 100% Remote from Malta, Spain, or UK Duties: - Manage client risk, ensuring the highest margins on Swish products through +EV decisions - Manage and oversee depth chart accuracy, making time-sensitive adjustments in both prematch & in-play settings - Strategically research & track verified news sources, being the first to uncover important news and understand the overall impact on betting markets - Independently analyze betting trends in a scientific process, turning data into quantifiable trading actions Requirements: - Minimum of 3 years of in-game play experience at an online sportsbook - Deep understanding of sports betting and odds origination - Passion and intimate knowledge of tennis and soccer - Strong mathematical, statistical, and/or analytical skills – ability to understand and calculate + convert odds on the fly - Results driven work ethic – focused on improving process, results and profitability - Availability to work flexible schedules, including nights, weekends and/or holidays Preferred: - Bachelor’s Degree in a STEM discipline - An understanding of relational database systems (MySQL) - Experience working with cross functional teams (Data Science teams a plus) Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.

• Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity issues • Detect data inaccuracies such as missing, out of range or otherwise incorrect on-field data • Source origins of data inaccuracies through data pipeline dependencies and python code base • Define data validation tests to flag future game errors • Research accurate roster active statuses, primary positions and game participation • Validate data changes after logic updates • Production model feature deep dives to explain project market lines • Clearly document findings • Develop intimate familiarity with existing databases and construct metadata references • With guidance, support lead Data Scientists in feature development and model analysis

• Use your experience to develop, maintain and implement Kubernetes clusters at scale that are ready for heterogeneous and elastic workloads • Work closely with Data Science and Data Engineering teams to implement, optimize and scale systems on Kubernetes using CI/CD, automation tools and scripting languages • Help Data Science and Data Engineering develop and implement specialized infrastructure to deliver tools, software, and platforms that improve the reliability and scalability of capabilities • Pioneer, implement, and encourage best practices for software deployment and code management through automation and education • Monitor the system and respond to incidents to maintain system SLO/SLA, review and follow up production incidents • Provide on call work as needed

• Be the technical lead and owner for key products of our core backend applications. • Perform code reviews and provide constructive feedback. • Find optimizations in current applications, implement best practices, and ensure adherence to coding standards. • Design and enhance both new and existing services. • Work with globally distributed data. • Participate in discussions and create and review architectural diagrams. • Have a deep understanding of high-traffic, client-facing APIs and networking topology.

• Bring your innovation and experience in designing and developing the next-generation data analytics platform using cutting-edge technologies. • Standardize processes for the complete development cycle including design, implementation, unit testing, code review, testing automation, etc. • Research and adopt the right technologies to improve the scalability and productivity of the trading analytics group. • Work closely with key stakeholders and product owners to drive technical design for requirements of various use cases. • Coordinate with departments (Data, DevOps, Product, Finance, Customer Success, etc.) to ensure a smooth cycle from development to deployment.

• Proficiency in Python for data processing and automation • Expertise in cloud platforms and their specific data tools • 24/7 monitoring and incident response of databases • Developing KPI's, SLA’s, SLO’s • Backup/recovery testing • Developing performance tests and query optimizations • Implementing and maintaining database management strategies • Creating documentation for company use • Ensuring database security and compliance