Swish Analytics

• Ideate, develop and improve machine learning and statistical models that drive Swish’s core algorithms for producing state-of-the-art sports betting products. • Develop contextualized feature sets using specific domain knowledge in soccer. • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models. • Strive to constantly improve model performance using insights from rigorous offline and online experimentation. • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts. • Adhere to software engineering best practices and contribute to shared code repositories. • Document modeling work and present to stakeholders and other technical and non-technical partners.

Role Description Swish Analytics is looking for a Soccer Data Scientist to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA. - Ideate, develop and improve machine learning and statistical models that drive Swish’s core algorithms for producing state-of-the-art sports betting products. - Develop contextualized feature sets using sports specific domain knowledge. - Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models. - Strive to constantly improve model performance using insights from rigorous offline and online experimentation. - Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts. - Adhere to software engineering best practices and contribute to shared code repositories. - Document modeling work and present to stakeholders and other technical and non-technical partners. Qualifications - Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area. - Demonstrated experience developing models at production scale for Soccer, or sports betting for 2+ years. - Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods. - 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting. - Experience with relational SQL & Python. - Experience with source control tools such as GitHub and related CI/CD processes. - Experience working in AWS environments. - Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions. - Excellent communication skills to both technical and non-technical audiences. Requirements - Base Salary: Starting at $130,000. Company 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.

Title: Trading Analyst Location: London, Europe - Remote, United Kingdom 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 OverviewSwish 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-game play experience at an online 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) 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.

• Cross-functional program leadership • The operating system for delivery • Delivery coordination and predictability • Delivery maturity across the org • Team leadership

• 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. • 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. • 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. • 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.

• 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

• Cross-functional program leadership - Direct ownership of the programs that span Trading, Engineering, Data Science, and Data Engineering. You are the single accountable owner for delivery across team boundaries on these programs, including dependencies, sequencing, risk, and the tradeoff decisions when priorities collide. • The operating system for delivery - Own and evolve the frameworks that let the company plan and execute coherently — intake, prioritization, change management, project lifecycle, definition of done, and release cadence. • Delivery coordination and predictability - Establish the cadence, instrumentation, and reporting that make work visible from company strategy down to individual execution. • Delivery maturity across the org - Teams across Swish operate at different levels of delivery discipline. You will set the bar, point to what already works well internally, and partner with department heads to raise the standard everywhere — through influence and demonstrated value rather than mandate. • Team leadership - Lead, develop, and grow the PMO.

• Ideate, develop and improve machine learning and statistical models that drive Swish’s core algorithms for producing state-of-the-art sports betting products. • Develop contextualized feature sets using sports specific domain knowledge. • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models. • Strive to constantly improve model performance using insights from rigorous offline and online experimentation. • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts. • Adhere to software engineering best practices and contribute to shared code repositories. • Document modeling work and present to stakeholders and other technical and non-technical partners.

Title: Trading Analyst Location: San Francisco, United States - Remote, United States 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 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: $80,000 - 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.

• 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