Trading Analytics Manager Data Scientist at Swish Analytics

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 enterprise clients. This position is 100% Remote
Swish Analytics is looking for a hands-on Trading Analytics Manager 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.
Duties:

Work with a team of data professionals to execute on the following deliverables:

Apply statistics and data modeling to gain actionable business insights for Trading and Data Science Teams.
Own the end-to-end data pipeline that will be used for extracting, managing, and analyzing customer data from multiple sources.
Develop algorithms to provide automated trading suggestions that maximize margin and minimize risk.
Communicate and track key performance metrics across Trading and Data Science.
Manage cross-functional efforts, review their performance, and manage schedules.
Mentor others on the team while owning independent deliverables.
Develop and generate reports of findings and present these to senior management.


Requirements:

Prior Data Science or Data Analytics experience in sports betting, sports analytics, pro sports, or similar environment

Master’s Degree/PhD in Statistics, Mathematics, Computer Science or related STEM Field
5+ years of financial risk management modeling (sports betting, hedge fund management, options trading, securities trading, etc)
Advanced level skills in Python to ingest, clean, model and visualize data
Understanding of the sports betting marketplace or experience analyzing sports data
Proven ability to train/mentor team members in utilizing best practices for software development as well as data science implementations
Experience using visualization tools (plotly, Tableau, etc)
Experience using Git (or other version control systems) in a collaborative environment with other developers
Experience in developing or helping design (in collaboration with data engineers) ETL processes that are used to generate cleaned and processed data as input for data science modeling or analysis
Writing complex SQL queries to efficiently retrieve data from relational databases (e.g. MySQL, Postgres)

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.