BetMGM

• Responsible for delivery of actionable insights and analysis in response to key business questions • Support the key Brand and Marketing teams, providing day-to-day reporting and analytics • Analyze data from both internal and external sources to support business objectives • Provide campaign analysis and enable data driven marketing decisions across the marketing teams • Handle both day-to-day reactive operational requirements and larger complex projects while being able to meet deadlines • Build and maintain datasets, reports and dashboards

• Own the path from raw transactional and event data to trustworthy, well-modeled datasets powering BetMGM's analytics, ML, and operational systems. • Design, build, and operate batch, micro-batch, and streaming pipelines feeding Snowflake — Prefect-orchestrated flows on ECS Fargate, dbt for transformation, Snowpipe Streaming and Kafka for event ingestion. • Own the full dbt lifecycle (sources → staging → intermediate → marts) with model contracts, freshness SLAs, automated tests, and version-controlled documentation. • Stand up Snowflake objects (warehouses, RBAC, resource monitors, Dynamic Tables, Iceberg tables) through Terraform — no ClickOps in production. • Build AWS-native infrastructure for data workloads — S3, ECS Fargate, Lambda, EMR Serverless, Glue Catalog, IAM, Secrets Manager, VPC endpoints — entirely in Terraform. • Maintain CI/CD pipelines (GitLab CI or GitHub Actions) that gate every change with linting, dbt build, unit tests, contract checks, and AI-assisted code review. • Tune warehouse sizing, clustering, and query patterns for cost and latency; instrument credit usage via ACCOUNT_USAGE; right-size before scaling up. • Design RBAC, masking policies, and row-access policies that satisfy a regulated operator without becoming an access bottleneck. • Own freshness SLAs and data contracts for the gold layer; configure Monte Carlo coverage for volume, freshness, schema, and distribution; triage incidents end-to-end. • Collaborate with analytics engineers, data scientists, and ML platform engineers on shared standards (naming, testing, observability, lineage, cost attribution).

• Stand up and operate BetMGM's ML platform on AWS (SageMaker Training, Model Registry, Pipelines, Endpoints, Batch Transform) and Snowflake (Snowpark ML, Cortex), with Terraform-managed infrastructure. • Build self-service scaffolds that let data scientists ship a model end-to-end without a ticket queue — cookie-cutter project templates with CI, drift monitoring, alerting, IaC, and Snowflake connectivity pre-baked. • Design and operate batch scoring pipelines — SageMaker Batch Transform, dbt-orchestrated scoring against Snowflake, Snowpark ML — with explicit freshness and cost SLAs. • Design and operate real-time inference paths — SageMaker real-time endpoints, Lambda + Bedrock for GenAI, API Gateway — with stated latency budgets (typically sub-100ms) and graceful degradation under load. • Own the feature store (SageMaker Feature Store, Tecton, or Feast) with guaranteed online/offline parity — training-serving skew is treated as an incident, not a tradeoff. • Build CI/CD for ML — model registry, automated retraining triggers, model versioning, lineage from feature → training run → deployed model → live prediction. • Implement champion/challenger, shadow deployments, and canary releases as platform primitives so individual model teams do not reinvent them per project. • Stand up drift detection, data quality, and model performance monitoring (Evidently, Arize, or SageMaker Model Monitor — pick one and standardize) with paging that routes to humans who can fix it. • Own MLOps incident response — production model failures are SEV events with postmortems. • Right-size endpoints, batch caching, request batching, and autoscaling. State cost-per-prediction targets up front and meet them. • Integrate LLM APIs (Bedrock, Anthropic, OpenAI) into production paths — RAG pipelines, agent eval frameworks, prompt versioning, cost and latency observability.

• Monitor player gameplay activity, deposits and withdrawals to identify suspicious or potentially fraudulent emerging patterns and recommend fraud prevention strategies. • Utilize various data sources to design, test and implement effective fraud prevention rules. • Assist in tuning existing fraud detection rules and thresholds to reduce false positives while improving detection rates. • Conduct root cause analysis on fraud trends and recommend preventative measures and process enhancements. • Support the ongoing optimization of chargeback prevention and representment processes. • Collaborate closely with the Operations teams to resolve emerging fraud rings and enforce account actions (i.e., suspension, closure, etc.). • Analyze betting patterns to detect irregular gameplay, arbitrage betting and coordinated activity between accounts. • Design and build effective dashboards to support the monitoring of key fraud KPIs.

• Responsible for leading the development and delivery of actionable insights and analysis in response to key business questions across bonus, VIP, trading, promotions, etc. • Efficiently manage and deliver multiple short- and long-term projects at pace • Lead the analytics strategy within the Sports Analytics team in collaboration with the Sports SLT • Present analytical findings and strategic recommendations clearly to senior leadership, translating quantitative outputs into actionable business narratives • Build and maintain a range of complex datasets, reports and dashboards • Lead analytical work to measure, evaluate and optimize bonus and promotional spend • Design and evaluate controlled experiments (A/B and multivariate tests) to drive incremental business value • Build agents and automations to automate manual tasks and processes • Mentor junior analysts and contribute to a rigorous, high-performance analytics culture

• Manage daily finance reconciliations across multiple channels and states • Develop a strong understanding of BetMGM’s revenue cycle and reporting process • Assist the Revenue Accounting team in performing month end reconciliations • Identify reconciling financial differences and take ownership of daily investigations • Work closely with the Business Intelligence team during variance investigations • Work closely with the Risk, Trading and Customer Operations teams during investigations • Provide support on all internal and external audit requests • Provide support to the wider finance team with ad-hoc requests as required

• Responsible for leading the development and delivery of actionable insights and analysis in response to key business questions • Work within a sprint structure to accomplish both short and long-term projects, to keep on track with deadlines and continue to push the business forward • Interface with internal stakeholders regularly to identify areas of focus within the business • Design, build, and maintain scalable ETL pipelines, data models, and data-as-a-service solutions to support analytics and business needs • Conduct deep-dive analyses using SQL, Python, R, or other analytical tools to generate actionable insights and support decision-making • Manage and maintain codebases through Git version control, ensuring best practices for collaboration, documentation, and deployment

• Responsible for leading the development and delivery of actionable insights and analysis in response to key business questions • Efficiently manage multiple short- and long-term projects to keep on track with deadlines and continue to push the business forward • Support the key Brand and Marketing teams, providing day-to-day reporting and analytics • Interface with internal and external stakeholders regularly to identify areas of focus within the business • Handle both day to day reactive and proactive operational requirements and larger complex projects while being able to meet deadlines • Building and maintaining datasets, reports and dashboards

• Own and execute testing efforts for assigned features, products, or integrations • Ensure coverage of functional, exploratory, and regression testing needs • Collaborate with Technical Managers, Product Managers, and cross-functional teams to define testing scope, risks, and acceptance criteria for features and releases • Perform application and platform testing on in-house and third-party integrations based on regulatory and technical requirements • Design, implement, and maintain manual test cases and applicable automated tests • Lead investigation, reproduction, and analysis of complex defects • Clearly document issues with actionable detail, traceability, and context • Review, reproduce, and validate issues raised by external testing entities or partners • Proactively identify quality risks, gaps in coverage, or process inefficiencies and propose practical improvements • Mentor junior testers.

Role Description The Fraud Management Analyst will report directly to the Senior Manager, Fraud Management, serving as a crucial link in ensuring BetMGM maintains an effective fraud program designed to mitigate, detect, action and report on any fraudulent activity which has occurred. The primary focus of this role is to identify, investigate and prevent systematic fraudulent behavior. This includes analyzing large data sets and escalated accounts to identify patterns of fraudulent behavior and designing effective mitigation solutions. The Fraud Management Analyst will also play a pivotal role in handling escalated matters by performing account investigations to identify potential risks and fraudulent activity for higher value players. The Fraud Management Analyst will be also responsible for sharing their insights and recommendations with key stakeholders on the Operations and Product teams when exploitable gaps are identified. Responsibilities - Monitor player gameplay activity, deposits and withdrawals to identify suspicious or potentially fraudulent emerging patterns and recommend fraud prevention strategies. - Utilize various data sources to design, test and implement effective fraud prevention rules. - Assist in tuning existing fraud detection rules and thresholds to reduce false positives while improving detection rates. - Conduct root cause analysis on fraud trends and recommend preventative measures and process enhancements. - Support the ongoing optimization of chargeback prevention and representment processes. - Collaborate closely with the Operations teams to resolve emerging fraud rings and enforce account actions (i.e., suspension, closure, etc.). - Analyze betting patterns to detect irregular gameplay, arbitrage betting and coordinated activity between accounts. - Design and build effective dashboards to support the monitoring of key fraud KPIs. Qualifications - Minimum of 3 years of experience in Fraud, Risk Management, Compliance, or related field, preferably in the gaming or financial services industry. - Bachelor’s degree in Finance, Criminal Justice, Data Analytics, or a related field. - Excellent analytical, strategic thinking, and problem-solving skills. - Experience in data analysis tools (e.g., Excel, SQL, Python, or BI tools). - Excellent attention to detail and ability to identify patterns in complex data. - Strong written and verbal communication skills, with the ability to interact effectively at all levels of the organization. - Ability to effectively articulate data insights. Requirements - The annual salary range for this position is $68,000.00 to $90,600.00. - Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. - This position is also eligible for participation in a performance-based bonus plan. - Applicants must possess legal authorization to work for our company in the U.S. without the need for immigration sponsorship. - This role is not eligible for immigration-related employment authorization sponsorship including H-1B, O-1, E-3, TN, OPT, etc. Gaming Compliance & Licensing Requirements - As an online gaming company, BetMGM is required to comply with state gaming regulations which includes licensing obligations. - Applicable employees must be licensed by at least one jurisdictional agency, although certain positions require licensing by multiple agencies. - Failure to become licensed or maintain licensure with each agency as required for the role may result in termination of employment. - The licensing process includes comprehensive background checks which may include a review of criminal records, financial history, and personal background verification. - Candidates must comply with and support BetMGM's responsible gambling policies, procedures, and initiatives. Benefits - Medical, Dental, Vision, Life, and Disability Insurance. - 401(k) with company match. - Pre-tax spending accounts including health care FSA and commuter savings. - Flexible paid time off. - Professional development reimbursement and ongoing skills training opportunities. - Employee resource groups. - Swag, ticket giveaways, and more!