Quant Analytics [Multiple Positions Available]

Duties: Deliver analytical approaches to identify opportunities for enhancing fraud and scam prevention efforts.

Develop and maintain a comprehensive data strategy roadmap in collaboration with Data Owners, Tech, and Product Owners.

Collaborate with stakeholders to understand business priorities and translate them into actionable data initiatives.

Partner with executive leadership to articulate the vision, goals, and roadmap for data-driven decision-making.

Drive the adoption of best practices in data management and analytics through training, mentoring, and knowledge sharing.

Continually monitor and optimize data processes, analytical models and infrastructure.

Manage disparate requirements with a high tolerance for ambiguity.

Guide clients keeping the ultimate project objective in mind.

Establish and adhere to guidelines ensuring consistency and high quality of presentation materials.

Collaborate with unit managers, end users, developers, and other stakeholders to integrate data discoveries and processes into operational capabilities.

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Information Technology, Analytics, Mathematics, or other related quantitative field or related field of study plus 3 years of experience in the job offered or as Quant Analytics, Data Owners, Quant Analyst, Analyst, Product Management, or related occupation.

The employer will alternatively accept a Bachelor's degree in Information Technology, Analytics, Mathematics, or other related quantitative field or related field of study plus 5 years of experience in the job offered or as Quant Analytics, Data Owners, Quant Analyst, Analyst, Product Management, or related occupation.

Skills Required: This position requires experience with the following: Applying advanced analytics techniques using SQL, Python, or R to extract actionable insights from large-scale digital datasets, including conducting exploratory data analysis, and visualizing results to inform business decisions and strategy; querying and wrangling large datasets within cloud-based data platforms including AWS, Hadoop, and Spark, including developing complex queries, performing data cleansing, transformation, and preparing data for analytics to support fraud detection and customer protection initiatives; designing and automating business-critical dashboards and reports using Tableau and Excel including Data Visualization via Tableau and Excel, dynamic filtering, and KPI tracking; translating complex analytical findings into compelling PowerPoint presentations that drive strategic decision-making and clearly communicate actionable insights to business and executive audiences; utilizing digital analytics to capture, interpret, and visualize user behavior data, translating complex digital metrics into actionable insights that drive product and security enhancements; collaborating with cross-functional teams including data engineers, product managers, and business stakeholders to...