Come and join us in reshaping the future!     

As a Quant Analytics Manager on the Payments Analytics Team, you’ll leverage data to influence business decisions, develop strategies and experimentation in collaboration with multiple stakeholders. You will play a key role in developing KPIs, create dashboards and develop analyses including segmentations, trends, optimizations and other techniques to improve business function performance.   

Job Responsibilities:

Experience with data querying, wrangling, and analysis; proficient in SQL and/or Python with a working knowledge of Snowflake Data Cloud. Knowledgeable of relevant statistical concepts (significance testing, regression/linear models). Put together experimentation plans, form hypotheses, calculate test sizing and segmentation, provide analytics requirements in data collection and experience change to developers, conduct analysis of test results and provide recommendations.Use advanced data discovery and data mining tools to reveal relationships and trends in the data providing new insights into behaviors. Strong communicator with a bias toward action to proactively collaborate with cross-functional teams including designers, customer research, developers and product managers. Work directly with business partners across multiple channels to evaluate needs, develop end-to-end solutions, and implement those solutions within budget, control requirements, and SLAs. Build models to estimate initiatives, UI changes, experimentation roll out impact on business KPIs and revenue.

 

Required qualifications, capabilities, and skills:

PhD/Master or equivalent in Statistics (can include Social Science), Mathematics, Computer Science, Data Science, or relevant fields.5 years of experience in an advanced analytics role.Ability to drive multiple medium complexity initiatives with minimal guidance. Strong programming skills with SQL and/or Python and a demonstrated ability working with large datasets. Running A/B testing on digital platforms including to create relevant hypothesis, define success metric, calculate minimum test sizing on given p-value, confidence level, measurable lift/drop, and baseline KPIs. Clear and articulate communication skills.Ability to train and lead junior team members. 

 

Preferred qualifications, capabilities, and skills:

Advanced analytics experience, with preferred knowledge in one or more of these tools: SSRS, Power BI, Alteryx.Industrial experience in consumer facing e-commerce products and financial products including banking and investment, financial planning and fraud prevention.