MasterCard - Analyst - Data Analytics

Analyst - Data Analytics from Financial Institution with experience in SAS/ Python

Job Description Summary

Who is Mastercard-

We are the global technology company behind the world's fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless- . We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities.

Job Title

Analyst - Data & Analytics from Financial Institutions experience in SAS/Python coding

Overview

MasterCard Advisors is the professional services arm of MasterCard Worldwide and, since 1997, has been at the forefront of MasterCard's differentiation, innovation and success.

Data & Analytics Join the data revolution! MasterCard Advisors is helping to shape the future of data insights by leveraging billions of anonymized, aggregated transactions in a 10 petabyte data warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively. Be part of an Analytics Center of Excellence that is developing consumer insights that are reshaping how businesses make decisions.

Data & Analytics is charged with servicing Consulting Services, Information Services, and Managed Services by centralizing and optimizing the world-class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization

FI Custom delivery team within the D&A - CoE organization works on client business problem for FI clients (Issuer, Acquirer, Business Banks, Wholesale banks, Insurance etc.) leveraging client data, anonymous transaction data, 3rd party data (including social media, weather data, etc.), big data analytics, quantitative methods & machine learning for experimental design, statistical testing, propensity modeling, marketing modeling, credit risk modeling, and forecasting.

Role

- Conduct statistical analysis of large customer datasets to improve marketing, credit risk, and operational performance

- Build predictive models and credit scores

- Conduct customer segmentation analysis and build customer profiles

- Leverage analytics to develop and optimize credit policies

- Target and optimize marketing campaigns

- Develop detailed business cases to optimize the implementation of analytical solutions

- Contribute as a thought leader to develop intellectual capital

- Work closely with internal product teams to develop innovative solutions for unmet client needs

- Review analytics end-products to ensure accuracy, quality, and timeliness.

- Proactively seek new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal oversight

All About You

- Solid experience in developing analytical solutions for marketing and/or credit risk in retail banking or payments industries preferred. Particularly relevant to this role is hands-on experience in marketing analytics and/or Risk analytics

- Consulting and project management experience preferred

- Strong statistical programming skills required - SAS,R, Python (preferred)

- Strong, hands-on data analysis skills

- Experience in multivariate cross-sectional analysis of large customer databases (including predictive modeling, credit scoring, cluster analyses, and survival analysis) is preferred

- Strong communication and interpersonal skills required

- Strong presentation verbal and written skills required

- Independent, motivated self-starter - acts with a sense of urgency

- Meticulous and detail oriented

- Strong multi-tasking skills: must have the ability to prioritize and manage multiple simultaneous projects in a highly demanding global environment

- Thought leadership/Expertise in building new analytical solution/products is preferred