Senior Data Analyst - Payment Transactions

Calling all innovators – find your future at Fiserv.

We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

Senior Data Analyst - Payment Transactions

What does a successful Senior Payments Fraud Data Analyst do at Fiserv?

As a Senior Data Analyst within Data Commerce Solutions, you will analyze different payment transactions from an Acquirer, Network and Issuing perspective with the goal of expediting and improving merchant transaction approvals.

What you will do:

• Analyze payment transactions across multiple data sources, identify patterns for decline transactions and come up with rules for optimum authorization approvals.
• Analyze 3 to 5 years historic transaction data to identify decline rates based on Issuer, type of transaction, Card type , Card Brand and other key attributes.
• Support end-to-end analytics projects including requirement development, explorative data analysis, data wrangling, feature engineering, rules and model fitting and deployment. 
• Work with several frameworks including Splunk, Spark, DASK, sci-kit learn, Pandas.
• Assist in the communication of insights and the implementation of solutions across the organization including development of data visualizations, dashboards and the presentation of results to key stakeholders and executives.

What you will need to have:

• Bachelor’s degree in Engineering , Data Science, Computer Science, Statistics, Applied Mathematics, or related field.
• 7+ years of experience as a Data Architect, Data Scientist or in a related role.
• Experience in a Payments industry with knowledge of card issuing, payment networks and merchant acquiring and understanding of transaction level attributes.
• Proficiency in SQL, Splunk and a computing language such as Python or R 
• Working knowledge of data platforms such as Hadoop, Hive, Impala, RDBMS, SQL, Databricks, Snowflake & Azure or NoSQL Databases 
• Experience working in collaborative team environment with multiple stakeholders including business, product development, architecture, and engineering teams.

What would be great to have:

• Knowledge of transaction declines at Issuer, Network and/or Association level.
• Proficiency with statistical data analysis and pattern recognition techniques (e.g., SVM, regression, classification, clustering, time series).

Important info about this role:

• We’re better together. This role is fully on-site.
• This is a full-time, direct-hire position, and no contract options for unsolicited agency submissions will be considered.

LI-ME1

This role is not eligible to be performed in Colorado, California, District of Columbia, Hawaii, Maryland, New York, Nevada, Rhode Island or Washington.

Please note that salary ranges provided for this role on external job boards are salary estimates made by outside parties and may not be accurate.

Thank you for considering employment with Fiserv.  Please:

• Apply using your legal name
• Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

What you should know about us:

Fiserv is a global leader in payments and financial technology with more than 40,000 associates proudly serving clients in more than 100 countries. As one of Fortune® magazine's "World's Most Admired Companies™" 9 of the last 10 years, one of Fast Company’s Most Innovative Companies, and a top scorer on Bloomberg’s Gender-Equality Index, we are committed to innovation and excellence. 

Our commitment to Diversity and Inclusion:

Fiserv is an Equal Opportunity Employer, and we welcome and encourage diversity in our workforce that reflects our world. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by law. 

We will ensure that individuals with disabilities are provided reasonable accommodation