Fiserv, a global leader in Fintech and payments, needs to analyze payment and banking transactions to identify patterns and build insights for data commercialization, ultimately driving innovation and growth by unlocking the potential of their vast data.
Requirements
- Proficiency in SQL and a computing language such as Python or R.
- Working knowledge of data platforms such as Databricks, Snowflake & Azure or NoSQL Databases.
- Proficiency with statistical data analysis and pattern recognition techniques (e.g., SVM, regression, classification, clustering, time series).
- Experience with one or more ML Ops frameworks — MLFlow, Kubeflow, Azure ML, Sagemaker.
- Experience with ML approaches: deep learning, generative AI, large language models, logistic regression, gradient descent.
- 7+ years of experience in a Payments industry with strong knowledge of Core Banking, Digital banking, ACH, Wire or Check processing.
Responsibilities
- Analyze payment and banking transactions across multiple data sources, identify patterns and build insights for data commercialization.
- Analyze 3 to 5 years historic transaction data on banking, digital banking, check data, External data, payments to create macro and micro level stats.
- 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 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.
- Experience and proficiency in visualization tools like (e.g. Power BI, Tableau)
Other
- 10+ years of experience as a Data Architect, Data Analyst or in a related role.
- Experience working in a collaborative team environment with multiple stakeholders.
- This role is on-site Monday through Friday.
- In order to be considered, you must be legally authorized to work in the U.S. without need for sponsorship now or in the future.
- This is a full-time, direct-hire position, and no contract options for unsolicited agency submissions will be considered.
