A Conversion Specialist is responsible for timely and accurate conversion of new and existing Bank/Client base data to Fiserv systems, from both internal and external sources.
This role is responsible to provide data analysis for client projects and to accommodate other ad hoc data updates to meet client requests.
As part of the overall Service Delivery organization, a Conversion Specialist plays a critical role in mapping in data to support project initiatives for new and existing banks/clients.
Working with financial services data means a high priority on accuracy and adherence to procedures and guidelines.
The person stepping in as the backup would need to review the specifications history and then review and understand the code that was being developed to resolve the issue and or change.
This would also have to occur on the switch back to the original developer.
Today, the associate handling the project would log back in to support the effort and address the issue and or change.

Bachelor’s degree in programming or related field
Minimum 5 years’ relevant experience in data processing (ETL) conversions or financial services industry
5 – 8 years’ Experience and strong knowledge of MS SQL/PSQL, MS SSIS and data warehousing concepts
Strong experience with AI/ML analytics applied to reporting use cases.
Python (Pandas, NumPy, Scikit‑Learn, StatsModels, Matplotlib, Seaborn)
Natural‑language summaries and insights for business users
Apply ML techniques (regression, classification, clustering, time‑series forecasting) to business reporting use cases.
Strong communication skills and ability to provide technical information to non-technical colleagues.
Ability to mentor junior team members
Ability to manage and prioritize work queue across multiple workstreams.
Strong database fundamentals and Expert knowledge in writing SQL commands, queries and stored procedures
Experience in Performance Tuning of SQL queries.
Team player with ability to work independently.
Experience in full software development life cycle using agile methodologies.
Efficient in Reviewing, Analyzing, coding, testing, and debugging of application/ETL programs.
Good communication skills and experience in working with Clients.
Good understanding in Banking Domain.
Understanding Applications and related database features that can be leveraged to improve performance
Experience of creating testing artifacts (test cases, test plans) and knowledge of various testing types.

Data Architect

Key skills