Specialist, Technical Business Analysis

Calling all innovators find your future at Fiserv.

Were 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 were involved. If you want to make an impact on a global scale come make a difference at Fiserv.

Job Title

What does a great Business Analyst do in Fiserv

Consults with project teams and functional units on the design of important projects or services. Helps support existing business systems applications and demonstrates proficiency and leadership. Balances and prioritizes project work efficiently. Utilizing data to provide insights and actionable recommendations they help inform decision-making and strategy development.

What you will do

• The candidate for this position will leverage your expertise in data analysis machine learning and statistical modeling to uncover insights and develop predictive models that enhance our fraud rules. You will collaborate with cross-functional teams to analyze vast amounts of transactional data identify patterns of fraudulent behavior and continuously improve our monitoring systems. Your contributions will play a crucial role in enhancing the effectiveness of our solutions and protecting our clients from evolving threats. Must have excellent communication skills as the role periodically interfaces with clients vendors and business partners.

What you will need to have:

• Bachelors degree in Computer Science or Engineering or relevant work experience
• IT experience with background in development.
• Minimum of 5 years experience in fraud analysis investigations or a related field preferably in the financial services or e-commerce sector.
• Proficiency in programming languages such as Python or R for data analysis and model development.
• Familiarity with SQL for querying and managing relational databases.
• Solid understanding of statistical methods and techniques including regression analysis clustering time series analysis and classification.
• Excellent analytical skills with the ability to derive insights from complex datasets.
• Strong communication skills to effectively convey technical findings to non-technical stakeholders.
• Ability to work collaboratively in a fast-paced team-oriented environment.
• Strong written and verbal communication skills with the ability to present findings and recommendations clearly to stakeholders.
• Self-motivated proactive and able to work independently as well as collaboratively in a team environment.

What would be great to have

• Knowledge of financial technologies standards and industry regulations (i.e. Payment Card Industry Data Security Standards) are highly preferred
• Knowledge of and experience with JIRA Service Point and Confluence products.
• Experience with machine learning frameworks (e.g. scikit-learn TensorFlow Keras) and data manipulation libraries (e.g. Pandas NumPy).

Conclusion

The role demands Analyze large datasets to identify trends patterns and anomalies that may indicate payment card compromises across a clients portfolio and Develop implement and maintain predictive models and machine learning algorithms to enhance fraud detection capabilities.

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).

Our commitment to Diversity and Inclusion:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion national origin gender gender identity sexual orientation age disability protected veteran status or any other category protected by law.

Note to agencies:

Fiserv does not accept resume submissions from agencies outside of existing do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.