Advisor, Statistical Analysis

You deserve to do what you love, and love what you do - a career that works as hard for you as you do. At Fiserv, we are more than 40,000 #FiservProud innovators delivering superior value for our clients through leading technology, targeted innovation and excellence in everything we do. You have choices - if you strive to be a part of a team driven to create with purpose, now is your chance to Find your Forward with Fiserv.

**Responsibilities**:
**Requisition ID** R-10353347 **Date posted** 07/21/2025 **End Date** 08/04/2025 **City** Bengaluru **State/Region** Karnataka **Country** India **Location Type** Onsite

**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**

Advisor, Statistical Analysis

Job Posting Title: Tech Lead, Statistical Analysis

What does a successful Tech Lead, Statistical Analysis do at Fiserv?

What you will do:

- Create comprehensive strategies to proactively identify and mitigate potential challenges and opportunities. Collaborate with cross-functional teams to ensure alignment with company objectives.
- Oversee and analyze large datasets to identify patterns, trends, and anomalies. Utilize statistical modeling, machine learning algorithms, and data visualization tools to gain actionable insights and drive data-driven decision-making.
- Evaluate and optimize systems and technologies. Implement improvements to enhance the accuracy and efficiency of data analysis.
- Develop and maintain regular reports on key metrics, trends, and insights. Present findings to stakeholders, recommending appropriate actions based on analysis.
- Stay abreast of the latest trends, tools, and technologies in your field. Identify opportunities to enhance existing processes and methodologies, driving continuous improvement within the team.
- Ensure Compliance and Best Practices: Ensure that all activities align with industry regulations and company policies. Collaborate with relevant teams to address any potential issues.

What you will need to have:

- Bachelor’s or master’s degree in a relevant field such as Data Science, Statistics, Computer Science, or a related discipline.
- Proven experience (typically 8-10 years) in analytics.
- Strong analytical skills with expertise in data manipulation, statistical analysis, and machine learning techniques.
- Proficiency in programming languages such as Python, R, or SQL.
- Experience with data visualization tools (e.g., Tableau, Power BI) for presenting insights to stakeholders.
- Excellent leadership and communication skills, with the ability to inspire and motivate a team.

What would be great to have:

- Proficiency in programming languages such as Python, R, or SAS, and experience with relevant libraries and frameworks (e.g., TensorFlow, Py-Torch, scikit-learn).
- Solid understanding of hypothesis testing, and validation methodologies.
- Experience with data manipulation, feature engineering, and data preprocessing techniques.
- Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders effectively.
- Experience with data visualization tools and techniques to present validation results in a clear and meaningful way.

Thank you for considering employment with Fiserv. Please:

- 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.

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