Specialist, Statistical Analysis

As a Specialist, Statistical Analysis at Fiserv, you will play a vital role in the organization by utilizing your skills and expertise to extract valuable insights from data. Your contributions will enable data-driven decision-making, ultimately leading to the success of the organization. Leveraging product knowledge, subject matter expertise, and technical skills, you will provide top-notch service to address client/customer issues effectively. Your responsibilities will include driving new business engagements with clients, as well as nurturing existing client relationships. You will collaborate with clients to comprehend their business challenges, processes, and implementation hurdles. Using data analysis, you will assess the business unit's functions, identify key business drivers, and propose strategies and future actions. In this role, you will manage end-to-end delivery, from requirement gathering to solution design and business recommendations. Working closely with statisticians, you will develop solution frameworks, identify statistical techniques, implement mechanisms, track campaigns, and create experimental designs to enhance business performance understanding. Ideally, you should possess domain expertise in banking and risk domains to shape solution frameworks and develop strategies that add incremental value to the business. Proficiency in advanced statistical techniques is crucial for validating model outcomes and aligning them with business requirements and implementation plans. Furthermore, you will be expected to develop analytics proof of concepts on emerging trends in banking to innovate new analytical products for Fiserv. Collaboration with the model development team, providing feedback, and recommending model improvements based on validation results will be essential aspects of your role. Effective communication is key in this position, as you will need to articulate validation findings and recommendations to stakeholders clearly and concisely, both verbally and through written reports or presentations. To qualify for this role, you should hold a Bachelor's degree in Statistics/mathematics or a related field, along with 5-8 years of experience in solving business problems using advanced statistics. Strong analytical, problem-solving, and communication skills are essential requirements. In addition to the above, proficiency in programming languages like Python, R, or SAS, experience with relevant libraries and frameworks, a solid understanding of hypothesis testing and validation methodologies, as well as familiarity with data manipulation, feature engineering, and data preprocessing techniques would be advantageous. Thank you for considering employment with Fiserv. To apply, please use your legal name, complete the step-by-step profile, and attach your resume. Fiserv is committed to diversity and inclusion and does not accept resume submissions from agencies outside of existing agreements. Be cautious of fraudulent job postings not affiliated with Fiserv, as they may be used by cybercriminals to target sensitive information. Any communication from a Fiserv representative will originate from a legitimate Fiserv email address.,