Risk Analytics Lead

5 days ago


Hyderabad, Telangana, India WELLS FARGO BANK Full time

We are seeking a highly skilled Risk Analytics Lead to join our team at Wells Fargo Bank. This role will play a critical part in shaping our credit decision-making processes, ensuring they are sound, effective, and compliant with regulatory requirements.

About the Role

This Senior Risk Analytics Consultant position is responsible for leading moderately complex initiatives and delivering insight and decision strategies within analytics and reporting. You will work closely with cross-functional teams, including risk analysts, business stakeholders, and technical partners, to design, develop, and implement risk models, predictive analytics, and reporting solutions.

  • Develop and maintain advanced analytical models, leveraging statistical techniques and machine learning algorithms, to drive data-driven insights and inform credit risk decisions.
  • Collaborate with business stakeholders to identify areas of improvement and develop strategic plans to enhance credit risk management practices.
  • Design and implement efficient data integration and processing pipelines to support large-scale risk analysis and reporting.
  • Leverage industry-leading technologies, such as SAS, SQL, and Python, to develop scalable and secure data solutions.
About Us

Wells Fargo Bank is committed to providing its employees with opportunities for growth and development. As a Risk Analytics Lead, you will have access to cutting-edge tools and resources, training programs, and mentorship from experienced professionals. Our company values diversity, equity, and inclusion and strives to create a workplace culture that fosters collaboration, respect, and open communication.

The estimated salary for this position is $120,000-$150,000 per year, based on national averages and market conditions.

Required Qualifications
  • 4+ years of experience in risk analytics or related field, with a strong background in statistics, data science, or computer science.
  • Advanced degree in a quantitative field (MS/PhD) or equivalent experience.
  • Excellent communication, presentation, and project management skills.
  • Able to analyze complex data sets, identify trends, and make recommendations for process improvements.


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