Wells Fargo Senior Quantitative Analytics Specialist 

India, Karnataka, Bengaluru 

499689860

About this role:

In this role, you will:

• Perform highly complex activities related to creation, implementation, and documentation
• Use highly complex statistical theory to quantify, analyze and manage markets
• Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives
• Utilize structured securities and provide expertise on theory and mathematics behind the data
• Manage market, credit, and operational risks to forecast losses and compute capital requirements
• Participate in the discussion related to analytical strategies, modeling and forecasting methods
• Identify structure to influence global assessments, inclusive of technical, audit and market perspectives
• Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills

Required Qualifications:

• 4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Desired Qualifications:

• The Consumer Model Development Centre, within CDAI organization, is looking for an established and proven Senior Quantitative Analytics Specialist to join our team and help us solve challenging and interesting business problems through data exploration, advanced analytics and visualization. In this highly valued role, you will work on different areas like cross LOB models and/or Gen AI (good to have) within the Center of Excellence (COEs) with varied competencies, including Modeling, Monitoring, Deployment, and Analytic Quality Review.
• This role is highly visible across the Wells Fargo’s India and Philippines verticals and horizontal functions. Incumbent is expected to manage highly matrixed organizations with additional responsibility to grow the analytic practice serving various lines of business and support functions.
• Required to work individually or as part of a team on multiple data science projects and work closely with business partners across the organization.
• Provide analytical support for developing, evaluating, implementing, monitoring and executing models across business verticals.
• Establish a consistent and collaborative framework with the business and act as a primary point of contact in delivering the solutions.
• Review and validate models and help improve the performance of the model under the preview of the banking regulations.
• Work closely with technology teams to deploy the models to production.
• Prepare detailed documentations for projects for both internal and external that complies regulatory and internal audit requirements.

Job Expectations:

• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
• 4+ years of relevant hands-on experience in data science and advanced analytics.
• Must have hands on experience in Python, PySpark, SQL etc. Exposure to Google Cloud Platform (Vertex AI, Big Query, GCS) or equivalent in AWS, Azure etc.
• Demonstrated expertise in Generative AI, including large language models, Generative AI frameworks, and advanced NLP techniques which includes leading GenAI projects from conception to production. (Good to have)
• Expert knowledge on working on large datasets and present conclusions to key stakeholders.
• Excellent verbal, written, and interpersonal communication skills
• Expertise in prioritizing and manageprojects effectively
• Experience in building quick prototypes to check feasibility and value to business.
• Ability to deep dive and find root cause of the problems followed by developing solutions.

Wells Fargo Recruitment and Hiring Requirements:

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.