Wells Fargo Senior Quantitative Analytics Specialist 

India, Karnataka, Bengaluru 

16683689

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

In this role, you will:

• Execute the Validation processes based on model risk supervisory guidance, Model Risk Management Policy and procedures, and current industry best-practices in one or more of the above-named areas. In particular:
  • Ensure credible challenge of models through validation process
  • Evaluate all relevant components of models and assess model soundness across lifecycle
  • Identify areas of weakness and work with model owners, risk partners, and other key stakeholders to ensure risk commensurate remediation
  • Demonstrate strong knowledge of subject matter area of focus, as well as sound validation and analysis techniques
  • Deliver high quality and timely validation reports combining intellectual rigor, analytical depth, and key model risk perspective
  • Support timely resolution of model weaknesses
• Develop benchmarking and alternative models in Python/R/Matlab/SAS
• Conducting model replication and review of model documentation
• Managing and mitigating model risk to meet or exceed regulatory and industry standards.
• Providing leadership and consultation to less experienced validators and business partners
• Communicating model risk findings and limitations to key stakeholders
• Contributing to the improvement of model building and model use practices
• Providing analytical support and offering insights regarding a wide array of business initiatives
• Interacting with senior management and regulators on key modeling issues, including the identification, management, and mitigation of model risk
• Proactively following the industry trend to apply and develop new technology as part of R&D to improve efficiency.
• Ensure all models within scope are independently validated per expected standards and schedule

Required Qualification and Skills:

• 4 to 7 years of experience (Masters), 2 to 3 years of experience (Phd)in model validation or model development with Masters / Phdin a quantitative fieldsuch as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis.

• Able to demonstrate first-hand knowledge of advanced topics in various mathematical and numerical methods such as linear algebra, applied probability, and statistics (Logistic regression, Time Series and Machine learning techniques);

• Familiarity in one or more of the following areas: Liquidity and Capital models, Stress testing models (ILST, LCR), Recovery and resolution planning models, Asset-liability risk management, Deposit models, Predictive modelling with Logistic regression, Time Series and Machine learning techniques.

• Strong mathematical, statistical, analytical, and computational skills along with programming experience in SQL, Python, SAS, R, and comfortable working with large datasets

• Strong communication skills for a variety of audiences (other technical staff, senior management, and regulators) both verbally and in writing
• Capability to multi-task and finish work within strict timelines and provide timely requests for information and follow-up questions

• Ability to work independently on complex model validations from start to finish
• Attention to detail in both analytics and documentation

Desired Skills

• Eagerness to contribute collaboratively on projects and discussions and support the development of high performing teams
• Capability to multi-task and finish work within strict timelines and provide timely requests for information and follow-up questions
• Aptitude for synthesizing data to 'form a story' and align information to contrast/compared to industry perspective.
• Intellectually curious, enjoys solving problems.

26 Feb 2025

Wells Fargo Recruitment and Hiring Requirements:

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