Wells Fargo Quantitative Analytics Specialist 

India, Karnataka, Bengaluru 

507658288

Quantitative Analytics Specialist

position in Model Risk Management (MRM). MRM operates in a fast-paced work environment with continuously changing policies and technologies. The successful candidate as a QAS is expected to be self- motivated, require minimal supervision, and produce work that is consistent with MRM’s recognized high standards. Effective work will involve familiarity with source systems of record, analytical data and sampling plans, model replications, model performance assessments, and test model development as effective challenges, benchmarking, stress testing, sensitivity analysis of

In this role, you will:

• Performing model validations and clearly documenting evidence of validation activities
• Develop benchmarking and alternative models in Python/R/SAS
• Conducting model replication and review of model documentation
• Providing effective challenge to models developed in/for the lines of business, including identifying conceptual weaknesses in a model and understanding tradeoffs with other approaches
• Managing and mitigating model risk to meet or exceed regulatory and industry standards
• Assisting experienced validators and business partners for ad-hoc analysis and testing
• 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

Required Qualifications:

• 1-5 years of experience in modelvalidation/developmentor related data analytics are withminimum Masters in 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. Experience in Banking domain is an added advantage.

Desired Qualifications:

• Strong mathematical, statistical, analytical and computational skills
• 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
• Able to demonstrate first-hand knowledge of advanced topics in various mathematical and numerical methods such as Monte Carlo, stochastic calculus, differential equations, linear algebra, applied probability, and statistics;
• Skill in managing relationships with key model stakeholders
• Eagerness to contribute collaboratively on projects and discussions
• Perpetual interest in learning something new, but being comfortable with not knowing the all the answers
• Attention to detail in both analytics and documentation
• Aptitude for synthesizing data to 'form a story' and align information to contrast/compare to industry perspective Intellectually curious, who enjoy solving problems.

19 Aug 2024

Wells Fargo Recruitment and Hiring Requirements:

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