Senior Quantitative Analytics Specialist

Desired Skills:

• 5-8 years of experience with minimum Masters/ Phd in a quantitative field such as applied math, statistics, engineering, physics, or mathematical finance.
• Performing mathematical model validation using Python, C++, R, and SQL or other programming languages and mathematical/statistical packages
• Producing required documentation to substantiate model validation
• Analyzing processes and work flows to make recommendations for process improvement in various risk management and/or business areas as well as participating in and leading model risk projects.
• 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
• Excellent programing skills and use of software packages such as C++, Python, R, SAS and SQL
• Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
• Good interpersonal skills and ability to develop partnerships and collaborate with other business and functional areas

Job Expectations:

• MRM operates in a fast-paced work environment with continuously changing policies and technologies.
• The successful candidate is expected to be self- motivated, require minimal supervision, and produce work that is consistent with MRMs 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 to lines of business.
• It further requires strength in writing detailed standard analytical reports to ensure Wells Fargos compliance with governance policies and regulations.
• Each validation report will include assessments of the specific business, model purpose and history, the model methodology, data integrity, model development, performance, implementation, and monitoring.These documents are read by a broad audience, including auditors and regulators.

• A Senior Quantitative Analytics Specialist is an individual contributor role in the Market Model Validation team.
• This team deals with developing and validating mathematical models for pricing and hedging complex financial instruments.
• We use traditional and cutting-edge techniques in applied and computational mathematics to assess and validate models.
• In particular, the candidate is expected to have hands-on knowledge of working on PFE (Potential Future Exposure) models, XVA framework and Counterparty Credit Risk concepts.
• Candidate should have strong knowledge of derivative pricing theory, numerical techniques in Mathematical Finance such as Numerical PDE, Monte-Carlo Methods and Computational Programming.
• A Senior Quantitative Analytics Specialist should have a deep academic knowledge, broad based approach to solve business problems.
• He/she should approach the problem agnostic of analytic technique, tool or process.
• Ability to think outside the box and provide ensemble solutions should set them apart to be a high performing team member.