About this role:

Wells Fargo is seeking a Senior Quantitative Analytics Specialist

In this role, you will:

Perform highly complex activities related to creation, implementation, and documentationUse highly complex statistical theory to quantify, analyze and manage marketsForecast losses and compute capital requirements providing insights, regarding a wide array of business initiativesUtilize structured securities and provide expertise on theory and mathematics behind the dataManage market, credit, and operational risks to forecast losses and compute capital requirementsParticipate in the discussion related to analytical strategies, modeling and forecasting methodsIdentify structure to influence global assessments, inclusive of technical, audit and market perspectivesCollaborate 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, educationMaster's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Desired Qualifications:

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.

Essential Skills:

4+ 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 packagesProducing required documentation to substantiate model validationAnalyzing 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 skillsStrong communication skills for a variety of audiences (other technical staff, senior management and regulators) both verbally and in writingCapability to multi-task and finish work within strict timelines and provide timely requests for information and follow-up questionsAbility to work independently on complex model validations from start to finishAble 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 stakeholdersEagerness to contribute collaboratively on projects and discussionsPerpetual interest in learning something new, but being comfortable with not knowing the all the answersAttention to detail in both analytics and documentationAptitude for synthesizing data to 'form a story' and align information to contrast/compare to industry perspectiveIntellectually curious, who enjoy solving problemsExcellent programing skills and use of software packages such as C++, Python, R, SAS and SQLAbility to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environmentGood interpersonal skills and ability to develop partnerships and collaborate with other business and functional areas

Posting End Date: 

*Job posting may come down early due to volume of applicants.

We Value Diversity

At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

 

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

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