Securities Quantitative Analytics Associate (Req. #001504)

At Wells Fargo, we want to satisfy our customers’ financial needs and help them succeed financially. We’re looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where you’ll feel valued and inspired to contribute your unique skills and experience.

Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.

Corporate Risk helps all Wells Fargo businesses identify and manage risk. The team focuses on several key risk types, including conduct, credit, financial crimes, information security, interest rate, liquidity, market, model, operational, regulatory compliance, reputation, strategic, and technology risk.

The group provides leadership, enhances communications, assists with problem identification and solutions, and shares best practices. In addition, the group provides an enterprise-wide view of risk, assists management and our Board of Directors in identifying and monitoring risks that may affect multiple lines of business, and takes appropriate action when business activities exceed the risk tolerance of the company.

Wells Fargo Bank N.A. seeks a Securities Quantitative Analytics Associate in New York, NY.

Job Role and Responsibility: Responsible for the implementation of pricing and risk analytics in C++ or Java. Code testing and debugging. Communicate and collaborate with traders, risk managers, quantitative researchers and technologists. Daily use of C++ and Java IDE’s (compilers). Daily use of source code management tools like Github. Present technical topics to other team members. Remote / telecommute work available, up to 2 days per week. Position required to appear in person at the location listed.

Travel required:  None

Required Qualifications:

Position requires a Master’s degree in Physics, Computer Science, Mathematics, Statistics, or related quantitative field and one (1) year of experience in the job offered or related role involving quantitative analytics experience.

Specific skills required:

• Programming languages used for statistical analysis and data programming including SAS, R, C++, Python, SQL, and MATLAB

• Windows, Linux or Unix Operating Systems
• Exposure to trade performance analysis and PnL attribution
• Stochastic Modeling, Optimization, Simulation, Computational Statistics, and Machine Learning
• Statistical model development/validation

Salary: $133,300 - $237,100

Pay Range
 

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.

$0.00 - $0.00

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Discounts and savings
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement

Posting End Date:

31 Jan 2025

*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, Regula