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 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
Desired Skills:
- Ph.D. in economics, statistics, finance, math, engineering or similar quantitative disciplines
- 2+ years of experience in Fraud Risk Model development or Fraud detection strategies
- 4+ years of scorecard development, credit or fraud risk analytics experience, or a combination of both.
- Master's degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics, or computer science
- 4+ years of programming experience in SAS, Python or R
- Experience in credit and/or fraud risk model development and/or monitoring
- Excellent verbal and written communication skills
- Experience in producing high quality technical documentation with tools such as Excel, Word, PowerPoint
- Exposure to machine learning techniques (Random Forest, XG Boost, Light GBM, Neural Networks, and so on)
- Developed Fraud Risk Model using Python
- Familiarity with Credit Bureau Data
- Excellent problem-solving skills and ability to connect dots, see big picture and find solutions and articulate in a clear manner.
- Understanding of process, methodologies used in credit/fraud scoring model development, implementation, validation and monitoring
- Ability to effectively manage multiple assignments with challenging timelines
- Experience in statistical modeling techniques
Job Expectations:
- Develop best-in-class transactional and application fraud risk models leveraging cutting-edge advanced AI/ML techniques
- Analyze and explore predictive patterns using big data translating into enhanced strategies/rules leading to minimized fraud loss
- Use Python to build end to end Machine Learning models starting from data processing to feature engineering to model estimation.
- Lead and participate in critical debugging, testing and performance tuning for machine learning and/or statistical models written in python code
- Conduct ad-hoc analysis and reporting as required
- Responsible for documenting and presenting detailed model development processes and results, suitable for a variety of audiences
- Lead and participate intensive team discussions, interactions with cross-functional teams, and dialogues with internal reviewers (Model Validation and Internal Audit)
- Collaborate with key business model users to ensure models are business driven, properly implemented and executed
- Respond to ongoing analytical requests from auditors and regulatory reviewers in timely manner
Posting End Date:
14 Mar 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, 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.
Top Skills
What We Do
Wells Fargo & Company (NYSE: WFC) is a diversified, community-based financial services company with approximately $1.9 trillion in assets. Wells Fargo’s vision is to satisfy our customers’ financial needs and help them succeed financially. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, investment and mortgage products and services, as well as consumer and commercial finance, through more than 7,300 locations, 12,000 ATMs, the internet (wellsfargo.com) and mobile banking, and has offices in over 40 countries and territories to support customers who conduct business in the global economy. With approximately 250,000 team members, Wells Fargo serves one in three households in the United States. Wells Fargo & Company was ranked No. 41 on Fortune’s 2022 rankings of America’s largest corporations. News, insights and perspectives from Wells Fargo are also available at Wells Fargo Stories.
Relevant military experience is considered for veterans and transitioning service men and women.
Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation. © 2016 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.
Why Work With Us
We're known for our “Well Life” approach to supporting employees’ career aspirations, work-life balance, and mental and physical health. We ranked #2 on the 2023 LinkedIn Top Companies list – and #1 among financial services companies – as the best workplace “to grow your career” in the U.S.
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