About this role:
Wells Fargo is seeking a Lead Quantitative Analytics Specialist.
The successful candidate will report to the CIB Portfolio Risk lead and will work closely with the other CIB Risk teams as well as other Business Sponsors
In this role, you will:
- Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly
statistical theory - Qualify monitor markets and forecast credit and operational risks
- Strategize short and long-term objectives, and provide analytical support for a wide array of business initiatives
- Utilize stochastic, structured securities, spread analysis, with the expertise in the theory and mathematics behind the analysis
- Review and assess models inclusive of technical, audit, and market perspectives
- Identify structure and scope of review
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Enable decision making for product and marketing with broad impact and act as key participant to develop and document
analytical models
- 5+ 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
- Knowledge of data science and machine learning concepts and tools.
- 5+ years of experience as a Python Developer on strong projects.
- Bachelor's or Master's degree in Computer Science, Software Engineering, data science or quantitative field.
- In-depth understanding of the Python software development stacks, ecosystems, frameworks, and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch.
- Experience with popular Python frameworks such as Django, Flask or others.
- Good database skills including SQL.
- Excellent problem-solving ability with solid communication and collaboration skills.
- Self-starter, takes initiative, and has a strong desire to learn and grow.
- Familiarity with Natural Language Processing concepts and tools.
- Familiarity with Generative Artificial Intelligence concepts.
- Experience in financial industries including risk management will be a plus
- Strong project management skills and ability to coordinate several reports / projects at once
- Excellent verbal, written, and interpersonal communication skills
- Experience preferred from a large, matrixed, global financial services company
- Bachelors/Master's degree preferably in an engineering or quantitative discipline
- Establish and maintain a roadmap for AI and machine learning initiatives, ensuring alignment with business goals and timelines.
- Develop and deploy machine learning models and algorithms to solve business problems in the financial risk management.
- Analyze large, complex datasets to extract actionable insights and drive data-driven decisions.
- Work closely with stakeholders to understand business requirements and translate them into technical solutions.
- Collaborate with software developers to integrate AI / ML solutions.
- Participate in regular meetings with and provide AI / ML related updates to relevant senior management.
*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.