About this role:
Wells Fargo is seeking a Lead Quantitative Analytics Specialist. This is a partner-facing role and is responsible for delivering high impact analytic and data science projects by using analytics and AI. Primary role of the Lead Quantitative Analytics Specialist in the Consumer Model Development Center is to apply business knowledge and advanced programming skills and analytics to serve as a subject matter expert, analyst, advisor and consultant to support model lifecycle - model development, performance testing, data analysis, model implementation, model production, delivery of model results, change management, documentation and governance.
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
- Enable decision making for product and marketing with broad impact and act as key participant to develop and document analytical models
- Collaborate and consult with regulators and auditors
- Present results of analysis and strategies
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- 8+ 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
- Bachelor's/master's degree in engineering field like computer science, Information technology, Electrical Engineering etc.
- M.Sc./M.Phil. in statistics/ economics/ mathematics/ operations research engineering physics
- 9 - 12 years of relevant hands-on experience in AI/ML model development and Implementation.
- Must have hands on exposure in Python, PySpark and SQL.
- Expert knowledge of libraries like sckit-learn, pandas, numpy, mllib, matplotlib, keras...
- Expert in data mining and statistical analysis.
- Experience in developing, implementing models.
- Statistical models - linear regression, logistic regression, time series analysis, multivariate statistical analysis
- Machine learning models - Random Forest, XGBoost, GBM, SVM...
- Exposure to deep learning framework - ANN, RNN, CNN, LSTM
- Excellent understanding of model metrics including AUC, ROC, F-statistics etc. with clear understanding of how model performance is tuned
- Experience in model deployment, User Acceptance Testing (UAT) and model monitoring.
- Hands on knowledge in one or more of Big Data skills - SQL, Aster, Teradata, Hadoop, SPARK, H20, BigQuery.
- Exposure to Google Cloud Platform
- Critical thinking and strong problem-solving skills.
- Ability to learn the business aspects quickly
- Knowledge of banking industry and products in at least one of the LOB such as credit cards, mortgage, deposits, loans or wealth management etc.is desirable
- Knowledge of functional area such as risk, marketing, operations or supply chain in banking industry is desirable.
- Ability to multi-task and prioritize between projects
- Ability to work independently and as part of a team
- Required to work individually or as part of a team on multiple data science projects and work closely with business partners across the organization. Mentor and coach budding Data Scientist on developing and implementing data science solutions.
- Perform various complex activities related to statistical/machine learning. Provide analytical support for developing, evaluating, implementing, monitoring and executing models across business verticals using emerging technologies including but not limited to Python, Spark, and H2O etc.
- Expert knowledge on working on large datasets using SQL and present conclusions to key stakeholders.
- Establish a consistent and collaborative framework with the business and act as a primary point of contact in delivering the solutions.
- Experience in building quick prototypes to check feasibility and value to business.
- Expert in developing and maintaining modular code-base for reusability
- Review and validate models and help improve the performance of the model under the preview of the banking regulations.
- Work closely with technology teams to deploy the models to production.
- Prepare detailed documentations for projects for both internal and external that complies regulatory and internal audit requirements
29 Nov 2024
*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.
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To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
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Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
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