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 Qualifications:
- 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
- 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
Job Expectations:
- 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
13 Mar 2025
Wells Fargo Recruitment and Hiring Requirements:
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.