Wells Fargo Senior Quantitative Analytics Specialist 

India, Karnataka, Bengaluru 

691768303

In this role, you will:

• Perform highly complex activities related to model development, implementation, and documentation

• 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

• Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills

Required Qualifications:

• 5 - 8 years of relevant hands-on experience in AI/ML model development and Implementation

• Bachelor’s/master’s degree in engineering field like computer science, Information technology, Electrical Engineering etc

• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Desired Qualifications:

• 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

30 Aug 2024

Wells Fargo Recruitment and Hiring Requirements:

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.