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Wells Fargo Senior Quantitative Analytics Specialist 
India, Karnataka, Bengaluru 
691768303

18.08.2024





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.