Lead Quantitative Analytics Specialist

4 weeks ago

Bengaluru, Karnataka, India WELLS FARGO BANK Full time
About this role:

Wells Fargo is seeking a highly skilled Quantitative Analytics Specialist to join our team. As a key member of our Consumer Model Development Center, you will be responsible for delivering high-impact analytic and data science projects using advanced programming skills and analytics. Your primary role will be to apply business knowledge and technical expertise 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.

Key Responsibilities:
  • 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 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 a key participant to develop and document analytical models
  • Collaborate and consult with regulators and auditors
  • Present results of analysis and strategies

Requirements:
  • 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

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
  • 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 scikit-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

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