Quantitative Model Solutions Associate

2 weeks ago

Bengaluru, Karnataka, India Wells Fargo Full time

About this role:

Wells Fargo is seeking a Quantitative Model Solutions Associate

In this role, you will:

  • Participate in low complexity model maintenance and optimization initiatives related to operational processes, controls, reporting, testing, implementation, and documentation
  • Review basic data sets, quantitative models, and model output in support of lowrisk business opportunities
  • Receive direction from supervisor and exercise judgment within defined parameters while developing understanding of quantitative model operations
  • Provide information and data to managers and functional colleagues to help with model operations optimization, best practices, and model methodology processes
  • Assist peers, colleagues, and managers to resolve issues and achieve goals

Required Qualifications:

  • Overall experience around 2 to 3 years in similar role
  • Bachelor's degree or higher in a quantitative fields such as Computer Science, Applied mathematics, engineering, statistics, finance or econometrics from top tier institutes
  • Strong problem solving skills
  • Exposure to statistical and machine learning model development, implementation or ML Ops in risk or financial engineering.
  • 2+ years of advanced programming and debugging skills in Python OOP, packaging, build and deployment, data structures and algorithms, decorators, logging, exception handling, JIT compilers
  • Comfortable with Git, GitHub, CI/CD pipelines and UNIX commands
  • Excellent verbal, written, and interpersonal communication skills

Desired Qualifications:

  • Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities
  • Ability to research and report on a variety of issues using problem solving skills
  • Exposure to banking domain in Credit Risk area on Retail/Commercial portfolio

Job Expectations:

  • Perform activities related to predictive modeling process enhancements and Python conversions
  • Provide engineering and analytical solutions across model development, implementation, monitoring and production in a Big Data environment
  • Support implementation of python based solutions for real time and/or batch based Machine Learning scorecard models for consumer and commercial banking
  • Identify opportunities and deliver process improvements, standardization, rationalization and automations

Posting End Date:

28 May 2024

Job posting may come down early due to volume of applicants.

We Value Diversity


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.


Applicants with Disabilities

Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

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