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Senior Quantitative Analytics Specialist

1 month ago

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

Wells Fargo is seeking a highly skilled Senior Quantitative Analytics Specialist to join our team.

This role involves performing complex activities related to creation, implementation, and documentation of quantitative models. You will use advanced statistical theory to quantify, analyze, and manage markets, forecast losses, and compute capital requirements.

As a Senior Quantitative Analytics Specialist, you will provide insights on a wide array of business initiatives and utilize structured securities to provide expertise on theory and mathematics behind the data.

You will also manage market, credit, and operational risks to forecast losses and compute capital requirements, participate in discussions related to analytical strategies, modeling, and forecasting methods, and identify structures to influence global assessments.

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:

  • A Senior Quantitative Analytics Specialist should have a deep academic knowledge, broad-based approach to solve business problems. He/she should approach the problem agnostic of analytic technique, tool, or process. Ability to think outside the box and provide ensemble solutions should set them apart to be a high-performing team member.

Essential Skills:

  • 4+ years of experience with minimum Masters/PhD in a quantitative field such as applied math, statistics, engineering, physics, or mathematical finance.
  • Performing mathematical model validation using Python, C++, R, and SQL or other programming languages and mathematical/statistical packages
  • Producing required documentation to substantiate model validation
  • Analyzing processes and work flows to make recommendations for process improvement in various risk management and/or business areas as well as participating in and leading model risk projects.
  • Strong mathematical, statistical, analytical, and computational skills
  • Strong communication skills for a variety of audiences (other technical staff, senior management, and regulators) both verbally and in writing
  • Capability to multi-task and finish work within strict timelines and provide timely requests for information and follow-up questions
  • Ability to work independently on complex model validations from start to finish
  • Able to demonstrate first-hand knowledge of advanced topics in various mathematical and numerical methods such as Monte Carlo, stochastic calculus, differential equations, linear algebra, applied probability, and statistics;
  • Skill in managing relationships with key model stakeholders
  • Eagerness to contribute collaboratively on projects and discussions
  • Perpetual interest in learning something new, but being comfortable with not knowing all the answers
  • Attention to detail in both analytics and documentation
  • Aptitude for synthesizing data to 'form a story' and align information to contrast/compare to industry perspective
  • Intellectually curious, who enjoy solving problems
  • Excellent programming skills and use of software packages such as C++, Python, R, SAS, and SQL
  • Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
  • Good interpersonal skills and ability to develop partnerships and collaborate with other business and functional areas