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Wells Fargo Sr Quantitative Analytics Specialist 
India, Karnataka, Bengaluru 
2066672

18.02.2025

About this role:


In this role, you will:

  • Perform highly complex activities related to creation, implementation, and documentation
  • Use highly complex statistical theory to quantify, analyze and manage markets
  • Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives
  • Utilize structured securities and provide expertise on theory and mathematics behind the data
  • Manage market, credit, and operational risks to forecast losses and compute capital requirements
  • Participate in the discussion related to analytical strategies, modeling and forecasting methods
  • Identify structure to influence global assessments, inclusive of technical, audit and market perspectives
  • Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills


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:

  • BS/BA degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis
  • Experience with NLP (Natural language processing), Large Language models (LLM), BERT, Llama, Gemini- pro, vertex AI
  • Experience with supervise , unsupervised & semi supervise learning
  • Experience with Deep-learning, Artificial intelligence techniques, Generative AI and Prompt engineering solutions.
  • Strong programing skill
  • Expertise in analytic tools : R, Python, Scala, Java
  • Big Data skills – Aster, Hadoop, SPARK, H20 and various big data distributions like Hortonworks and MapR
  • NLP, Text mining, Image/Voice processing, digital analytics, deep learning, machine learning
  • Strong collaboration skills
  • Output deployment using appropriate technologies (HTML5, Shiny, Django)
  • Working expertise in Tensorflow, Keras or Pytorch would be added advantage
  • Ability to translate analytical data into useful business information
  • 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.
  • Knowledge of functional area such as risk, marketing, operations or supply chain in banking industry.
  • Ability to multi-task and prioritize between projects
  • Ability to work independently and as part of a team
  • Data Engineering
    • Sql ,Teradata, Hadoop, Spark
  • Exploratory Data analysis
    • Provide exploratory data analysis using Python/R/SAS / SQL
    • Experience with Databases like oracle , Teradata, Sql server
    • Advance Excel skills
    • Data integration and clean up data for the usage
    • Experience with structured data and semi-structured text or Excel files
  • Business Intelligence
    • Tableau, Power BI, Shiny, Dash, HTML5
  • Business Analytics
    • Data mining and Insights
    • Trend Analysis, forecasting and pattern recognition
    • Find opportunities in the data and able to communicate to the partners
    • Consult with partners to define issues/information needs.
    • Present findings to multiple levels of management
    • Ensure that analyses are delivered on time, while surpassing partner expectations
    • Ensure partner transparency throughout the life of the project
    • Proactively seek opportunities to increase the value of analysis
    • Strong oral and written communication and consultative skills

Job Expectations

  • Person would be required to work individually or as part of a team on data science projects and work closely with business partners across the organization.
  • He/She would perform Data wrangling activities.
  • He/she would be developing statistical/machine learning models using various techniques (supervised, unsupervised, semi-supervised) and technologies including but not limited to SAS, R, Python, Spark, H2O, Aster etc.
  • Work closely with data engineers, BI and UI specialists and deliver top notch analytical solution for the bank.
  • Define business problem and translate it into analytical problem.

18 Feb 2025


Wells Fargo Recruitment and Hiring Requirements:

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