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    Job · 15682750

    Wells Fargo logo

    Quantitative Model Solutions Specialist

    Wells Fargo · Hyderabad · onsite · Posted 47d ago

    Undisclosed2–7 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Job Summary
    About this role: Wells Fargo is seeking a Quantitative Model Solutions Specialist
    Responsibilities
    • Participate in or help entry-level positions with low to moderately complex model maintenance and optimization initiatives related to operational processes, controls, reporting, testing, implementation, and documentation
    • Analyze basic data sets, quantitative models, and model output to validate model efficiency and results in support of business opportunities
    • Provide design thinking and best practices to resolve basic model optimization methodology and processes
    • Present recommendations to leadership for resolving low to moderately complex situations by exercising independent judgment while developing expertise in quantitative model operations
    • Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals
    Required Qualifications
    • 2+ years of quantitative model solutions or quantitative model operations experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
    Desired Qualifications
    • 2+ years of experience in working on database management and/or implementation of models/strategies with a strong understanding of the business
    • Exposure to working in Big Data Platforms like Hive, Spark, Hadoop, Cloudera, AWS, and so on.
    • Bachelors degree in engineering in any field
    • Proficient in Python or R
    • Proficient in Tableau, Power BI, or any of business intelligence tools
    • Experience in producing high quality technical documentation with tools such as Excel, Word, and PowerPoint
    • Excellent verbal and communication skills
    • Advanced degree in statistics, finance, math, engineering or similar quantitative disciplines
    • Good Python skills in performing complex data manipulation and modelling in Python
    • Excellent analytical ability in interpreting data, analytical results to draw insights to develop credit scoring models and help business manage the credit risk effectively
    • Familiarity with U.S based Bureau Data
    • Excellent problem-solving skills and ability to connect dots, see big picture and find solutions and articulate in a clear manner
    • Understanding of process, methodologies used in credit scoring model development, implementation, validation, and monitoring
    • Ability to effectively manage multiple assignments with challenging timelines
    • Experience in statistical modelling techniques
    • Strong writing skills necessary for the review of highly detailed model documentation and reporting
    • Flexibility and ability to thrive in a fast-paced, rapidly changing, highly complex environment
    • Work on data management across all portfolios required for modelling purposes
    • Creating dashboards for reporting and controls purposes
    • Coordinating the various activities related to business analysis and modelling
    • Work on implementation of models doing UAT, and post implementation validation
    • Develop methods to enhance the existing process to add efficiency, transparency and consistency while maintaining quality and responsiveness standards
    • Trouble-shoot issues and pro-actively enact solutions in real time

    Sourced from naukri

    Skills

    Credit Scoringdata manipulationamazon web servicesArticulatedesign thinkingclouderaBusiness AnalysisDatabase Managementcredit riskCommunication SkillsData ManagementcomplianceCustomer RelationshipsfinanceBusiness IntelligenceBig Data

    About Wells Fargo

    Wells Fargo logo

    Wells Fargo

    Financial Services

    20k+

    employees

    1852

    174 years old

    Bengaluru/Bangalore, Karnataka

    India

    About

    Wells Fargo works to create positive social impact in the communities it serves by supporting housing affordability, small business growth, financial health, and a low-carbon economy.

    Industries

    Financial Services

    Employee ratings

    8,681 reviews

    3.6/ 5

    Culture

    3.5

    Career growth

    2.9

    Work-life

    3.8

    Employees rate it well for

    Work Life Balance1417Work Culture906Senior Management755Salary707Job Security510

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