un jobs

By | June 20, 2022

un jobs

un jobs

un jobs

un jobs

Data Scientist/ Quantitative Analyst

  • The incumbent will be in charge of upkeep, re-calibration, development, and deployment of new predictive and prescriptive models.
  • The incumbent will use their analytical, statistical, and programming talents to collect, analyze, and understand huge amounts of data in order to give insights and data-driven solutions to tough and strategic business challenges.

Responsibilities and Duties
Modeling Predictive

  • Manage various parts of existing scorecards/models.
  • Maintain and update existing scorecards and/or predictive models.
  • Create new prediction models.
  • Advanced data analytics and mining techniques are used to analyze data, analyzing data validity and usability; data results are reviewed to verify the accuracy, and results and insights are communicated to stakeholders.
  • Identifies data trends, patterns, correlations, and discrepancies and determines what further data is required to support insight. Processes purify and validate data for analysis.
  • Identifying, interpreting, and explaining the reasons that lead to particular business outcomes.
  • Forecasting and predicting likely future business results.
  • Identifying essential business operations aspects to modify, eliminate, or introduce in order to improve business outcomes.
  • Create, maintain, and improve advanced mathematical and statistical models for many elements of the business.
  • Apply supervised and unsupervised learning techniques to a variety of situations.
  • Modeling, both predictive and prescriptive.
  • Solving difficult analytical difficulties for the company.
  • Creates predictive solutions by applying diverse mathematical, statistical, and simulation techniques to big and unstructured data sets in order to answer crucial business problems and enhance business outcomes.
  • Using various tools, use data profiling and visualization strategies to analyze and explain data features that will guide modeling approaches.
  • Data is mined utilizing cutting-edge techniques. Improves data gathering techniques by including information useful for constructing data models.
  • Performs data pre-processing tasks such as data modification, transformation, normalization, standardization, visualization, and the development of new variables/features.
  • Create and communicate business insights.
  • Maintain and improve prediction models that are already in use.
  • Analyze business needs/problems by identifying, defining, and translating them into analytical questions.
  • Use statistical and computational approaches to generate actionable insights and discover opportunities to maximize Gross Profit.
  • Assist in the creation of scalable, efficient, and automated methods for large-scale data analytics, as well as model development, validation, and implementation.


Work Experience and Experience

  • Bachelor’s degree with honors in mathematics, statistics, or actuarial science.
  • Experience of 4+ years

Technical Skills Required

  • SAS (Base, Enterprise Guide, and Enterprise Miner)
  • Excel benefits from Python R

Behavioral Skills Required

  • Thinking outside the box
  • Making a decision and taking action
  • Using knowledge and technology
  • Analyzing
  • Creating outcomes and exceeding consumer expectations
  • Managing stress and setbacks
  • Collaboration with others
  • Observing principles and values
  • Relationships and networking
  • Persuasion and influence
  • Organizing and planning
  • Change adaptation and response

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