Modellor

Workila

Jersey City (NJ)

On-site

USD 80,000 - 100,000

Full time

14 days+

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Job summary

A leading analytics firm is seeking a candidate with strong model development skills to assist in creating and improving models for clients. The ideal applicant should have a Master's degree in a quantitative field, at least 4 years of experience, and proficiency in statistical techniques and analytical tools like SAS and SQL. The role involves working closely with business stakeholders and requires excellent communication skills. A competitive salary of $80,000 to $100,000 is offered for this position based in Jersey City, NJ.

Qualifications

  • Minimum 4 years of experience in analytical modeling and business analysis.
  • Expertise in predictive modeling techniques and data handling.
  • Strong communication skills for stakeholder engagement.

Responsibilities

  • Develop models and document requirements as per client’s schedule.
  • Research and apply statistical techniques to enhance models.
  • Provide training and support for team members.

Skills

Model development
Statistical analysis
Machine Learning techniques
Data presentation
Time management
Communication

Education

Master's degree in Statistics, Economics, Engineering, Finance, Mathematics

Tools

SAS
SQL
R
SPSS

Job description

Job Description
  • Develop Models for client as per the agreed upon schedule
  • Document modeling requirements based on discussions and information provided by client modeling lead/business users
  • Develop models based on the model requirements definition , per the agreed upon schedule with client
  • Improve existing models, per the agreed upon schedule with client
  • Assist in implementation support based on schedule agreed with client.
Role Requirement
  • Should have built 2-3 risk/marketing models end to end
  • Understand the statistical concepts of variable imputation, variable reduction, multi-colinearity, bootstrapping etc.
  • Researching and applying new statistical techniques to improve predictive power of models
  • Develop and maintain a relationship with business stakeholders
  • Business Problem Solutions with Value addition to impact client businesses
  • Contributions to Strategic Initiatives within Analytics practice
  • Ensure the business operations run smoothly in the shop
  • Keeping on track to meet the monthly budgets and targets
  • Provide training for staff and new recruitments
  • Ability to work independently with minimum instructions
  • Track updates on various business projects
  • Carry out Revenue and Profitability analysis
  • Prepare review decks and management decks
  • New capacity development and capacity management initiatives
  • Provide business case support, analysis and recommendation for key opportunities
  • Analyze data and make presentations to support decision-making
Industry experience
  • Banking domain is a must
  • Experience on working with Machine Learning techniques (Support Vector Machines, Genetic Algorithms, Random Forests, K-Nearest Neighbor algorithm, Principal Component analysis etc.)
  • Minimum 3 years of experience in building models (data cleaning, dependent variable selection, independent variable study and understanding, variable reduction, bivariate analysis, variables grouping, logistic/linear model build, model validation, KS/Lift study/PSI etc.)
Education / Tool experience
  • Master's degree in Statistics, Economics, Engineering, Finance, Mathematics, or a related quantitative field from tier 1 colleges
  • Sound Knowledge of SAS, SQL and other analytical tools (R, SPSS)
  • Knowledge of MS Access, SQL & Visual Basic will be an advantage
  • Time management skills to ensure internal/external expectations are met
  • Exhibit an outstanding ability to communicate
OTHER IMPORTANT INFORMATION

EXPERIENCE – Min 4 years

BUDGET – 80-100K US $

NO POACH COMPANIES- None

INTERVIEW PROCESS- 2 Telephonic rounds + Face to face round

MANDATORY INFORMATION REQUIRED WHILE UPLOADING THE PROFILE (Pls note that without these details the profile will not be submitted to the client )
  • Candidate Name
  • Current Location
  • preferred Location
  • Companies worked for
  • VISA Status
  • Total experience
  • Email Address
Additional Information

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