Key Highlights:
- This role will offer exposure to the complete cycle of risk modeling (model development, model deployment and model monitoring) for driving data backed decisioning for customers
- Incumbent will develop statistical and financial models using various software languages like, R, python, Matlabas well as SQL databases.
- The employee will be part of projects involving analysis of customer data to identify emerging trends in mortgage industry, recommend process/logic change to drive efficiency and enhance customer experience
Responsibilities:
End to End development of statistical & predictive models to assist senior management decisions - includes:
- Gathering and Understanding the business requirements
- Gathering,cleaning and conducting exploratory analyses on input data
- Accurately Coding the right logic, training and testing the models
- Communicate the result of analysis/outputs
- Creating expository presentations of the model outputs
- Model maintenance & refreshes & validations
- Model Documentation
- Ad-hoc Analytical Analyses as per Business requirement
- Keen focus on automation of repetitive work
- Regular communication with Various stakeholders on the projects
Qualifications:
- A quantitative background for conducting analysis that result in data-driven recommendation for business
- Bachelor's degree /Master's degree in Mathematics / Statistics / Operations Research or similar quantitative fields from reputed & top tier colleges (or equivalent relevant work experience)
- Has prior experience in applying different models like Logistic regression, Linear Discriminant Analysis, Quadratic Discriminant Analysis, Tree Classification, Random Forest
- Having experience in querying big data platforms
- Have prior experience in working on R Programming, Machine Learning, Predictive Analytics, Statistical Analysis
- Hands on knowledge of statistical modeling tool - R, Python &MATLAB (occasionally)
- Advanced Knowledge of MS-Excel and SQL
- Candidates should have ability to proactively propose, initiate, take ownership and execute the project to create business impact
- Strong Analytical thought process and ability to synthesize and interpret findings
- Good knowledge of latest analytical practices in the industry
- Follow the audit process, documentation and accuracy guidelines
- Strong Written/Oral communication skills
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