Assistant Manager, Quantitative Modeling in Bengaluru at Ocwen Financial Corporation

Date Posted: 3/11/2020

Job Snapshot

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Job Description



•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, Matlab as 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 


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



• Bachelor’s degree /Master’s degree in Mathematics / Computer Science/ Electrical/ Statistics / Operations Research or similar quantitative fields from reputed & top tier colleges (or equivalent relevant work experience)
• Work Experience of 0-4 years
• Hands on knowledge of statistical modeling tool - R, Python & MATLAB (used occasionally)
• Basic understanding of web development
• Understanding of Linux and command line
• Having experience in querying big data platforms
• Understanding of SQL and NoSQL Database
• Has some prior experience in applying different models like Logistic regression, Linear Discriminant Analysis, Tree Classification, Random Forest
• Have prior experience in working on R Programming, Machine Learning, Predictive Analytics, Statistical Analysis
• 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


12pm to 9pm

Ocwen is intensely focused on hiring, developing and retaining the best talent in the industry! Our commitment to Diversity & Inclusion ensures that we are an organization that creates, promotes and sustains an inclusive work environment in which diversity, inclusiveness and respect are integral parts of our culture and work environment. Building the reputation as an outstanding place to work, a great business partner and a valued community member is our everyday endeavor.

Ocwen’s mission is to delight our customers through caring service and innovative lending solutions. We proudly serve over 1.3 million families with their mortgage needs by helping to find real solutions that benefit our customers and help to build stronger communities. Helping Homeowners is What We Do!®

Consider an opportunity to join our global team and put “Caring in Action” while growing your career.

Ocwen is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Primary Location: IN-KA-Bangalore
Work Locations:
Bangalore Pritech 2 (PTECH-2)
Pritech SEZ Park, Block Number 12
5th Floor B Wing and 6th Floor A WingBellandur Village, Sarjapur Marathahalli Ring Road
Bangalore, 560103

Job: Risk Management
Organization: India Business Unit
Schedule: Regular
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