Job Description:
Role Summary/Purpose:
As a member of Credit Models team, you would be managing the models through their lifecycle, i.e. from initiation to retirement. You will be exposed to activities ranging from (but not limiting to) model development, evaluation, validation, monitoring, implementation testing and documentation. You will have an opportunity to learn industry best practices in credit models’ development and will also be working on experimental models using machine learning techniques. You will also own the models and be a SPOC for all assessment by Risk Management team.
Essential Responsibilities:
Credit risk model development using traditional logistic regression and machine learning techniques
Validation and monitoring of internal and external credit models by computing standard metrics
Detailed documentation of the model development activity for review from Risk Management
Challenging the existing procedures to bring in more efficiency to the model development process
Preparing project presentations for review of Senior Management
Evaluate various business problems across credit function and proposing model-based solutions
Mentoring the junior members in the team for day-to-day activities
Work closely with client/portfolio teams to understand changes in model performance
Work on multiple projects and perform other duties and/or special projects as assigned.
Provide analytic support on key business initiatives and develop a strong working knowledge of the data warehouse and applicable analytic data systems.
Work independently with stakeholders and propose insights for decision making.
Regular work hours : 2 PM IST to 11 PM IST
Qualifications/Requirements:
Master’s /Bachelor’s Degree in Mathematics/Statistics, Operations Research, Economics, Computer Science/Engineering.
Minimum 4+ years- experience in Consumer Credit.
Must have at least 4 years of hands on experience in building credit models using SAS or Python or R.
Working knowledge of Logistical/Linear/Regressions CHAID/CART/Clustering techniques.
Experience working in Hadoop and Bigdata environments. Possess strong coding skills in Python and Pyspark.
Ability to decipher complex data and effectively present and communicate in a clear and concise manner
Strong written/oral communication skills and ability to manage multiple projects simultaneously
For Internal Applicants: Understand the criteria or mandatory skills required for the role, before applying.
Inform your Manager or HRM before applying for any role on Workday.
Ensure that your Professional Profile is updated (fields such as Education, Prior experience, Other skills) and it is mandatory to upload your updated resume (Word or PDF format)
Must not be any corrective action plan (First Formal/Final Formal, PIP)
Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible
8+ Level employees can apply
Desired Characteristics:
Working knowledge of credit bureau data
Work experience in a US financial institution or bank
Development of identity theft and transaction fraud detection models
Systems Implementation experience
Grade/Level: 09
Job Family Group:
Risk Management