Job Purpose:
Responsible to review and development of statistical model, validate the model and other data analysis and to deliver regular analytical requirement seamlessly specifically for credit and risk functions.
Key Challenges
- Establishing the Data and Analytics practices
- Team building and bonding
- Enable data driven decision making culture
- Stakeholder management and Cross team interactions
- Handle first level of escalation
- Liaise with business team and work for business goal
- Thorough understanding of housing finance business and collections lifecycle
- Help the business partners to grow the business
Enabling Skill Sets & Qualifications
Education in Quantitative Sciences, Statistics, Mathematics, Engineering etc
Strong Interpersonal Skills, Team player, Leadership skills, excellent written & verbal communication skill etc. Expert in coding skill in R, Python or SAS and any data visualization tool,
KRA's -
Key Result Areas (Max 1325 Characters) | Supporting Actions (Max 1325 Characters) |
Understanding the challenges faced by the business and translate that into a data problem | - Asking right questions
- Find the answers through data
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Ability to work with multiple data sources | - Handle data in various formats easily, including both structured and unstructured data Guide the company towards becoming a data driven organization
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Collaborate with internal stakeholders | - Proactively build and maintain relationships with key internal stakeholders for smooth cross-functional coordination and alignment towards achievement of business objectives
- Strong cross functional engagements including support functions like IT, etc.
- Validate, interpret, and create reports and presentations for departmental heads/management, and relevant stakeholders.
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Team management | - Building of skilled and effective teams in AI, ML & Data related programs
- Coach and mentor team members
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Model/ strategy development and validation | - Statistical Model Development, Validation, and other Data Analysis
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Model deployment Good understanding of IT infrastructure | - Help in implementing the model
- Knowledge in Python, R, SAS programming language and cloud infrastructure
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