Designation: NA
Location: India Maharashtra 10thflr R-Tech Prk Goregaon E
Organization: Financial Services
Job Description:
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
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Establishing the Data and Analytics practices
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Team building and bonding
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Enable data driven decision making culture
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Stakeholder management and Cross team interactions
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Handle first level of escalation
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Liaise with business team and work for business goal
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Thorough understanding of housing finance business and collections lifecycle
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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
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Asking right questions
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Find the answers through data
Ability to work with multiple data sources
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Handle data in various formats easily, including both structured and unstructured data Guide the company towards becoming a data driven organization
Collaborate with internal stakeholders
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Proactively build and maintain relationships with key internal stakeholders for smooth cross-functional coordination and alignment towards achievement of business objectives
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Strong cross functional engagements including support functions like IT, etc.
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Validate, interpret, and create reports and presentations for departmental heads/management, and relevant stakeholders.
Team management
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Building of skilled and effective teams in AI, ML & Data related programs
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Coach and mentor team members
Model/ strategy development and validation
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Statistical Model Development, Validation, and other Data Analysis
Model deployment
Good understanding of IT infrastructure
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Help in implementing the model
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Knowledge in Python, R, SAS programming language and cloud infrastructure