Lead - Acquisition & New Engagements, Partnerships Analytics

ABC - Aditya Birla Housing Finance Limited; Maharashtra; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

ABC - Aditya Birla Housing Finance Limited seeks a data analytics professional to review and develop statistical models, validate them, and deliver regular analytical requirements for credit and risk functions.

You will establish the Data and Analytics practices, lead a team, manage stakeholders, and collaborate with business units to enable data-driven decision making and support the growth of the housing finance business.

Qualifications

• Education in Quantitative Sciences, Statistics, Mathematics, Engineering etc
• Expert in coding in R, Python or SAS and any data visualization tool
• Strong interpersonal, leadership and communication skills

Responsibilities

• Review and develop statistical models, validate models, and deliver analytical requirements for credit and risk
• Establish data and analytics practices; enable data-driven decision making
• Stakeholder management and cross-team interactions; liaise with business teams
• Team building and mentoring in AI, ML & data programs
• Model deployment; knowledge of IT infrastructure

Skills

Interpersonal skills

Team leadership

Communication

Cross functional collaboration

Education

Quantitative sciences / Statistics / Mathematics / Engineering

Tools

R

Python

SAS

Data visualization tool

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.

• Establishing the Data and Analytics practices


• Team building and bonding


• 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

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

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

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.

Team management

• Building of skilled and effective teams in AI, ML & Data related programs


• Coach and mentor team members

Model/ strategy development and validation

• Statistical Model Development, Validation, and other Data Analysis

Model deployment

Good understanding of IT infrastructure

• Help in implementing the model


• Knowledge in Python, R, SAS programming language and cloud infrastructure