Credit and Risk Analyst

Dmi Finance; Delhi; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

DMI Finance Pvt. Ltd. seeks a Manager/Senior Manager Credit Risk to lead data analytics, model validation, policy formulation, and portfolio management for secured and unsecured consumer lending portfolios.

You will work with cross-functional teams to drive risk controls and ensure policy guidelines are implemented in origination systems and decisioning platforms, aiming to balance risk and growth.

Qualifications

• Minimum Qualification: Bachelor of Engineering/ Postgraduate in Finance/Statistics/Data (with knowledge of Statistics and Python/R)
• Preferred Qualification: MS/ MBA (with knowledge of Statistics and Python/R)
• 3-7 years of experience in Risk Management
• Experience in unsecured lending; good to have secured lending

Responsibilities

• Data Analytics: Analyze data to identify high risk segments to limit and decrease loss rates.
• Model Validation: Build/Validate statistical scoring models for secured & unsecured lending portfolios.
• Policy formulation: Develop new policies for EV financing, retail, DCO, fleet, and leasing programs.
• Portfolio Management: Evaluate portfolio performance and benchmark to industry standards.
• Loss Management: Monitor and forecast loss for CL & PL portfolios.
• Stakeholder Management: Interact with cross-functional teams and drive credit policy implementation.

Skills

Data analytics

Python/R

SQL

Excel (Pivot)

Stakeholder mgmt

Credit risk

Education

Bachelor of Engineering / Finance / Statistics / Data (UG/PG)

MS / MBA (preferred)

Tools

Python

R

SQL

Excel

Job description

JOB DESCRIPTION

Role Title Manager/Senior Manager Credit Risk

Reports To Vice Present - Credit & Policy Consumer Finance

Company DMI Finance Pvt. Ltd.

Function/ Department Credit Policy

JOB PURPOSE

Incumbent will be handling Secured (EV Financing) & Unsecured Loan-Risk & Policy for 1 or more Consumption and Personal loans portfolios. Incumbent is also expected to help maintain minimum loss rates for Loan portfolios and at the same time figure out opportunities to increase portfolio size.

PRINCIPAL ACCOUNTABILITIES

(Accountabilities associated with the job)

• Data Analytics
• Analyze data to identify high risk segments to limit and decrease loss rates.
• Perform exploratory data analysis to identify interesting data trend/ insights.
• Carry out deep dive analysis on data to identify cross-sell or product bundling opportunity.

• Model Validation
• Build/Validate statistical scoring models on Secured & Unsecured lending portfolios that would aid in customer segmentation.

• Policy formulation
• Develop new policies for new partners and channels for EV financing of retail, DCO, fleet, and leasing programs.
• Review and update policies for existing partners in case of any change.
• Work with tech team to design test and implementation for any changes (partner related or regulatory) in policies.

• Portfolio Management
• Constantly evaluate portfolio performance.
• Benchmark to Industry Standards.

Loss Management

• Monitor CL & PL portfolio on a daily/weekly basis for any increase in risk (loss rates)
• Forecast loss for CL & PL portfolios

Stakeholder Management

• Interacting with cross functional teams and driving the credit policy agenda and ensuring correct implementation of credit policy guidelines in origination system and decisioning platforms
• Lead discussions with external stakeholders/ channel partners during engagement calls

MAJOR CHALLENGES

• Steep learning curve in terms of job skills as well as stakeholder management
• Minimizing Loss rates within pre-determined range
• Scorecard/ Model validation, Value analysis of various third party scorecards
• Data preparation and data cleaning for data analytics
• Maintain a balance between approval rates and delinquency rates

DECISIONS

• Whether to have an increased approval rates at the risk on increased delinquency rates
• Escalation related to partner level with respect to portfolio quality.

DIMENSIONS

(Key numerical data which will reflect the scope and scale of activities concerning this job)

SKILLS AND KNOWLEDGE

Educational Qualifications

a) Qualifications

b) Work Experience

• Minimum Qualification: Bachelor of Engineering/ Postgraduate in Finance/Statistics/Data (with knowledge of Statistics and Python/R)
• Preferred Qualification: MS/ MBA (with knowledge of Statistics and Python/R)

• 3-7 years
• Experience in Risk Management.
• Experience in unsecured lending
• Good to have experience in secured lending
• Skills: R/Python, SQL , Advanced Excel including Pivot Tables