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23 Hinduja Leyland Finance Jobs

Lead - Model Developer

3-7 years

Chennai

1 vacancy

Lead - Model Developer

Hinduja Leyland Finance

posted 8d ago

Job Role Insights

Flexible timing

Job Description

Model Development:

  1. Design and Build Models:
  • Develop predictive and prescriptive models using machine learning, statistical, and AI techniques.
  • Focus on areas such as credit risk scoring, fraud detection, customer churn, marketing analytics, and portfolio optimization.
  1. Data Preparation and Analysis:
  • Collect, clean, and preprocess large datasets from multiple sources.
  • Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.
  1. Algorithm Selection and Implementation:
  • Select appropriate algorithms (e.g., regression, decision trees, neural networks, etc.) based on business requirements.
  • Implement models using programming languages like Python, R, or SAS.
  1. Model Deployment:
  • Collaborate with IT and business teams to deploy models into production systems.
  • Ensure models are scalable, efficient, and integrated with existing banking systems.
  1. Performance Monitoring:
  • Monitor model performance post-deployment and make necessary adjustments.
  • Develop dashboards and reports to track key metrics and outcomes.

Model Validation:

1. Independent Validation:

  • Conduct independent validation of models developed by other teams to ensure accuracy, robustness, and compliance with regulatory standards.
  • Assess model assumptions, methodologies, and data inputs.

2. Testing and Benchmarking:

  • Perform back-testing, stress-testing, and sensitivity analysis to evaluate model performance.
  • Compare model outputs with alternative approaches or benchmarks.

3. Documentation and Reporting:

  • Prepare detailed validation reports, including findings, recommendations, and risk assessments.
  • Ensure all models comply with internal policies and regulatory requirements (e.g., SR 11-7, Basel III).

4. Stakeholder Collaboration:

  • Work closely with model developers, risk managers, and auditors to address validation findings.
  • Provide guidance on model improvements and risk mitigation strategies.

Qualifications

Education:

  • Bachelor's/ Masters degree in Finance, Business Administration, Risk Management, Accounting, or related field.

Experience:

  • Preferably 4-8 years of experience in data science, model development, and validation, preferably in the banking or financial services industry.
  • Hands-on experience with machine learning, statistical modelling, and AI techniques.
  • Proven experience in managing a risk and control self-assessment program at the organizational level.
  • Familiarity with regulatory frameworks and risk management standards is a plus.

Technical Skills:

  • Proficiency in Microsoft Excel, PowerPoint, and risk management concepts & techniques.
  • Experience with risk management software, dashboards, or reporting tools is a plus.
  • Proficiency in programming languages such as Python, R, or SAS.
  • Strong knowledge of machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch).
  • Experience with big data tools (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) is a plus.
  • Familiarity with banking data systems and regulatory requirements.

Key Competencies

  • Proven ability to lead and drive change, taking full ownership of the RCSA process and ensuring its effectiveness.
  • Deep knowledge of operational risk management, aligning risk management practices with organizational goals.
  • Skilled in engaging stakeholders at all levels and effectively communicating risk assessments and recommendations.
  • Able to identify risks, evaluate controls, and make decisions to improve processes and mitigate risks.
  • Experienced in collaborating across teams and maintaining strong relationships with key business units.
  • Capable of adapting the RCSA process to address emerging risks and regulatory changes.
  • Experience with credit risk models, fraud detection models, or customer lifetime value (CLV) models



Employment Type: Full Time, Permanent

Read full job description

Prepare for Developer roles with real interview advice

Top Hinduja Leyland Finance Developer Interview Questions

Q1. What are the vendors available and how many are there?
Q2. What is the financial power given to you?
Q3. What is the DSCR/ FOIR you use?
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What people at Hinduja Leyland Finance are saying

Developer salary at Hinduja Leyland Finance

reported by 4 employees with 1-3 years exp.
₹3.5 L/yr - ₹5 L/yr
47% less than the average Developer Salary in India
View more details

What Hinduja Leyland Finance employees are saying about work life

based on 1.1k employees
53%
86%
57%
98%
Flexible timing
Monday to Saturday
Within city
Day Shift
View more insights

Hinduja Leyland Finance Benefits

Health Insurance
Job Training
Soft Skill Training
Work From Home
Team Outings
Free Transport +6 more
View more benefits

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