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3 ProEx Labs Jobs

Specialist - Model Development & Validation/Risk Modelling (4-7 yrs)

4-7 years

Specialist - Model Development & Validation/Risk Modelling (4-7 yrs)

ProEx Labs

posted 1mon ago

Job Role Insights

Flexible timing

Job Description

Model Developer - Risk Modelling


We are seeking a skilled Model Development and Validation Specialist to join out client. This role involves developing, validating, and implementing quantitative models to support decision-making processes across various business units. The ideal candidate will have a strong background in statistical modeling, data analysis, and risk assessment.

Key Responsibilities:

Model Development:

- Design and implement statistical models for forecasting, risk assessment, and performance evaluation.

- End-to-end model development including segmentation, model design, variable reduction technique, model selection and model performance.

- Collaborate with cross-functional teams to identify modeling needs and objectives.

Model Validation:

- Conduct thorough validation of existing models to ensure accuracy, reliability, and compliance with regulatory standards.

- Perform back-testing and stress testing of models to assess their robustness.

Model Risk Management/Model Governance:

- Model Risk Policy & Governance; regulatory interpretation and compliance; regulatory submissions.

- Credit risk; capital models; model life-cycle management, financial crime risk; economic research.

- Basel 3.1, SS 1/23, EBA IRB Repair, Capital Requirements Regulation 2013, PRA Rulebook, etc.

Continuous Improvement:

- Monitor model performance and make necessary adjustments based on emerging trends and data.

- Stay updated on industry best practices and regulatory requirements related to model risk management.

Qualifications:

- Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field; master's preferred.

- Proven experience in model development or validation in Banking sector for retail risk space. (scorecard model development/validation experience preferred)

- Mandatory hands-on in SQL, with experience in SAS (preferred), Python, R.

- Familiarity with machine learning techniques and statistical analysis tools.

- Excellent analytical, problem-solving, and communication skills.

- Ability to work collaboratively in a team-oriented environment.


Functional Areas: Software/Testing/Networking

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Free Transport
Child care
Gymnasium
Cafeteria
Work From Home
Free Food +6 more
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