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Risk Analyst
3 months ago
Location:
Pune or Mumbai, India (3 days onsite per week)Initiative:
Scenario Model Migration De-riskingStart Date:
August 2024Day Rate:
Market Competitive
Job Opportunities: Python Developer and R Developer focusing on Risk Analysis
Paritas is excited to announce multiple vacancies for talented professionals on behalf of a global leader in next-generation digital services and consulting. We are seeking skilled Python Developers and R Developers to join their team and contribute to the Scenario Model Migration De-riskings initiative of one of their tier 1 banking clients.
NOTE - Initial 4 month FTE with high likely hood of being increased by a further 6 months.
Role 1 - Python Developer (Risk Analyst)
Description:
As a Python Developer, you will support the acceleration of decommissioning the CS ProPl platform and mitigate concentration risk for several models as part of the Risk Models Integration roadmap. Your role will involve handling the migration and de-risking of scenario models, ensuring seamless integration and high-quality deliverables.
Key Responsibilities:Migrate and de-risk scenario models using Python.Collaborate with cross-functional teams to ensure successful project delivery.Ensure seamless integration and user-friendly interfaces.Ideal Candidate:Proficient in Python with experience in model migration and risk management.Strong problem-solving skills and attention to detail.Ability to work collaboratively in a fast-paced environment.
Role 2 - Credit Risk Analyst / R Developer
Description:
As a Credit Risk Analyst/R Developer, you will focus on the migration and de-risking of ECAP credit risk models. This includes preparing UAT environments, synchronizing production with Risklab, setting up automated checks, and extending documentation to improve system stability and reduce risk.
Key Responsibilities:Migrate and de-risk ECAP credit risk models using Python and R.Prepare UAT environments and synchronize production with Risklab.Implement automated checks and enhance system documentation.
Ideal Candidate:Proficient in Python and R with experience in credit risk model migration.Detail-oriented with strong analytical skills.Capable of collaborating with cross-functional teams and implementing automated checks.
If any of the two above roles sound of interest then don't hesitate to get in touch now
