Quantitative Risk Management Professional
3 days ago
At RiskSpan, we offer cloud-native SaaS analytics for on-demand market risk, credit risk, pricing and trading. Our data science experts and technologists are leaders in data as a service and end-to-end solutions for loan-level data management and analytics.
About the RoleWe solve business problems for clients such as banks, mortgage-backed and asset-backed securities issuers, equity and fixed-income portfolio managers, servicers, and regulators that require our expertise in the market risk, credit risk, operational risk, and information technology domains.
Key Responsibilities- Maintain Risk Solutions: Design and implement code for Risk as a Service (RaaS), CECL, and Value at Risk (VaR) processes.
- Data Analysis & Insights: Analyze large datasets of risk metrics, extracting meaningful insights to inform decision-making.
- Model Output Analysis: Conduct in-depth analysis of model output drivers and provide clear, actionable explanations.
- Automation & Process Improvement: Work on automating data operations, fixing bugs, and enhancing batch processing jobs for client systems.
- Client Onboarding: Facilitate the onboarding of potential clients for CECL, VaR, and RaaS services.
To be successful in this role, you will need:
- Educational Background: A degree in a quantitative field such as Statistics, Mathematics, Applied Mathematics, Engineering, or a related discipline.
- Risk Analytics Knowledge: Familiarity with risk measures and analytics for structured products, options, interest rate derivatives, and fixed income securities is highly desirable.
- Technical Expertise: 2-4 years of experience in scripting and development using Python.
- Unix Proficiency: Strong working knowledge of the Unix environment for system-level operations.
- Communication Skills: Ability to effectively communicate complex ideas and methodologies to both internal stakeholders and external clients.
The estimated salary range for this position is $120,000 - $180,000 per year, depending on location and qualifications.
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