Risk Management Associate

2 months ago


India RiskSpan Full time

About RiskSpan: 


RiskSpan offers cloud-native SaaS analytics for on-demand market risk, credit risk, pricing and trading. With our data science experts and technologists, we are the leader in data as a service and end-to-end solutions for loan-level data management and analytics.   

We 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. We focus on fostering a high-performance culture with work-life balance, one that develops a top-notch talent pool with the skills and determination to deliver above and beyond. 


Our mission is to be the most trusted and comprehensive source of data and analytics for loans and structured finance investments. Learn more at www.riskspan.com.  


Responsibilities


Develop & 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


Qualifications


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.



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