Risk Management Associate

AI overview

Contribute to the development of innovative analytics solutions for market and credit risk while supporting clients with customized data insights and operational efficiencies.
Risk Management Associate
About RiskSpan: 
We are a leading provider of innovative analytics solutions, delivering on-demand insights for market risk, credit risk, pricing, and trading. Our cloud-native technology, combined with expertise in data management and analytics, empowers clients across industries to make informed decisions.
Our solutions cater to organizations such as banks, asset-backed securities issuers, portfolio managers, servicers, and regulators, addressing their needs in risk management, data analytics, and operational efficiency. We foster a collaborative and performance-driven culture that values work-life balance and professional development.
Our mission is to be the most trusted source of data and analytics for informed decision-making across financial investments and risk management.
Responsibilities
  1. Solution Development: Design and implement processes for risk management, data analysis, and financial modelling for Structured Products, Whole Loans, MSRs and Private Credit.
  2. Model Analysis: Conduct in-depth reviews of prepayment and credit model outputs for different financial products and provide clear, practical interpretations.
  3. Data Insights: Analyse large datasets, identifying trends and actionable insights for decision-making.
  4. Client Onboarding & Success: Assist with client onboarding and deliver customized solutions tailored to their analytical needs and support.
  5. Automation & Optimization: Enhance operational workflows by automating processes and improving system efficiency.
Qualifications
Must Have:
  • Educational Background: Bachelor’s or Master’s degree in Statistics, Mathematics, Engineering, Finance, or a related quantitative field.
  • Technical Expertise: 2–4 years of hands-on experience in Python scripting and development.
  • System Proficiency: Strong understanding of Unix/Linux-based systems, including command-line operations and process management.
  • Domain Knowledge: Experience working on projects involving Structured Products ( CMBS, RMBS, CLOs, and CDOs ) or Mortgages loan 
Good to Have:
  • Domain Knowledge: Familiarity with Fixed Income, Financial modelling and Risk management, Structured products and US mortgage market.
  • Certifications: CFA/FRM charter holders or candidates pursuing these certifications.
 
Work timings: 12:00 PM IST (2:30 AM ET)– 9:00 PM IST (11:30 ET) – need flexibility
Location: Preferred Bangalore, India
Remote/Hybrid: 1 – 2 days in office
 
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