Risk Management Associate

Description

Risk Management AssociateAbout 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

Solution Development: Design and implement processes for risk management, data analysis, and financial modelling for Structured Products, Whole Loans, MSRs and Private Credit.

Model Analysis: Conduct in-depth reviews of prepayment and credit model outputs for different financial products and provide clear, practical interpretations.

Data Insights: Analyse large datasets, identifying trends and actionable insights for decision-making.

Client Onboarding & Success: Assist with client onboarding and deliver customized solutions tailored to their analytical needs and support.

Automation & Optimization: Enhance operational workflows by automating processes and improving system efficiency.

QualificationsMust 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 flexibilityLocation: Preferred Bangalore, IndiaRemote/Hybrid: 1 – 2 days in office