10 hours ago

Model Developer Senior Analyst - Structured Finance

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Build and deploy production-quality quantitative tools, scripts, dashboards, and integrations that support credit analysts and researchers across ABS, RMBS, CMBS, and structured credit. Use C++, Python, R, and SQL to analyze structured finance securitization datasets, produce validation-ready outputs, and integrate models into reliable applications. Collaborate with SMEs on specifications and validation feedback, mentor junior developers, troubleshoot technical issues, and help improve existing modeling tools and processes.

Location: Mumbai

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Director level

Key Responsibilities

•Develop, maintain, and deploy user-focused quantitative tools, scripts, and dashboards following SME specifications.
•Integrate models, data, and visualizations into reliable applications supporting day-to-day analytical workflows.
•Analyze and synthesize datasets to produce actionable, validation-ready outputs focused on structured finance securitizations.
•Create development documentation, test cases, and specifications; collaborate with Model and Criteria Validation to address feedback.
•Troubleshoot non-routine technical issues, escalate complex matters to senior SMEs, and coach junior developers on technical tasks and best practices.

Pay and Benefits

Perks:Health InsuranceRetirementLearning BudgetWellness Stipend

Key Requirements

•Typically 3–5+ years of experience in quantitative modeling or software development supporting financial analysis.
•Bachelor’s degree in Finance, Financial Engineering, Statistics, Quantitative Finance, Computer Science, Mathematics, Economics, or a related field.
•Hands-on C++ experience as a core requirement.
•Proficiency in Python and R (R Shiny preferred) plus solid SQL skills and familiarity with relational databases.
•Experience delivering reliable scripts, tools, or dashboards into production-like environments.

Experience:Structured finance securitizationsCredit risk modelingCapital markets

Education:Bachelor's

Skills:Technical rigorCross-functional collaborationWritten and verbal communicationMentoring junior developers

Tech Stack:C++PythonRSQLR ShinyDashboardsRelational databases

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

S&P Global

Provides financial information, analytics, benchmarks, and credit ratings to markets and institutions worldwide, offering data, research, indices, and risk assessment tools across the financial services and commodities sectors.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 1917

Website LinkedIn

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S&P Global

10 hours ago

Model Developer Senior Analyst - Structured Finance

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Location: Mumbai

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Director level

Key Responsibilities

•Develop, maintain, and deploy user-focused quantitative tools, scripts, and dashboards following SME specifications.
•Integrate models, data, and visualizations into reliable applications supporting day-to-day analytical workflows.
•Analyze and synthesize datasets to produce actionable, validation-ready outputs focused on structured finance securitizations.
•Create development documentation, test cases, and specifications; collaborate with Model and Criteria Validation to address feedback.
•Troubleshoot non-routine technical issues, escalate complex matters to senior SMEs, and coach junior developers on technical tasks and best practices.

Pay and Benefits

Perks:Health InsuranceRetirementLearning BudgetWellness Stipend

Key Requirements

•Typically 3–5+ years of experience in quantitative modeling or software development supporting financial analysis.
•Bachelor’s degree in Finance, Financial Engineering, Statistics, Quantitative Finance, Computer Science, Mathematics, Economics, or a related field.
•Hands-on C++ experience as a core requirement.
•Proficiency in Python and R (R Shiny preferred) plus solid SQL skills and familiarity with relational databases.
•Experience delivering reliable scripts, tools, or dashboards into production-like environments.

Experience:Structured finance securitizationsCredit risk modelingCapital markets

Education:Bachelor's

Skills:Technical rigorCross-functional collaborationWritten and verbal communicationMentoring junior developers

Tech Stack:C++PythonRSQLR ShinyDashboardsRelational databases

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

S&P Global

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 1917

Website LinkedIn