Structured Products

Structured Products Developer Jobs

2 jobs found

3d ago

Quantitative Data Engineer - Fixed Income and Mortgages

Selby Jennings New York, NY

New York, NY

3d ago

$350k - $450k/yr Full time 3d Design Tools Big Data Bigdata

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Job Description

This hands-on Quantitative Data Engineering role supports end-to-end data workflows for loan-level and structured credit modeling, with a focus on building scalable pipelines and production-ready datasets used in quantitative investment and risk analytics.

Responsibilities

Design and maintain large-scale data pipelines for credit, mortgage, and structured product analytics.
Develop and optimize loan-level feature engineering workflows and model input datasets.
Create reproducible data processing frameworks that support research, validation, and production deployment.
Collaborate with quantitative researchers to implement new features, validate methodologies, and improve model performance.
Partner with engineering teams to productionize research outputs and enhance platform scalability and reliability.
Support ad hoc quantitative analysis and investigate portfolio, collateral, and performance datasets.

Requirements

Strong Python development experience, including production-quality code, testing, packaging, and code review practices.
Deep experience with distributed data processing using Spark and PySpark, including optimization of joins, partitioning, caching, skew management, and execution performance.
Advanced SQL skills, including querying large columnar data warehouses such as Snowflake, Redshift, BigQuery, Vertica, or similar platforms.
Experience building analytical datasets and feature engineering workflows for machine learning, statistical modeling, or quantitative research.
Strong understanding of reproducible data pipelines, experiment tracking, artifact management, and version-controlled development.
Experience working in shared engineering environments using Git, automated testing, and CI/CD processes.
Ability to work directly with quantitative researchers and convert research requirements into scalable engineering solutions.

Technologies

Python
Spark, PySpark
SQL
Snowflake, Redshift, BigQuery, Vertica
Git, CI/CD

Preferred Qualifications

Experience with loan-level, mortgage, consumer credit, or structured finance datasets.
Exposure to prepayment, default, transition, or loss modeling in credit or securitized products.
Familiarity with market and reference data providers, securitization cash flows, collateral reporting, or structured product analytics.
Experience with Databricks, Delta Lake, workflow orchestration tools, and modern cloud-based analytics platforms.
Exposure to model deployment, scoring frameworks, experiment tracking, or machine learning operations.
Experience with high-performance analytics tools such as Polars, DuckDB, Pandas, and scikit-learn.
Familiarity with workflow scheduling, data quality monitoring, and pipeline validation.
Comfortable using AI-assisted development tools to accelerate coding, refactoring, testing, and codebase navigation.
Knowledge of cloud infrastructure, object storage, access controls, and cost-efficient data architecture.

Education

Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Statistics, Financial Engineering, Mathematics, or Economic

Location and Compensation

Location: New York, NY (onsite)

Salary: USD 350,000 - 450,000 per yearly

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30d ago

Quantitative Developer - Securitized Products

Clearwater Analytics, LLC New York, NY 🇺🇸 Remote

New York, NY

30d ago Closed

$156k - $211k/yr Full time Python Capital Markets CMBS

This position is no longer accepting applications (closed Aug 21, 2026).

Job Description

Clearwater Analytics, LLC invites applications for a Quantitative Developer focused on securitized products within the Quant team. The role encompasses building pricing libraries, valuation and risk analytics, and cash flow modeling for ABS, CLO, MBS, and CMBS, progressing from model development to production deployment with client interaction. Collaboration with cross-functional teams will enhance the platform's structured products capabilities. This position is based in New York, NY with remote work options.

Responsibilities

Develop and maintain pricing libraries and analytical models for securitized products including ABS, CLO, MBS, CMBS, and other structured credit instruments
Build, extend, and maintain frameworks within the platform supporting securitized product lifecycle management, including cash flow generation, prepayment modeling, credit enhancement structures, and tranche-level analytics
Implement and maintain risk analytics covering interest rate sensitivities (DV01, duration, convexity), spread risk, scenario analysis, and stress testing across structured product portfolios
Design and develop models for prepayment, default, and loss severity - calibrated to market conventions and client-specific requirements
Identify and advocate for new models and design patterns necessary for the continuous improvement of an evolving infrastructure to support all clients
Produce high-quality documentation targeting both technical and non-technical audiences, supporting and expanding engineering solutions

Requirements

1–3 years of experience in quantitative development with a focus on securitized or structured products
Strong understanding of structured product mechanics - deal structures, waterfall logic, cash flow prioritization, credit enhancement, and tranche-level risk
Familiarity with prepayment models (for example PSA, CPR) and credit risk frameworks applicable to ABS, MBS, CMBS, and CLO structures
Experience developing production-quality code, preferably in Python, with a strong software engineering foundation
Strong problem-solving and communication skills - ability to convey technical topics clearly to both technical and non-technical audiences

Technologies

Python

Benefits

Business casual atmosphere in a flexible working environment
Team-focused culture that promotes innovation and ownership
Access to cutting-edge investment reporting technology and expertise
Defined and undefined career pathways allowing you to grow your own way
Competitive medical, dental, vision, and life insurance benefits
Maternity and paternity leave
Personal Time Off and Volunteer Time Off to give back to the community
RSUs as well as employee stock purchase plan and 401K with match
Work from anywhere 3 weeks out of the year
Work from home Fridays

Location

New York, NY with remote work options

Salary

USD 156,400 - 210,841 per year

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Structured Products Developer Jobs

Quantitative Data Engineer - Fixed Income and Mortgages

Quantitative Developer - Securitized Products

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