Quant Senior Associate, Mortgage Credit Tech & Data

Growth Equity Interview Guide

City of Rochester (NY)

On-site

USD 120,000 - 190,000

Full time

14 days+
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Benefits offered by this job

Health benefits
Dental benefits
401(k) plan
Discretionary bonuses

Job summary

Blackstone Credit & Insurance seeks a Quant Senior Associate to blend software engineering with credit investing in residential mortgage loans. You will design scalable systems for loan lifecycle efficiency, and collaborate with investment professionals on architecture and data infrastructure.

The role emphasizes building data pipelines, working with central tech teams, and setting engineering best practices to support a growing business.

Qualifications

  • Degree in computer science, software engineering, or a related field.
  • At least 3 years of experience as a software developer/engineer.
  • Strong programming skills in Python, C++, C#, or Java.
  • Experience with SQL and relational databases.
  • Hands-on experience with data pipelines and APIs.
  • Familiarity with cloud infrastructure like AWS or Azure.
  • Good communication skills to work with non-technical partners.
  • Interest in financial services or real estate finance is a plus.

Responsibilities

  • Map out complex processes in the mortgage loan lifecycle.
  • Design and implement technology solutions for loan management.
  • Coordinate projects across various teams.
  • Build and maintain data infrastructure for reporting and analytics.
  • Work with central technology teams on system architecture.
  • Establish best practices for engineering.

Skills

Python
C++
C#
Java
SQL
APIs
Data pipelines
Cloud AWS
Communication
Finance interest

Education

Bachelor's degree in computer science or related field

Tools

Relational databases

Job description

Blackstone Credit & Insurance seeks a Quant Senior Associate to blend software engineering with credit investing in residential mortgage loans. You will design scalable systems for loan lifecycle efficiency, and collaborate with investment professionals on architecture and data infrastructure.

The role emphasizes building data pipelines, working with central tech teams, and setting engineering best practices to support a growing business.

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