Senior Java Engineer - Market Risk Engines

Morgan Stanley; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

Morgan Stanley Montreal-based team is seeking a senior software engineer to design, build, and integrate Market Risk engines using Core Java, Spring, and Spark. You will work in a multi‑tier data-centric environment, contributing to FRTB risk calculations and risk reporting alongside a global squad.

The role emphasizes scalable data processing, SQL optimizations, and cloud-enabled services, with collaboration across Canada, the UK, India, and the USA. A strong testing culture is expected.

Qualifications

• 5+ years hands-on experience with Core-Java (server-side), Spring, RDBMS.
• Experience with distributed data processing pipelines using Apache Spark, Python, and other tools and languages.
• Strong object-oriented design and development skills, data-structures and algorithms, and design patterns; multi-threaded applications and concurrency.
• Understanding of building and supporting applications through data context management and model testing.
• Culture of unit testing using JUnit.
• Relational databases modeling and optimized queries.
• Scripting in Shell/Perl/Python; Agile development experience.
• Clear communication in a global team; independent work with coding standards.

Responsibilities

• Develop Core Java and Spark-based Market Risk applications.
• Enhance existing Market Risk software and pipelines.
• Work in an Agile squad with teams in Montreal, Budapest, India, London, and New York.
• Collaborate with business partners to meet regulatory obligations and improve tooling.

Skills

Core Java

Spring

RDBMS

Apache Spark

Python

SQL

Linux

JUnit

Multithreading

SOA

Tools

Greenplum

Shell

Perl

JUnit

Job description

Morgan Stanley Montreal-based team is seeking a senior software engineer to design, build, and integrate Market Risk engines using Core Java, Spring, and Spark. You will work in a multi‑tier data-centric environment, contributing to FRTB risk calculations and risk reporting alongside a global squad.

The role emphasizes scalable data processing, SQL optimizations, and cloud-enabled services, with collaboration across Canada, the UK, India, and the USA. A strong testing culture is expected.