Senior Quant Dev Engineer — Hybrid/Remote

Morgan Stanley; Seattle (WA); Hybrid; USD 78,000 - 185,000; Full time

Benefits offered by this job

Hybrid working model

Medical, Prescription Drug, Dental, &

Vision Insurance

Health Savings Account

Life Insurance

Discretionary incentive compensation

20 vacation days annually

401(k) and other benefits

Job summary

Morgan Stanley's Parametric unit seeks a Senior Research Software Engineer to modernize applications and build new ones within a hybrid model. You will work with the Quantitative Development team on portfolio modeling, testing, and secure coding practices while collaborating with business and technical stakeholders.

Apply your expertise in cloud-native design, Python and OO languages, Kafka, Docker, Terraform, and AWS services to deliver scalable solutions in a fast-paced financial services

Qualifications

• 5+ years of experience developing cloud-native applications.
• Proficiency in Python and at least one OO language (C#/Java).
• Experience with AWS services like ECS, S3, Batch, EC2.
• Experience with Kafka and Docker.
• Familiarity with Terraform and Git or SVN.
• Experience in agile development and CI/build tools.
• NoSQL experience (DynamoDB, MongoDB).
• Strong communication with business users and developers.
• Knowledge of AI technologies and their business/technical uses.

Responsibilities

• Understand and document requirements with the business unit.
• Design and develop integration solutions with 3rd party data providers and systems.
• Share knowledge to improve processes and productivity.
• Create unit/integration/functional tests.
• Follow development process and guidelines.
• Conduct code reviews and merge-request reviews.
• Follow technology trends/tools and recommend improvements.
• Act as security expert, advocating secure coding practices.
• Research and implement cross-functional software development initiatives.

Skills

Cloud native apps

Python

OO languages (C#/Java)

AWS services

Kafka

Docker

Terraform

GIT/SVN

NoSQL (DynamoDB/MongoDB)

CI/CD

AI familiarity

Tools

Kafka

Terraform

Git/SVN

Docker

AWS (ECS, S3, Batch, EC2)

DynamoDB

MongoDB

Job description

Morgan Stanley's Parametric unit seeks a Senior Research Software Engineer to modernize applications and build new ones within a hybrid model. You will work with the Quantitative Development team on portfolio modeling, testing, and secure coding practices while collaborating with business and technical stakeholders.

Apply your expertise in cloud-native design, Python and OO languages, Kafka, Docker, Terraform, and AWS services to deliver scalable solutions in a fast-paced financial services