Associate, Data & Technology
Seattle, WA, US
- Pay
$115,000–140,000/year — pay source
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Salary range for the position: $115,000 - $140,000 /Yr. The successful candidate may be eligible for an annual discretionary incentive compensation award. The successful candidate may be eligible to participate in the relevant business unit’s incentive compensation plan, which also may include a discretionary bonus component. Morgan Stanley offers a full spectrum of benefits, including Medical, Prescription Drug, Dental, Vision, Health Savings Account, Dependent Day Care Savings Account, Life Insurance, Disability and Other Insurance Plans, Paid Time Off (including Sick Leave consistent with state and local law, Parental Leave and 20 Vacation Days annually), 10 Paid Holidays, 401(k), and Short/Long Term Disability, in addition to other special perks reserved for our employees. Please visit mybenefits.morganstanley.com to learn more about our benefit offerings. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingBuild, deploy and support trade software systems and analytical tools
Work with trading, sales and operations to fix trade lifecycle system issues
Analyze market data with statistical and machine learning tools
Propose trading system changes based on data analysis and simulations
From the employer’s posting
build, deploy, and support trade software systems, analytical tools, and scalable trading engine infrastructure
Partner with trading, sales, operations, and senior management to understand key system issues in the trade lifecycle and propose technical solutions.
Utilize statistical and machine learning tools to analyze market data and identify trading and operational efficiency opportunities.
Propose changes in trading systems based on data analysis and simulation results.
Education & alternatives
What you’ll bring to the role: Requires a Master’s in Technical Entrepreneurship & Management, or a related field of study. Requires two (2) years of experience in the position offered or two (2) years as an Associate, Data Engineer, Data Analyst, or a related occupation.
Tools in this posting
- Bash
- Java
- Python
- SQL
- AWS
- Docker
- S3
- Snowflake
- Terraform
- Airflow
Source — Tool mentions in context
What you’ll do in the role: Morgan Stanley Services Group Inc. is seeking an Associate, Data & Technology in Seattle, Washington. to build, deploy, and support trade software systems, analytical tools, and scalable trading engine infrastructure. Partner with trading, sales, operations, and senior management to understand key system issues in the trade lifecycle and propose technical solutions. Gather and analyze large sets of data through various systems and implement complex mathematical calculations. Utilize statistical and machine learning tools to analyze market data and identify trading and operational efficiency opportunities. Propose changes in trading systems based on data analysis and simulation results. Utilize quantitative skills, programming skills, and experience implementing mathematical models in SQL, Java, bash, and Python. Telecommuting permitted up to 2 days per week. What you’ll bring to the role:
Requires two (2) years of experience with the following skills: * Writing and interpreting queries using SQL and Python; * Supporting a 24x7 technical production environment using robust incident response protocols for financial data integrity and compliance; * Implementing DevOps practices and tools, including Octopus, JIRA, and Confluence; * Developing scripts, automation, and continuous improvement solutions using bash, Terraform, GitHub and Docker; * Orchestrating and managing data pipelines leveraging Apache NiFi and Apache Airflow; * Working with cloud platforms and services, including Snowflake and AWS with S3, IAM, Athena, SNS, and EC2; * Administering and supporting Linux and UNIX based operating systems; * Ensuring security and access controls for sensitive financial information across distributed environments; * Conducting regular audits and maintaining documentation to meet financial regulatory standards. WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 30, 2026 · 29 days ago
- Recorded sightings
- 153
- Last seen by us
- Oct 30, 2026
- Employer says posted
- Sep 28, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on morganstanley.eightfold.ai. The employer’s form will show what is required.
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Seattle, WA, US
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