Associate, Data & Technology
AI in this role
Build trading software systems, analytical tools, and utilize machine learning to identify trading efficiency opportunities.
Company Profile:
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment, and wealth management services. The Firm's employees serve clients worldwide, including corporations, governments, and individuals from more than 1,200 offices in 43 countries.
In Technology, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.
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 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.
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:
At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.
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.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.
How we rate this
Associate, Data & Technology at Morgan Stanley rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where devops was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where trading systems was part of your work. What did you do?
- Tell me about a project where quantitative analysis was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Machine Learning, Devops, Data Pipelines, Trading Systems, and Quantitative Analysis. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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