Data & Analytics Eng II - Associate
Alpharetta GA 2475, United States
⚠️ We'll shut down after Aug 1st - try foo🦍 for all jobs in tech ⚠️
Full Time Mid-level / Intermediate USD 105K - 115K
Morgan Stanley
Discover how we help individuals, families, institutions and governments raise, manage and distribute the capital they need to achieve their goals.In the Technology division, 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. This is a Data & Analytics Engineering position at the Associate level, which is part of the job family responsible for providing specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.
Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on.
MS Wealth Management (MSWM) Technology
Morgan Stanley Wealth Management (MSWM) Technology is the global technology department responsible for the design, development, delivery and support of the technical solutions behind the products and services used by the Morgan Stanley Wealth Management (MSWM) business. The department is comprised of 10 organizations: Sales, Banking & Corporate-Client Technology, Investment Products & Markets Technology, Client Reporting, Core Processing, Private and International Wealth Management Technology, Technology Integration Office, Enterprise Infrastructure & Production Management, Capital Markets Application & Data Services, Deployment Planning & Release Management, and the Chief Operating Office.
What you'll do in this role:
Architect, develop, and maintain a robust, scalable in-house system management web application.
Implement Gen AI integration projects using inhouse API's to call LLM's.
Work extensively with data streaming and processing technologies, including Kafka and Elasticsearch.
Design and implement data management and reporting tools using RDBMS, Grafana etc.
Collaborate with cross-functional teams to define and implement system requirements, troubleshoot issues, and optimize system performance.
Independently drive initiatives, manage multiple work streams, and contribute to a high-performance engineering culture.
What you'll bring to this role:
3+ years of Full stack Software Design and Development Experience
Full Stack Development: Strong experience in front-end and back-end development using technologies such as Python, Flask, NodeJS, REST.
Linux System Administration: Expertise in CentOS/Red Hat environments, with a focus on server automation and optimization.
Scripting & Automation Tools: proficiency in Bash scripting and Ansible.
Data Streaming & Processing: Experience with data streaming tools (Kafka) and processing technologies: Elasticsearch, Grafana etc.
Gen AI & Machine Learning: Practical experience with Gen AI integration projects and good knowledge on RAG implementations.
Database Management: Solid understanding of RDBMS (e.g., PostgreSQL, MySQL) for data storage and retrieval.
Collaboration: Strong ability to work both independently and lead collaborative team efforts.
Bachelor of Engineering in Computer Science or equivalent, Masters in Computer Science is a Plus.
Preferred skills:
Experience with self-healing frameworks and building proactive, resilient infrastructure.
Familiarity with DevOps practices and CI/CD pipelines using tools such as Jenkins, Puppet, Ansible, Airflow, Terraform, Prometheus, Grafana, Loki, Kibana
Strong analytical and problem-solving skills, with a focus on innovative solutions.
Experience with virtualization and cloud technologies such as Docker, Kubernetes, AWS (CLI/SDK), Azure.
Experience with front end technology like Angular or React
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 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.
Expected base pay rates for the role will be between $105,000 and $115,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).
Tags: Airflow Angular Ansible APIs AWS Azure Banking CI/CD Computer Science Data analysis Data management Data pipelines DevOps Docker Elasticsearch Engineering Flask Generative AI Grafana Jenkins Kafka Kibana Kubernetes Linux LLMs Machine Learning MySQL Node.js Pipelines PostgreSQL Puppet Python RAG RDBMS React Streaming Terraform
Perks/benefits: Career development
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