Data Engineer - Financial Crimes - Associate

Morgan Stanley
New York, US
On-siteCareer-pivot friendly

Why this role

Pace
Fast Paced
Collaboration
High
Autonomy
Medium
Decision Impact
Individual
Role Level
Individual Contributor
Career Pivot Friendly
Welcomes transferable skills

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • development of robust ETL frameworks
  • implementation of changes driven by evolving business requirements
Typical background
5+ years of experience in financial industry technologystrong knowledge of relational databases and data modeling

Transferable backgrounds

  • Coming from data analyst
  • Coming from data scientist

Skills & requirements

Required

PysparkSQLETL FrameworksData Modeling

Preferred

Graph DatabaseAutosysPower Designer

Stack & domain

PysparkPythonSQLAnalyticalTroubleshootingFinance

About the role

Original posting from Morgan Stanley

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 Principal Software Engineering position at Associate level which is part of the job family responsible for developing and maintaining software solutions that support business needs.

Since 1935, Morgan Stanley is known as a global leader in financial services, continuously evolving and innovating to better serve our clients and our communities in more than 40 countries around the world

What you will do

  • Design, develop, and implement robustPySparkbased ETL frameworks with error handling and fault tolerance in distributed cluster environments.
  • Performdata enquiry,data analysisanddata sourcing inRelational and Big Data database environments.
  • Develop a thorough understanding of technology systems, data stores, data pipelines, job streams, and downstream data consumers.
  • Translate business requirements into data models andprogramdesign specifications
  • Modify ETL and related programs to implement changes driven by evolving business requirements
  • Respond to queries from business analysts and developers regarding data access, query design, and performance optimization.
  • Troubleshoot data issues and collaborate with data providers and upstream teams to identify root causes and drive resolution.Provide Level3 (L3) production support as needed.
  • Use AIenabled tools to accelerate data mapping, data lineage creation, and data profiling, improving turnaround time and overall data quality.

What you will bring

  • Experience withcoding in all:Pyspark, Python, SQL
  • Strong knowledge of relational databases and data modeling
  • Strong SQL query-writing skills
  • Strong analyticaland troubleshooting skills.
  • At least 5 years financial industrytechnologyexperience and knowledge of financial services data
  • Good verbal and written communication skills

Desired Skills:

  • Hands-onExperience withGraph Database/Stardog
  • Experience withcodingAutosysjob definitions
  • Experience with Data Modeling tools (e.g.,Power Designer)
  • Experience in LinuxShell
  • Experience inJava Development
  • Experience and Understanding of Data Quality Rules and Implementation

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.

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.

Expected base pay rates for the role will be between 90,000 and 150,000 per year at the commencement of employment. However, base pay if hired will be determined on an individuali

Source: Morgan Stanley careers

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