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Lead Data Engineer

at Morgan Stanley

Back to all Data Engineering jobs
Morgan Stanley logo
Bulge Bracket Investment Banks

Lead Data Engineer

at Morgan Stanley

Mid LevelNo visa sponsorshipData Engineering

Posted 14 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

We’re seeking a Lead Data Engineer to join Morgan Stanley’s Trade Surveillance team within Cyber Data Risk & Resilience. You’ll develop tooling for big data processing and analytics pipelines to support surveillance efforts and help identify market abuse. This is a senior data engineering role in the Technology division, focused on building automated processes, backend components, and DevOps-enabled data solutions using Python, shell scripting, and related technologies. The role requires strong experience in data engineering, with familiarity in Hadoop/Spark, SQL databases, CI/CD tools, and ML/AI concepts.

We’re seeking someone to join our Trade Surveillance team as a Lead Data Engineer in Cyber Data Risk & Resilience.

The Trade Surveillance team builds and executes complex surveillance models that focus on monitoring the trading practices of the Firm's front office functions. You will be developing tooling required for the execution of big data processing and data analytics pipelines to support Analytics for Trade Surveillance to aid in the identification of market abuse.

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 Engineer position 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, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you'll do in the role:

  • Encouraging and building automated processes wherever possible

  • Python and shell programming in the context of DevOps automation

  • Testing and debugging applications

  • Developing back-end components

What you'll bring to the role:

  • At least 6 years’ relevant experience would generally be expected to find the skills required for this role

  • Python experience

  • Knowledge on Hadoop Technologies, specifically Spark

  • Linux Shell Scripting

  • Database/SQL - preferably Postgres or DB2

  • Unit Testing, Integration Testing

  • Gradle

  • Build and release automation, CI/CD tools such as Jenkins, open stack, and Azure DevOps

  • Artificial Intelligence/Machine Learning

#BPTECH #LI-hybrid #LI-RG1

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.

Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Lead Data Engineer

at Morgan Stanley

Back to all Data Engineering jobs
Morgan Stanley logo
Bulge Bracket Investment Banks

Lead Data Engineer

at Morgan Stanley

Mid LevelNo visa sponsorshipData Engineering

Posted 14 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

We’re seeking a Lead Data Engineer to join Morgan Stanley’s Trade Surveillance team within Cyber Data Risk & Resilience. You’ll develop tooling for big data processing and analytics pipelines to support surveillance efforts and help identify market abuse. This is a senior data engineering role in the Technology division, focused on building automated processes, backend components, and DevOps-enabled data solutions using Python, shell scripting, and related technologies. The role requires strong experience in data engineering, with familiarity in Hadoop/Spark, SQL databases, CI/CD tools, and ML/AI concepts.

We’re seeking someone to join our Trade Surveillance team as a Lead Data Engineer in Cyber Data Risk & Resilience.

The Trade Surveillance team builds and executes complex surveillance models that focus on monitoring the trading practices of the Firm's front office functions. You will be developing tooling required for the execution of big data processing and data analytics pipelines to support Analytics for Trade Surveillance to aid in the identification of market abuse.

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 Engineer position 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, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you'll do in the role:

  • Encouraging and building automated processes wherever possible

  • Python and shell programming in the context of DevOps automation

  • Testing and debugging applications

  • Developing back-end components

What you'll bring to the role:

  • At least 6 years’ relevant experience would generally be expected to find the skills required for this role

  • Python experience

  • Knowledge on Hadoop Technologies, specifically Spark

  • Linux Shell Scripting

  • Database/SQL - preferably Postgres or DB2

  • Unit Testing, Integration Testing

  • Gradle

  • Build and release automation, CI/CD tools such as Jenkins, open stack, and Azure DevOps

  • Artificial Intelligence/Machine Learning

#BPTECH #LI-hybrid #LI-RG1

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.

Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

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