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Senior data Engineer Anti Fraud

at Vanguard

Back to all Data Engineering jobs
Vanguard logo
Industry not specified

Senior data Engineer Anti Fraud

at Vanguard

Mid LevelNo visa sponsorshipData Engineering

Posted 6 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Manchester, London
Country
United Kingdom

**Senior Data Engineer, Anti-Fraud Technology** in Manchester/London. As a Contractor, you'll pioneer real-time data solutions, protecting Vanguard's $11 trillion in assets. Key responsibilities include driving innovative, future-proof solutions, designing and implementing real-time analysis pipelines, building ELT pipelines, and coding to high standards. Required skills: proficiency in Python, SQL, cloud (AWS), data processing (Spark), and experience in financial fraud prevention. This senior role demands at least 7+ years of experience in data engineering, anti-fraud, or related cybersecurity fields. Join Vanguard's digital-first, cybersecurity-focused team and safeguard clients across the UK & Europe.

Project Contractor
Project Contractor

Senior Data Engineer, Anti-Fraud Technology

Manchester OR London

Contract

Purpose

Technology, at the forefront of cybersecurity

Vanguard manages over $11 trillion in assets across the globe, and with this comes an immense responsibility to safeguard our clients’ funds from bad actors. As a digital-first company, our Enterprise Security & Fraud (ES&F) team aims to innovate using cutting edge technology to prevent fraud and financial crime on our investment platform. Join an established cybersecurity-focused development team for Vanguard Europe and be on the cutting edge of implementing a suite of tools to protect hundreds of thousands of clients across the UK & Europe.

In this role you will:

  • Be creative with solutions for business needs, it’s important that we consider our options outside of what is already being done. We want to build resilient, future-proof novel solutions.
  • Aid with the design and implement of pipelines for real-time analysis and critical decision making for operational systems.
  • Build ELT pipelines, from source to presentation of data to our internal customers.
  • Write high quality, testable and readable code, assist with code reviews, provide solution design input, build automated tests, create documentation, and other tasks throughout the development lifecycle.
  • Collaborate closely with junior and senior developers, scrum master, and product owner to ensure the data is enabling our client experience.
  • Identify and help implement continuous improvement of technical standards, methodologies, technologies, and processes.
  • Own the deployment and operations of the system across environments from development, test, and through to production.
  • Participate in agile meetings aligned to the scrum framework: sprint planning, daily scrums, sprint review, sprint retrospective.

Qualifications we’re looking for:

A bachelor’s degree in computer science, STEM or related discipline is a plus, but not strictly required.

Experience as a data engineer.

Strong experience with Python and SQL is required as well as a solid understanding of working in a cloud-based environment (AWS is preferred).

Proficient using transformation tools such as PySpark/Pandas.

Knowledge and practice of graph databases is preferred but not required.

Key responsibilities/ Skills and experience

Familiarity using data quality frameworks, ie. Great Expectations.

Experience building cloud infrastructure using IaC (CloudFormation/Terraform).

Demonstrable understanding of industry standards and best practices as it relates to development methodology such as testing, code quality and consistency.

Great communication skills: the ability to bridge the gap between the technical and non-technical across various communication channels.

An understanding of agile software development methodology, with scrum framework experience preferred.

A desire to continuously learn and develop yourself in both technical and non-technical skillsets.

Working at Vanguard

We offer an attractive base salary, annual performance bonus (paid in January), partnership bonus (paid in June), and competitive benefits. Our hybrid working model includes office days on Tuesday, Wednesday, and Thursday, with remote work on Monday and Friday.

Why Vanguard?

Vanguard is a different kind of investment company. It was founded in the United States in 1975 on a simple but revolutionary idea: that an investment company should manage its funds solely in the interests of its clients.

This is a philosophy that has helped millions of people around the world to achieve their goals with low-cost, uncomplicated investments.

It's what we stand for: value to investors.

Inclusion Statement

Vanguard’s continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: “Do the right thing.”

We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard’s core purpose through our values.

When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose: to take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Senior data Engineer Anti Fraud

at Vanguard

Back to all Data Engineering jobs
Vanguard logo
Industry not specified

Senior data Engineer Anti Fraud

at Vanguard

Mid LevelNo visa sponsorshipData Engineering

Posted 6 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Manchester, London
Country
United Kingdom

**Senior Data Engineer, Anti-Fraud Technology** in Manchester/London. As a Contractor, you'll pioneer real-time data solutions, protecting Vanguard's $11 trillion in assets. Key responsibilities include driving innovative, future-proof solutions, designing and implementing real-time analysis pipelines, building ELT pipelines, and coding to high standards. Required skills: proficiency in Python, SQL, cloud (AWS), data processing (Spark), and experience in financial fraud prevention. This senior role demands at least 7+ years of experience in data engineering, anti-fraud, or related cybersecurity fields. Join Vanguard's digital-first, cybersecurity-focused team and safeguard clients across the UK & Europe.

Project Contractor
Project Contractor

Senior Data Engineer, Anti-Fraud Technology

Manchester OR London

Contract

Purpose

Technology, at the forefront of cybersecurity

Vanguard manages over $11 trillion in assets across the globe, and with this comes an immense responsibility to safeguard our clients’ funds from bad actors. As a digital-first company, our Enterprise Security & Fraud (ES&F) team aims to innovate using cutting edge technology to prevent fraud and financial crime on our investment platform. Join an established cybersecurity-focused development team for Vanguard Europe and be on the cutting edge of implementing a suite of tools to protect hundreds of thousands of clients across the UK & Europe.

In this role you will:

  • Be creative with solutions for business needs, it’s important that we consider our options outside of what is already being done. We want to build resilient, future-proof novel solutions.
  • Aid with the design and implement of pipelines for real-time analysis and critical decision making for operational systems.
  • Build ELT pipelines, from source to presentation of data to our internal customers.
  • Write high quality, testable and readable code, assist with code reviews, provide solution design input, build automated tests, create documentation, and other tasks throughout the development lifecycle.
  • Collaborate closely with junior and senior developers, scrum master, and product owner to ensure the data is enabling our client experience.
  • Identify and help implement continuous improvement of technical standards, methodologies, technologies, and processes.
  • Own the deployment and operations of the system across environments from development, test, and through to production.
  • Participate in agile meetings aligned to the scrum framework: sprint planning, daily scrums, sprint review, sprint retrospective.

Qualifications we’re looking for:

A bachelor’s degree in computer science, STEM or related discipline is a plus, but not strictly required.

Experience as a data engineer.

Strong experience with Python and SQL is required as well as a solid understanding of working in a cloud-based environment (AWS is preferred).

Proficient using transformation tools such as PySpark/Pandas.

Knowledge and practice of graph databases is preferred but not required.

Key responsibilities/ Skills and experience

Familiarity using data quality frameworks, ie. Great Expectations.

Experience building cloud infrastructure using IaC (CloudFormation/Terraform).

Demonstrable understanding of industry standards and best practices as it relates to development methodology such as testing, code quality and consistency.

Great communication skills: the ability to bridge the gap between the technical and non-technical across various communication channels.

An understanding of agile software development methodology, with scrum framework experience preferred.

A desire to continuously learn and develop yourself in both technical and non-technical skillsets.

Working at Vanguard

We offer an attractive base salary, annual performance bonus (paid in January), partnership bonus (paid in June), and competitive benefits. Our hybrid working model includes office days on Tuesday, Wednesday, and Thursday, with remote work on Monday and Friday.

Why Vanguard?

Vanguard is a different kind of investment company. It was founded in the United States in 1975 on a simple but revolutionary idea: that an investment company should manage its funds solely in the interests of its clients.

This is a philosophy that has helped millions of people around the world to achieve their goals with low-cost, uncomplicated investments.

It's what we stand for: value to investors.

Inclusion Statement

Vanguard’s continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: “Do the right thing.”

We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard’s core purpose through our values.

When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose: to take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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