Senior data Engineer Anti Fraud

Senior data Engineer Anti Fraud

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
The Vanguard Group

At a Glance

  • Tasks: Create innovative solutions to combat fraud using cutting-edge technology.
  • Company: Join Vanguard, a leader in cybersecurity managing over $11 trillion in assets.
  • Benefits: Attractive salary, performance bonuses, and hybrid working model.
  • Other info: Diverse and inclusive culture with excellent career growth opportunities.
  • Why this job: Make a real impact in preventing financial crime while developing your skills.
  • Qualifications: Experience in data engineering with strong Python and SQL skills.

The predicted salary is between 60000 - 80000 £ per year.

Technology, at the forefront of cybersecurity. Vanguard manages over $11 trillion in assets across the globe. Our Enterprise Security & Fraud (ES&F) team aims to innovate using cutting edge technology to prevent fraud and financial crime on our investment platform.

In this role you will:

  • Be creative with solutions for business needs, considering options outside of what is already being done.
  • Aid with the design and implementation 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, i.e. 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.

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.

Senior data Engineer Anti Fraud employer: The Vanguard Group

Vanguard is an exceptional employer, offering a dynamic work environment in either Manchester or London, where innovation meets inclusivity. With a strong focus on employee growth, we provide competitive salaries, performance bonuses, and a hybrid working model that promotes work-life balance. Our commitment to diversity and inclusion ensures that every crew member's unique strengths are valued, fostering collaboration and creativity in tackling the challenges of cybersecurity and fraud prevention.

The Vanguard Group

Contact Details:

The Vanguard Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior data Engineer Anti Fraud

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and cloud technologies. This gives you a chance to demonstrate your expertise and creativity, making you stand out from the crowd.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data engineering and be ready to discuss how you've tackled challenges in past projects. Confidence is key!

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team at Vanguard and contributing to our mission.

We think you need these skills to ace Senior data Engineer Anti Fraud

Python
SQL
Cloud Computing (AWS preferred)
ELT Pipeline Development
Data Quality Frameworks (e.g., Great Expectations)
Infrastructure as Code (IaC) (CloudFormation/Terraform)
Agile Software Development

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Python, SQL, and cloud environments like AWS. We want to see how your skills align with our needs!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for anti-fraud technology and how you can contribute to our mission. Be creative and show us why you're the perfect fit for the team.

Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with ELT pipelines, data quality frameworks, or any innovative solutions you've developed. We love seeing real-world applications of your skills.

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at The Vanguard Group

Know Your Tech Inside Out

Make sure you’re well-versed in Python, SQL, and any cloud technologies like AWS. Brush up on your experience with ELT pipelines and transformation tools like PySpark or Pandas. Being able to discuss your technical skills confidently will show that you're ready to tackle the challenges of the role.

Showcase Your Problem-Solving Skills

Prepare examples of how you've creatively solved business needs in the past. Think about times when you’ve built resilient solutions or improved processes. This will demonstrate your ability to think outside the box, which is crucial for a Senior Data Engineer in Anti-Fraud Technology.

Communicate Effectively

Since this role involves collaborating with both technical and non-technical teams, practice explaining complex concepts in simple terms. Highlight your communication skills during the interview by engaging with your interviewers and asking clarifying questions.

Embrace Agile Methodologies

Familiarise yourself with agile practices and be ready to discuss your experience with scrum frameworks. Mention specific instances where you participated in sprint planning or retrospectives, as this shows you can thrive in a collaborative environment.