At a Glance
- Tasks: Design and implement data pipelines to combat fraud using innovative technology.
- Company: Join Vanguard, a leader in investment management with a commitment to cybersecurity.
- Benefits: Attractive salary, performance bonuses, and flexible hybrid working model.
- Other info: Collaborative culture focused on diversity, inclusion, and continuous learning.
- Why this job: Make a real impact in protecting clients' assets from fraud while developing your skills.
- Qualifications: Experience in data engineering, Python, SQL, and cloud environments required.
The predicted salary is between 70000 - 90000 £ per year.
hackajob is collaborating with Vanguard to connect them with exceptional professionals for this role.
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.
- 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.
StudySmarter Expert Advice🤫
We think this is how you could land Senior data Engineer Anti Fraud (London)
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We think you need these skills to ace Senior data Engineer Anti Fraud (London)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Vanguard, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Vanguard, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Vanguard’s attention and show the tangible impact of your work.
How to prepare for a job interview at Vanguard
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Vanguard.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Vanguard.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Vanguard.
