Regulatory Data Engineer

Regulatory Data Engineer

Temporary 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and implement data pipelines for trading and regulatory needs.
  • Company: Join a fast-paced hedge fund at the forefront of trading and technology.
  • Benefits: Competitive salary, full-time role, and a dynamic work environment.
  • Why this job: Make an impact in a critical role that blends trading, tech, and regulation.
  • Qualifications: 5+ years in global markets, advanced Python skills, and SQL expertise.
  • Other info: Opportunity for growth in a collaborative and innovative team.

The predicted salary is between 48000 - 72000 £ per year.

We are seeking a highly experienced Regulatory Data Engineer to join a trading desk team on a three-month engagement. This is an excellent opportunity to work within a front-office environment and contribute to critical data initiatives.

Key Responsibilities

  • Design, develop, and implement data pipelines to support regulatory and trading desk requirements.
  • Collaborate with traders and business stakeholders to translate requirements into technical solutions.
  • Ensure accuracy, integrity, and quality of data across systems.
  • Contribute hands-on to the data infrastructure, maintaining high coding and engineering standards.
  • Work closely with engineers and data specialists to improve reporting and analytics capabilities.

Essential Skills and Experience

  • Minimum 5 years’ experience in global markets, hedge funds, or investment banking.
  • Advanced expertise in Python with strong hands-on development experience.
  • Proficiency in data tools (e.g., ETL tools, data visualisation tools).
  • Proven data engineering skills with deep knowledge of SQL and large-scale data management.
  • Familiarity with regulatory reporting frameworks (e.g., EMIR, Dodd-Frank).
  • Direct experience working on a trading desk, with a strong understanding of trading processes and data requirements.

The Opportunity

This contract offers the chance to operate at the intersection of trading, technology, and regulation within a fast-paced hedge fund environment. The ideal candidate will be delivery-focused, highly technical, and confident working with both business and technical stakeholders.

Additional Information

  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Accounting/Auditing
  • Industries: Investment Banking and Banking

Stott and May is an equal opportunities employer and welcomes applications from all qualified candidates.

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Regulatory Data Engineer employer: Stott and May

Stott and May is an exceptional employer, offering a dynamic work culture that thrives on collaboration and innovation within the fast-paced environment of investment banking. Employees benefit from meaningful engagement in critical data initiatives, ample opportunities for professional growth, and a commitment to diversity and inclusion. Joining our team means being part of a forward-thinking organisation that values technical expertise and fosters a supportive atmosphere for career advancement.
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Contact Detail:

Stott and May Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Regulatory Data Engineer

✨Tip Number 1

Network like a pro! Reach out to your connections in the finance and tech sectors. Attend industry events or webinars where you can meet potential employers and showcase your skills. Remember, it’s all about who you know!

✨Tip Number 2

Prepare for those interviews! Research the company and its trading desk operations. Be ready to discuss how your experience with Python and data tools can directly benefit their regulatory initiatives. Confidence is key!

✨Tip Number 3

Show off your projects! If you've worked on relevant data pipelines or regulatory frameworks, be sure to highlight these during conversations. Having tangible examples will make you stand out from the crowd.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.

We think you need these skills to ace Regulatory Data Engineer

Data Pipeline Development
Collaboration with Traders
Data Accuracy and Integrity
Coding Standards
Reporting and Analytics Improvement
Python Programming
ETL Tools Proficiency
Data Visualisation Tools
SQL Expertise
Large-Scale Data Management
Regulatory Reporting Frameworks Knowledge
Understanding of Trading Processes
Technical Stakeholder Engagement
Delivery-Focused Mindset

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Regulatory Data Engineer role. Highlight your experience in global markets and any relevant projects that showcase your Python and SQL skills. We want to see how your background aligns with our needs!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention your hands-on experience with data pipelines and your familiarity with regulatory frameworks. Let us know what excites you about working in a trading desk environment.

Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! Include specific examples of data tools you've used, like ETL or data visualisation tools. We love seeing how you've contributed to improving reporting and analytics capabilities in your previous roles.

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!

How to prepare for a job interview at Stott and May

✨Know Your Data Inside Out

Make sure you brush up on your knowledge of data pipelines and regulatory frameworks like EMIR and Dodd-Frank. Be ready to discuss how you've designed and implemented similar solutions in the past, as this will show your hands-on experience and understanding of the role.

✨Show Off Your Python Skills

Since advanced expertise in Python is a must-have, prepare to talk about specific projects where you've used Python for data engineering. Bring examples of your code or projects that demonstrate your ability to maintain high coding standards and solve complex problems.

✨Collaborate Like a Pro

This role involves working closely with traders and business stakeholders, so be prepared to discuss how you've successfully collaborated in the past. Think of examples where you translated business requirements into technical solutions, showcasing your communication skills and teamwork.

✨Be Ready for Technical Questions

Expect some technical questions related to SQL and large-scale data management. Brush up on your SQL queries and be ready to explain your thought process when tackling data challenges. This will help demonstrate your problem-solving abilities and technical expertise.

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