At a Glance
- Tasks: Design solutions for sourcing and storing end-of-day market data.
- Company: Leading global investment bank with a dynamic work environment.
- Benefits: Competitive salary and opportunities for professional growth.
- Other info: Collaborate closely with Risk teams for accurate market data.
- Why this job: Join a team that impacts pricing and risk calculations in finance.
- Qualifications: 7+ years in application development, strong Python and SQL skills.
The predicted salary is between 80000 - 100000 £ per year.
A leading global investment bank is seeking a Senior Market Data Developer to design solutions for sourcing and storing end-of-day market data for pricing and risk calculations.
Candidates should have 7+ years of experience in application development, strong skills in Python and SQL, along with familiarity with Snowflake and AWS.
This role involves collaborating closely with Risk teams to ensure accurate market data inputs.
Competitive salary and dynamic work environment offered.
Senior Market Data Engineer – EOD Pricing & Risk employer: Jefferies
Jefferies is an excellent employer that fosters a dynamic and inclusive work culture, encouraging innovation and collaboration among its teams. With a strong focus on employee growth, the company offers numerous opportunities for professional development and advancement in the finance sector. Located in a vibrant financial hub, Jefferies provides a stimulating environment where employees can thrive while contributing to impactful projects in AI-driven finance and audit.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Market Data Engineer – EOD Pricing & Risk
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. A friendly chat can lead to insider info about job openings or even a referral, which can give you a leg up in the application process.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your Python and SQL projects. This is your chance to demonstrate your expertise in market data solutions and make a lasting impression on potential employers.
✨Tip Number 3
Ace the interview! Research common interview questions for Senior Market Data Engineers and practice your responses. Be ready to discuss your experience with Snowflake and AWS, and how you've collaborated with risk teams in the past.
✨Tip Number 4
Apply through our website! We’ve got a streamlined application process that makes it easy for you to showcase your skills and experience. Plus, it shows us you’re genuinely interested in joining our team!
We think you need these skills to ace Senior Market Data Engineer – EOD Pricing & Risk
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your 7+ years of experience in application development, especially with Python and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Market Data Engineer role. Mention your familiarity with Snowflake and AWS, and how you can contribute to our Risk teams.
Showcase Collaboration Skills:Since this role involves working closely with Risk teams, make sure to highlight any past experiences where you’ve successfully collaborated with others. We love seeing teamwork in action!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Jefferies
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in relation to market data solutions. The more you can demonstrate your technical expertise, the better!
✨Familiarise Yourself with Snowflake and AWS
Since familiarity with Snowflake and AWS is a must for this role, take some time to review how you've used these platforms in past projects. Be prepared to explain how they can be leveraged for sourcing and storing end-of-day market data.
✨Understand the Risk Landscape
This position involves close collaboration with Risk teams, so it’s crucial to understand the basics of risk calculations and how market data impacts them. Brush up on relevant concepts and be ready to discuss how your work can contribute to accurate market data inputs.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the team dynamics, the challenges they face with market data, and how success is measured in this role. This shows your genuine interest and helps you assess if the company is the right fit for you.
