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For Companies At a Glance
- Tasks: Join the Treasury Technology team to enhance cash management and analytics.
- Company: Dynamic financial institution with a global presence in London and New York.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make an impact by developing data solutions that drive treasury operations.
- Qualifications: Strong skills in T-SQL, Python, and data warehousing concepts required.
- Other info: Collaborative environment with excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
Role
Joining the Treasury Technology team. The team currently has a presence in London and New York and is responsible for providing software and data solutions to enhance and support Cash Management, FX Funding, Treasury Analytics and Liquidity.
Responsibilities
- Work with other teams to source and ingest data in a variety of forms
- Collaborate with a team of developers using dev ops tools like GIT and CI
- Ingest data into a data warehouse with ELT processes using T-SQL
- Develop and maintain OLAP databases and SSAS cubes
- Create reports and dashboards in Power BI and SSRS
- Writing performant and maintainable code to provide value from data
- Adhere to project deadlines
Requirements
- Excellent technical aptitude – T-SQL, DAX, SSAS Tabular, Python etc.
- Strong analytical & problem-solving skills with a logical approach
- Knowledge of data warehousing and data processing concepts
- Able to work collaboratively
- Excellent data analytical skills – Data mining / discovery
- Good communication skills, able to covey concepts.
- Good business knowledge of Fixed Income and Equities, Repos and STBL
- Good understanding of Treasury
#J-18808-Ljbffr
Treasury Data Engineer employer: Jefferies
Contact Detail:
Jefferies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Treasury Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the Treasury Technology space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your T-SQL, Python, and Power BI projects. This gives us a tangible way to see what you can do beyond the usual application.
✨Tip Number 3
Prepare for those interviews! Brush up on your analytical and problem-solving skills, and be ready to discuss how you've tackled data challenges in the past. We love hearing about real-world examples!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Treasury Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with T-SQL, Python, and data warehousing. We want to see how your skills align with the Treasury Data Engineer 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 passionate about data engineering and how you can contribute to our Treasury Technology team. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love seeing analytical minds at work, so share those success stories that demonstrate your logical approach!
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Jefferies
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially T-SQL, DAX, and Python. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Analytical Skills
Prepare examples that highlight your analytical and problem-solving abilities. Think of specific instances where you successfully mined or processed data, and be ready to explain your thought process and the impact of your work.
✨Familiarise Yourself with Treasury Concepts
Since the role involves Fixed Income, Equities, and other treasury-related areas, make sure you understand these concepts well. Being able to discuss how they relate to data engineering will show your potential employer that you're not just technically savvy but also business-minded.
✨Practice Collaborative Scenarios
As teamwork is key in this role, think of examples where you've collaborated effectively with others. Be prepared to discuss how you’ve used dev ops tools like GIT and CI in a team setting, and how you handle project deadlines together.
