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- Tasks: Troubleshoot data issues and support reference data for top finance professionals.
- Company: Join a passionate team at a leading data services group in finance.
- Benefits: Competitive salary, career growth, and a collaborative work environment.
- Why this job: Make an impact by ensuring data accuracy for global finance leaders.
- Qualifications: Bachelor's degree and 3+ years in financial services with SQL and Python skills.
- Other info: Dynamic role with opportunities to innovate and improve data processes.
The predicted salary is between 36000 - 60000 £ per year.
We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist's data services group is looking for a Data Operations Analyst to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.
This exceptional individual will join a global team of analysts who monitor, validate, and support Security and Issuer reference data within the firm's central reference data system.
RESPONSIBILITIES- Troubleshoot and resolve data discrepancies, monitor vendor SLAs, and communicate data issues to internal stakeholders.
- Implement proactive measures to identify and resolve data issues automatically.
- Handle internal client requests and inquiries, ensuring transparent support and leading communication on any SLA breaches.
- Assist in the onboarding of new datasets, validation rules, and user interface improvements, as well as participate in testing.
- Develop and document standardized processes for data support, monitoring, and quality assurance.
- Collaborate with global team members to ensure seamless transitions between support regions.
- Liaise with Business, Technology, and Operations leadership to ensure alignment on project objectives, deliverables, requirements, and status updates.
- Bachelor's degree with a concentration in Computer Science or related discipline.
- 3+ years of experience in financial services, asset management, or hedge funds with a focus on data operation and reference data support.
- Expertise in reference data content from common financial service data providers such as Bloomberg, Refinitiv, Barra, FactSet, etc.
- Experience troubleshooting and resolving data issues, along with experience in engaging with data consumers.
- Programming skills in SQL and Python.
- Experience working with large data sets.
- Strong oral and written communication skills.
- Strong analytical and problem-solving skills, with a keen attention to detail.
- Commitment to the highest ethical standards.
Reference Data Analyst in London employer: Point72 Careers
Contact Detail:
Point72 Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Reference Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and data sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions. Think about how you would troubleshoot data discrepancies or handle client requests. Practising your responses will help you feel more confident when it’s time to shine!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are passionate about data. It shows initiative and gives us a chance to see your enthusiasm right from the start.
We think you need these skills to ace Reference Data Analyst in London
Some tips for your application 🫡
Show Your Passion for Data: We want to see your enthusiasm for data in your application! Make sure to highlight any relevant experience or projects that showcase your love for data and how you've used it to solve problems.
Tailor Your CV and Cover Letter: Don’t just send a generic CV. We’re looking for candidates who can demonstrate their understanding of the role. Tailor your CV and cover letter to reflect the skills and experiences that align with the job description, especially around data operations and reference data support.
Be Clear and Concise: When writing your application, clarity is key. Use straightforward language and avoid jargon unless it's relevant. We appreciate well-structured applications that get straight to the point while still showcasing your personality.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Point72 Careers
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of reference data and the specific financial services data providers mentioned in the job description, like Bloomberg and Refinitiv. Being able to discuss how you've used this data in past roles will show your expertise and passion for the field.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data discrepancies or issues in previous positions. Use the STAR method (Situation, Task, Action, Result) to structure your answers, as this will help you clearly demonstrate your analytical skills and attention to detail.
✨Communicate Effectively
Since strong communication skills are crucial for this role, practice articulating your thoughts clearly and concisely. You might even want to do a mock interview with a friend to get comfortable discussing technical concepts in an easy-to-understand way.
✨Familiarise Yourself with SQL and Python
Given the emphasis on programming skills, be ready to discuss your experience with SQL and Python. Brush up on relevant coding concepts and be prepared to answer technical questions or even solve a problem on the spot during the interview.