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- Tasks: Join our team to support data pipelines and ensure smooth operations in finance.
- Company: Cubist is a leader in data solutions for predictive modelling in finance.
- Benefits: Enjoy flexible work options, competitive pay, and opportunities for growth.
- Why this job: Be part of a global team impacting billions in capital markets with innovative data solutions.
- Qualifications: Bachelor’s degree in Computer Science or related field; 3+ years in client support or operations.
- Other info: Experience with SQL Server and Python is a plus; financial industry experience preferred.
The predicted salary is between 28800 - 48000 £ 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 Data Operations Analysts who play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments.
Responsibilities:
- Level 1 support for thousands of mission critical data pipelines.
- Day-to-day operations including data validation, data entry tasks, data cleaning, security audits and reporting.
- Incident management including user communication and reporting for management.
- Developing tools, documentation, and processes to assist with daily operations and support.
- Support for complex permission and entitlements operations across many different systems.
Requirements:
- Bachelor’s degree with a concentration in Computer Science or related discipline.
- 3+ years of experience working in a client facing support or operations role.
- Experience working in Windows and Linux environments both on-prem and in AWS.
- Experience with SQL Server and Python.
- Financial industry experience preferred but not required.
- Attention to detail and a love of process.
- Strong organization, communication, and interpersonal skills.
- Commitment to the highest ethical standards.
Data Operations Analyst employer: Point72 Careers
Contact Detail:
Point72 Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Operations Analyst
✨Tip Number 1
Familiarise yourself with the specific data tools and technologies mentioned in the job description, such as SQL Server and Python. Having hands-on experience or projects that showcase your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the finance and data operations sectors. Attend industry meetups or webinars to connect with people who work at companies like StudySmarter. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Demonstrate your problem-solving skills by preparing examples of how you've handled data-related issues in previous roles. Be ready to discuss specific incidents where you provided support or improved processes, as this aligns closely with the responsibilities of the role.
✨Tip Number 4
Stay updated on trends in data operations and the financial industry. Being knowledgeable about current events and advancements can help you engage in meaningful conversations during interviews, showing your passion for the field and your commitment to continuous learning.
We think you need these skills to ace Data Operations Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience, especially in data operations and client-facing roles. Emphasise your skills in SQL Server, Python, and any experience with Windows and Linux environments.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and your understanding of the financial industry. Mention specific examples of how you've contributed to data validation, incident management, or process improvement in previous roles.
Highlight Relevant Skills: In your application, clearly outline your attention to detail, organisational skills, and ability to communicate effectively. These are crucial for the Data Operations Analyst role, so provide examples of how you've demonstrated these skills in past experiences.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or inconsistencies. A polished application reflects your commitment to quality and attention to detail, which is essential for this position.
How to prepare for a job interview at Point72 Careers
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL Server and Python during the interview. Be prepared to discuss specific projects where you used these skills, as well as any challenges you faced and how you overcame them.
✨Demonstrate Attention to Detail
Since the role involves data validation and cleaning, it's crucial to convey your attention to detail. You could share examples of how you've ensured data accuracy in previous roles or how you've implemented processes to minimise errors.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities, especially related to incident management and user communication. Think of scenarios from your past experiences where you successfully handled a critical issue and be ready to explain your thought process.
✨Understand the Financial Context
Even if you don't have direct financial industry experience, familiarise yourself with basic concepts in finance and trading. This will show your enthusiasm for the field and your willingness to learn, which can set you apart from other candidates.
