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- Tasks: Join a dynamic team to analyse data and support financial modelling.
- Company: Cubist is a leading firm in predictive modelling for finance, focused on data-driven solutions.
- Benefits: Enjoy flexible work options, collaborative culture, and opportunities for professional growth.
- Why this job: Be part of a small team impacting global capital markets with innovative data solutions.
- Qualifications: Basic programming skills in Python and SQL; financial experience is a plus but not essential.
- Other info: Opportunity to work with cutting-edge technology in a fast-paced environment.
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 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 be a member of a small team of Data Scientists/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
- Identifying potential data sources
- Coordinate with compliance team and legal team on new vendor trial/subscription process
- Assist with collecting and maintaining overviews and vendor content offering
- Assist with data questions and requests from investment teams
- Setting up feed download and monitor check in database
- Monitoring the automated data collection and cleansing infrastructure
- Coordinating meetings and conference calls between data users and experts
- Assist in organizing presentations
- Handle user requests and answer questions about data
- Download trial datasets from vendor FTP sites or other delivery mechanism
- Assist Data Team with manual data processing as required
- Maintain Cubist Data Wiki contents
REQUIREMENTS
- Basic level programming experience in Python and SQL.
- Experience with AWS and Airflow preferred but not required
- Financial industry experience preferred but not required
- Strong organization, communication and interpersonal skills
- Attention to detail and a love of process
- Strong oral and written communication skills
- Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues
- Ability to multitask and prioritize assignments
Cubist Data Analyst employer: Point72 Careers
Contact Detail:
Point72 Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cubist Data Analyst
✨Tip Number 1
Familiarise yourself with the financial industry and its data requirements. Understanding the specific needs of portfolio managers and the types of data they rely on will give you an edge in interviews.
✨Tip Number 2
Brush up on your Python and SQL skills, as these are essential for the role. Consider working on small projects or contributing to open-source initiatives to demonstrate your programming capabilities.
✨Tip Number 3
Network with professionals in the finance and data analysis sectors. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the industry trends.
✨Tip Number 4
Prepare to discuss your organisational and communication skills during the interview. Think of examples where you've successfully managed multiple tasks or communicated complex information clearly.
We think you need these skills to ace Cubist Data Analyst
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the responsibilities and requirements of the Data Analyst position at Cubist. Tailor your application to highlight how your skills and experiences align with their needs.
Highlight Relevant Skills: Emphasise your programming experience in Python and SQL, as well as any familiarity with AWS and Airflow. If you have financial industry experience, make sure to showcase it prominently in your CV and cover letter.
Craft a Strong Cover Letter: Write a compelling cover letter that not only outlines your qualifications but also demonstrates your passion for data and your understanding of the financial sector. Use specific examples to illustrate your problem-solving abilities and attention to detail.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial for this role.
How to prepare for a job interview at Point72 Careers
✨Show Your Passion for Data
Make sure to express your enthusiasm for data and analytics during the interview. Share examples of how you've used data to solve problems or improve processes in previous roles, as this aligns with the company's passion for data.
✨Demonstrate Technical Skills
Be prepared to discuss your programming experience in Python and SQL. You might be asked to solve a technical problem or explain how you've used these skills in past projects, so brush up on relevant concepts and be ready to showcase your knowledge.
✨Highlight Your Organisational Skills
Given the role's emphasis on coordination and multitasking, share specific examples of how you've successfully managed multiple tasks or projects simultaneously. This will demonstrate your ability to thrive in a fast-paced environment.
✨Prepare for Scenario-Based Questions
Expect questions that assess your judgement and decision-making skills. Think of scenarios where you had to handle data-related queries or issues, and be ready to explain your thought process and the outcomes of your actions.
