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- Tasks: Transform raw data into actionable insights and optimize trading behaviors.
- Company: Join a well-established exchange in London with a culture of trust and collaboration.
- Benefits: Enjoy 25 days annual leave, private medical insurance, flexible hours, and a share incentive plan.
- Why this job: Be part of a supportive team that values innovation and personal integrity while developing your career.
- Qualifications: Degree in a math-related field and at least 1 year of relevant experience required.
- Other info: Ideal for those with advanced Python and Excel skills, and a passion for financial markets.
The predicted salary is between 28800 - 43200 £ per year.
(Execution, Trading, Exchange, Financial Services, Python, Pandas)
Offering Remote working
An excellent role has arisen for a Data Analyst to join a well-established exchange based in London, City. Ideally, we seek candidates who have experience using Python (Pandas). My client’s culture is one of trust, openness, and excellence. They work in a collaborative style and take collective responsibility for successes and failures.
My client’s values:
- High personal integrity
- Innovative thinking
- Efficient and reliable performance
- Spark
The successful candidate will join a supportive team, where they aim to recruit the best people from all walks of life and diverse business backgrounds. If these sentiments align with your thinking, then this role/company could be the ideal place for you to develop your career.
Benefits:
- 25 days annual leave – not including bank holidays
- Private medical insurance
- Flexible working hours
- Company pension
- Group Policies Life Assurance, Income Protection and Critical Illness
- Discretionary bonus
- Share Incentive Plan
Job Overview:
- Build systems to transform raw data into actionable insights for both my client and trading members.
- Ideally, we seek candidates who have experience using Python (Pandas).
- Understand complex member trading patterns and contribute to building robust frameworks.
- Increase our internal understanding of both our own market as well as the whole European landscape.
- Provide data to management to help strategic decision making.
Responsibilities and Duties:
- Use data insights and statistical reporting to contribute to promoting my client’s USPs.
- Simulating changes in member trading behaviours to identify potential optimisations.
- Ensure daily operational efficiency within the team by identifying areas for automation, especially in existing processes.
- Creatively visualizing data sets to enable sales to easily read and understand large data sets.
- Interacting with team members to gauge what requirements they would want daily.
Desired Experience:
- Degree level of education, with a mathematical element to it.
- At least 1 year of experience in the field or of a similar role.
- Advanced level of Python, with knowledge of Pandas.
- Advanced level of Excel, with knowledge of VBAs.
- Effective communicator.
Skills:
- Demonstrable working knowledge of financial markets, electronic trading, equity market structure.
- Experience in data visualization tools (Tableau or other similar data visualization tools).
- Innovative problem solver with the ability to quickly identify and understand issues.
- Must possess strong communication, writing, analytical, quantitative and research skills.
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Data Analyst employer: Chicago Organizing
Contact Detail:
Chicago Organizing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarize yourself with the specific financial services and trading environments that the company operates in. Understanding the nuances of the market can give you an edge during interviews.
✨Tip Number 2
Showcase your experience with Python and Pandas by preparing a small project or analysis that demonstrates your skills. This practical example can be a great conversation starter during interviews.
✨Tip Number 3
Engage with the company's culture by researching their values and mission. Be ready to discuss how your personal integrity and innovative thinking align with their collaborative environment.
✨Tip Number 4
Network with current or former employees on platforms like LinkedIn. They can provide insights into the company culture and potentially refer you, which can significantly boost your chances of landing the job.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and Pandas, as well as any relevant projects or roles that demonstrate your analytical skills. Use keywords from the job description to align your experience with what the company is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company's values of trust, openness, and excellence. Mention how your background in data analysis and financial services aligns with their needs and how you can contribute to their team.
Showcase Your Skills: If you have experience with data visualization tools like Tableau, be sure to mention this in your application. Provide examples of how you've used these tools to create actionable insights or improve operational efficiency.
Highlight Team Collaboration: Since the company values collaboration, include examples in your application that demonstrate your ability to work effectively within a team. Discuss any past experiences where you contributed to collective successes or learned from failures.
How to prepare for a job interview at Chicago Organizing
✨Showcase Your Python Skills
Be prepared to discuss your experience with Python and Pandas in detail. Bring examples of projects where you've used these tools to analyze data or automate processes, as this will demonstrate your technical proficiency.
✨Understand Financial Markets
Familiarize yourself with the basics of financial markets and electronic trading. Being able to discuss market structures and trading patterns will show that you have a solid understanding of the industry, which is crucial for the role.
✨Communicate Effectively
Since effective communication is key, practice explaining complex data insights in simple terms. This will help you convey your findings clearly to team members and management during the interview.
✨Demonstrate Innovative Thinking
Prepare to share examples of how you've approached problem-solving creatively in past roles. Highlight any instances where you've identified optimizations or improvements in processes, as this aligns with the company's values.
