At a Glance
- Tasks: Support clients and ensure smooth service delivery while managing market data compliance.
- Company: Join a dynamic team in a leading market data firm.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Other info: Fast-paced environment with great potential for career advancement.
- Why this job: Be the go-to person for clients and make a real impact in the market data space.
- Qualifications: Strong communication skills and experience with CRM systems are essential.
The predicted salary is between 40500 - 49500 £ per year.
Job Description
As a Market Data and Repository Analyst, you will join a team that combines client support, operational oversight, and market data and regulatory compliance responsibilities.
The successful candidate will work closely with clients and internal teams to ensure smooth service delivery, business and client compliance with regulations, and client compliance with market data policies.
Responsibilities
- Client Support
- Work with a wide range of global clients as the first point of contact for client inquiries, ensuring timely and professional resolution.
- Facilitate the onboarding, entitlement, ongoing support and/or termination processes for clients using our services/products.
- Maintain strong relationships with clients through regular communication and feedback loops.
- Operations Support
- Monitor and manage daily operational workflows to ensure smooth service delivery.
- Assist in resolving operational issues, escalating where necessary.
- Collaborate with internal teams (e. g., product, dev, compliance) to improve processes and client experience.
- Market Data Compliance & Audit
- Assist in audit reviews of ICE customers, including analysis of technical data flows and entitlement controls.
- Consult with clients (hedge funds, investment banks, proprietary traders, redistributors) on audit controls and compliance requirements.
- Support the audit process from notification and analysis through to resolution of any issues.
- Knowledge and Experience
- Strong communication and interpersonal skills with a client-first mindset.
- Proven ability to manage multiple tasks and priorities in a fast-paced environment.
- Experience with CRM systems, ticketing tools, and operational dashboards.
- Analytical thinking and problem-solving skills to identify and resolve issues efficiently.
- Familiarity with compliance and governance issues related to market data licensing.
- Strong organizational skills and attention to detail.
- High work ethic, self-motivated, and proactive approach.
- Knowledge of software development, life cycle and experience with Agile methodologies.
- Ability to work with technical teams (QA and development) as well as sales and end users.
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Market Data Analyst employer: ICE Clear Europe Limited
ICE Clear Europe Limited is an exceptional employer, offering a dynamic work environment in the heart of London where innovation and collaboration thrive. With a strong focus on employee growth, we provide ample opportunities for professional development and career advancement, alongside a supportive culture that values teamwork and excellence in project delivery. Join us to be part of a forward-thinking company that champions Agile methodologies and empowers its employees to lead impactful software initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Market Data Analyst
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We think you need these skills to ace Market Data Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at ICE Clear Europe Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ICE Clear Europe Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at ICE Clear Europe Limited
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at ICE Clear Europe Limited!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
