At a Glance
- Tasks: Enhance data quality and support systems for our internal teams.
- Company: Join a dynamic team at a leading financial firm.
- Benefits: Competitive salary, flexible hours, and opportunities for growth.
- Other info: Collaborate with diverse professionals in a fast-paced environment.
- Why this job: Make a real impact on data management in the finance sector.
- Qualifications: Strong troubleshooting skills and experience with financial metadata preferred.
The predicted salary is between 49500 - 60500 £ per year.
We’re looking for a Market Data Specialist to join our Metadata team, working on improving and supporting our internal golden copy Security Master and Corporate Action Management systems. You’ll be responsible for configuring our systems to improve data quality, helping with data cleaning and validation, solving support issues for internal clients, and interfacing with our data providers. You’ll be embedded into the Metadata Systems Engineering team and will work with software developers, traders, and operations professionals across the firm.
Responsibilities include:
- Investigating data quality and reliability issues
- Interfacing with exchanges or data vendors, raising, tracking, and resolving issues
- Helping us (the Metadata team and internal clients) understand our data better
- Potentially advising on solutions, e.g., changing monitoring
- Configuring internal services/tools and adding overrides
About You
- Strong debugging and troubleshooting skills
- Excellent written and interpersonal communication skills
- Experience with financial instrument metadata, especially reference data preferred
- Programming experience in any language and knowledge of SQL or other database language(s)
- Confident in a Linux/Unix command-line-driven environment
- Responsible, organised, and great attention to detail
- Operations, support, and customer-centric experience a plus
- Fluency in English required
Market Data Specialist, Metadata employer: Janestreet
Jane Street is an exceptional employer located in Greater London, offering a dynamic work culture that fosters collaboration and innovation. Employees benefit from engaging projects in finance tech, opportunities for professional growth, and a commitment to using cutting-edge technology. With a focus on intellectual curiosity and teamwork, Jane Street provides a rewarding environment for those passionate about software engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Market Data Specialist, Metadata
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Janestreet!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Market Data Specialist, Metadata at Janestreet.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Janestreet.
✨Apply Directly through Our Website
When you find a suitable opening like Market Data Specialist, Metadata at Janestreet, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Market Data Specialist, Metadata
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 Janestreet, 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 Janestreet. 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 Janestreet
✨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!
✨Showcase Your Projects
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 Janestreet!
✨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.
