At a Glance
- Tasks: Integrate market data and manage large-scale application rollouts in a dynamic trading environment.
- Company: Join a leading quantitative trading firm known for innovation and collaboration.
- Benefits: Competitive salary, bonuses, hybrid work, and a culture of learning.
- Other info: Experience a fun, progressive workplace with excellent career growth opportunities.
- Why this job: Be part of a high-skilled team that values automation and knowledge sharing.
- Qualifications: STEM degree, strong market data knowledge, and proficiency in Linux and SQL.
The predicted salary is between 63000 - 77000 £ per year.
Market Data Integration Engineer150,000 Plus Bonus Quant Capital is urgently looking for a Market Data Integration Engineer to join our high profile client.
Our client is a well known quantitative proprietary trading firm, liquidity provider and market maker.
They operate globally and are considered to be a market leader in their field.
For any technologist this is the place to be, they offer an intellectual, fun and progressive environment where you are encouraged to think outside the box.
This is an environment of Google or a well-funded Fin Tech startup where tech is number one with huge budget allocated towards this.
The firm is known globally for its attitudes and rigour more importantly, you will be surrounded by smart people deeply interested in teaching what they know, and in learning from you.
The Market Data Integration Analyst will be responsible for rationalizing the delivery of Products and Technology Infrastructure working closely with Development, Trading, Infrastructure, Project Management, Quality Assurance, Support teams.
The team strives to develop deep understanding of Front to Back trading flows, Trading Infrastructure, research data sourcing frameworks and microservices architecture to manage delivery of these services to production and research environments.
The team also works as a gatekeeper of scheduled changes to these environments and owns the Change Management workflow.
Day to Day the Market Data Integration Analyst will: Act as an integration specialist with the ability to assess impact and facilitate deployment of changes to any component into the production environment.
Project manage large scale firm wide roll outs of applications which are pre-tested functionally in a pilot mode.
Production pipe cleaning orders coordination and support to trading and operations.
Provide post release support for application changes by working with development teams.
Develop and document go live workflows and checklists.
The Market Data Integration Analyst should have: STEM degree Strong Market Data Knowledge Good understanding of software/hardware concepts, software development life cycle and processes around them Proficient in Linux OSProficiency with Bash and any scripting language such as Python Experience in SQL (Postgre SQL, My SQL, MS SQL)Experience with the Atlassian stack (JIRA, Service Desk, Confluence, Bitbucket, Bamboo)Working knowledge of one or more financial products such as Cash Equities, Bonds, Derivatives, Currencies, Commodities, FX.
My client automates as much as they can because it reduces human error and the team holds the view that automating is also enjoyable and that should be how you also see it.
This is a fantastic opportunity to work in one of the highest skilled trading teams around with a deep culture of sharing knowledge and experimentation with technology.
My client is based in London hybrid working is available
Market Data Integration Engineer in London employer: Quant Capital
Quant Capital is an excellent employer for those looking to thrive in the fintech sector, offering a vibrant work culture that fosters innovation and collaboration. With substantial training and development opportunities, employees can enhance their skills while enjoying a flexible hybrid work model in the heart of London. Join us to be part of a forward-thinking team that values growth and cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Market Data Integration Engineer in London
✨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 Quant Capital!
✨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 Integration Engineer at Quant Capital.
✨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 Quant Capital.
✨Apply Directly through Our Website
When you find a suitable opening like Market Data Integration Engineer at Quant Capital, 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 Integration Engineer in London
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 Quant Capital, 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 Quant Capital. 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 Quant Capital
✨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 Quant Capital!
✨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.
