At a Glance
- Tasks: Lead the development of data strategies and manage high-performance databases.
- Company: Join a renowned fintech firm transforming financial software solutions.
- Benefits: Competitive salary, benefits, and opportunities for continuous learning.
- Other info: Dynamic environment with excellent career growth potential.
- Why this job: Make a significant impact in a hands-on role with cutting-edge technologies.
- Qualifications: 5-10 years experience in MS stack development and strong collaboration skills.
The predicted salary is between 70000 - 70000 £ per year.
Data Architect Fintech70,000 + benefits Quant Capital is urgently looking for a Data Architect to join our high profile fintech client.
My client is a well known financial software house, providing platforms and consultancy to the financial and insurance space.
This is an incredibly important role, as the data architect will take the lead in developing a data strategy and selecting the best technologies to enable the business to grow.
This is a brand new role due to a volume of new customers involving modelling various forms of data for client requirements.
This is a hands on role with no data team present.
Day to day the Data Architect will: Take the lead role in transforming the way data is stored, processed and viewed in the organisation.
Manage the design, development and operation of high performance databases Participate in the analysis and design of features and see them through implementation and delivery.
Ensure production servers maintain 100% availability.
Manage data requirements from PCI compliance, business intelligence and real time analytics.
Continually learn relevant and new technologies/techniques that benefit the business and understand how to apply them.
Collaborating with full stack developers to continually improve database design and performance.
Data Architects Must have: Experience in a small firm Degree in Engineering or Computer Science You will have 5-10 years working with MS stack development Design, development and operation of high performance databases Experience of working on very high transactional load in always on mode.
Experience with highly volatile load profiles.
Experience working collaboratively in multidisciplinary teams with an understanding and belief in agile as a practice.
Experience of building a data warehouse.
Experience supporting BI internally and for customers.
Experience of, or willing to learn alternative database technologies (No SQL) such as Mongodb / Redis / Cassandra.
Experience of performance tuning databases, by design and an in operation.
Strong communications and collaboration skills whether working independently or in a team Strong project and people management knowledge I am not looking for massive ftse 100 enterprise architects who need a full team around them.
- Client
- Tech
Stack: C#ASP.
Net MVC / Web API / Windows Services
Javascript: JQuery / Angular / React Rabbit MQMS SQL Server or Postgre SQLNUnit / Jasmine / Selenium Web Driver Some F#Team City / Octopus / Powershell SSRSWindows Server 2012 R2 / Ubuntu 16.04My client is based in The City of London ETL, Big Data, Architect, Contract Financial Technology, Multi Dimensional Data, Support, Server, Cloud, FIntechh
Data Architect Fintech 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.
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We think this is how you could land Data Architect Fintech in London
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We think you need these skills to ace Data Architect Fintech 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.
