At a Glance
- Tasks: Join a fintech team to develop and implement innovative compliance products using data analysis.
- Company: Dynamic fintech company disrupting the compliance space with AI and data.
- Benefits: Competitive salary, rapid career progression, and a collaborative work environment.
- Other info: Opportunity for client interaction and professional growth in a supportive team.
- Why this job: Make a real impact in financial services while working on exciting projects.
- Qualifications: Experience in financial services, strong data analysis skills, and a relevant educational background.
The predicted salary is between 54000 - 66000 Β£ per year.
Quant Capital is urgently looking for a Data Scientist to join a well-known fintech business in the big financial data space. Their product is disrupting the compliance space using AI and data analysis. Core to their product is technology as well as the ability to automatically analyse very unclean data using natural language processing.
The Data Science role has come around due to massive growth within the firm, currently standing at 45 people. The role will report directly to the CTO and involve working with clients to understand how their data and products are used. Data Scientists should have a keen interest in data and its uses, alongside technology to automate business functions. Programming experience is desired but not essential. This role will also involve client facing so ideally you should be happy to do this.
The Data Scientist Will:
- Work with client and product development to produce and implement a compliance product.
- Implementations
- Product Development
- Some training
- Data Analysis
- Acting as a subject matter expert within the compliance data space
- Some project management
I am looking for a client-facing and ambitious Business Analyst or Data Scientist (could be a developer) with excellent data analysis skills and some experience of compliance or financial services. You will have the opportunity to work in a friendly, collaborative environment on advanced projects that are important to clients and their businesses.
Data Scientists Must Have:
- Experience within financial services ideally compliance
- Experience of data analysis
- Strong Educational background ideally masters or BSc Comp Sci
- Understanding of large scale data analysis
- Ideally the ability to use SQL
This is a great opportunity to work in a challenging, high profile role within a successful small company with blue-chip financial services clients. You will be working on interesting projects with highly experienced professionals. If you are passionate about delivering outstanding client service and want to take control of your own career progression then this role is for you.
This role suits a business analyst with some financial experience in compliance as well as a very strong educational background. The firm has a corporate feel but relies on entrepreneurship within its staff. It rewards on a pure merit basis with rapid progression actively encouraged. This team has a strong reputation in the market as breeding quick thinkers and adding real value to banking teams.
My client is based in London.
Data Scientist β Compliance 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 Adviceπ€«
We think this is how you could land Data Scientist β Compliance in London
β¨Get Involved in Data Science Meetups
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When you find a suitable opening like Data Scientist β Compliance 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 doesnβt love a direct application? Itβs easier than navigating through job boards!
We think you need these skills to ace Data Scientist β Compliance in London
Some tips for your application π«‘
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. Donβt 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 youβre 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
β¨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!
β¨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, itβll really make us stand out!
β¨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!
β¨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how weβd 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.