At a Glance
- Tasks: Develop innovative models and frameworks in a relaxed, tech-savvy environment.
- Company: Join a well-funded RiskTech company with a vibrant culture.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with significant responsibility and excellent career advancement potential.
- Why this job: Make a real impact in the exciting world of credit risk and big data.
- Qualifications: Experience in Python, R, SQL, and a passion for finance and analytics.
The predicted salary is between 135000 - 165000 £ per year.
Python Quant Developer – Risk Tech150,000 Quant Capital is urgently looking for a Python Quant Developer to join our high profile client.
Our client is well funded Techstar Risk Technology business based on the credit risk space.
The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions.
The atmosphere is calm and relaxed with an open dress code.
This is a role for those who are motivated by the sharp end of technology and the possibility of making serious money doing something you are passionate about.
The Quant Developer will:• Develop new models and pricing frameworks to grow the business• Refine, monitor and review existing models.• Work with large data to create prediction and risk models in collaboration with our Senior Risk Analyst• Develop of micro-services to serve various aspects of the business• Work with developers and data engineer to create scalable processes and systems for internal and external applications, data infrastructure and integration with 3rd party services/systems.• Utilise probability, statistics, numerical methods and mathematical optimizations to enhance the product offering and enable the creation of new Risk Tech products.
Passionate about pioneering Risk Tech and leveraging big data in credit risk, you are looking for the opportunity to use your analytics and programming skills to shape the vision and the future of the organisation.
You excel in an open environment where you will have the flexibility to work in a way that suits you best.
With a passion for high-quality innovative businesses, you are experienced in working in multiple programming languages (including Python, R and SQL) and agile development methodologies.
Quant Developers must have: Commercial Python development experience Be knowledgeable about R and SQL Application and understanding of data structures An interest in Finance, credit risk, ML, predictions Relevant professional experience or BSc from a top tier school in Maths Stats, Physics or Engineering Demonstrate empathy, diplomacy, tact, and poise under pressure when working through challenging projects across the organisation Be able to communicate clearly, organise effectively and delegate responsibility so problems are solved quickly This role suits someone from a software development background that is looking to take on serious responsibility.
We are looking for consultants who want to take ownership of products and take considerable responsibility and the bonus that goes with that.
My client is based in London with Home working Quant Developer, Quant C#, C++ SQL, Support, Implementation
Python Quant Developer – RiskTech 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 Python Quant Developer – RiskTech in London
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We think you need these skills to ace Python Quant Developer – RiskTech 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!
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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!
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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 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.
