At a Glance
- Tasks: Design and develop data solutions for financial market risk calculations and analytics.
- Company: Join TS Imagine, a leader in trading and risk management software.
- Benefits: Enjoy competitive salary, annual bonuses, health benefits, and a training budget.
- Other info: Dynamic team environment with opportunities for creative thinking and innovation.
- Why this job: Make an impact in finance with cutting-edge technology and innovative projects.
- Qualifications: M.S. or PhD in relevant fields, strong programming skills, and experience with financial data.
The predicted salary is between 56700 - 69300 £ per year.
TS Imagine, a global leader in trading and risk management Saa S-based software, is seeking a Quantitative Data Developer to join our Models and Quantitative Data team in our London office!
As a Quantitative Data Developer, you will play a pivotal role in discovering, designing, developing, and maintaining data solutions that support the valuation of financial positions and the construction of quantitative datasets (e. g., curves, volatility cubes, correlation matrices).
You will also contribute to the development of robust data-driven systems for market risk calculations (e. g., Va R, greeks) in real-time across all asset classes.
Our cutting-edge risk and data solutions are trusted by some of the world’s most prestigious financial institutions, including global investment banks and multi-strategy hedge funds.
- Who will love this job
- A scientist – you are comfortable with numerical methods, linear algebra, partial differential equations, probability theory and statistics
- An engineer – who has a passion for computer science, system performance, clean code and architecture with an owner mentality
- A data enthusiast – You enjoy working with large datasets, transforming raw data into meaningful inputs, and solving complex problems with a methodical approach
- A doer – who is enthusiastic about new challenges, accepts a broad spectrum of responsibilities, and works hard to produce a high-quality result
- A learner – who is not afraid of being outside the comfort zone and is ready to dive into some of the most complicated problems in finance
- An excellent teammate – who has a combination of technical and personal qualities to thrive in a cutting-edge software development environment
- What you’ll do
- Collaborate with Quant Developers on major projects to optimize data pipelines and analytics infrastructure for maximum performance and reliability.
- Design and develop robust data solutions to efficiently process and deliver inputs for pricing models and market risk calculations across various asset classes, including equity, credit, FX, fixed income, commodities, crypto, and their derivatives.
- Develop and manage high-performance, scalable data applications and tools using Python, SQL, and Snowflake to analyze, transform, and ensure the accuracy of large-scale financial datasets for efficient model input construction.
- Document data methodologies comprehensively to provide transparency and support for both internal and external validation processes.
- What you should have
- M. S. or Ph D in mathematics, physical sciences, or engineering preferred
- Demonstrated expertise in quantitative and programming skills, with 3–5 years of experience in large-scale Python development, SQL programming, and working on data-intensive products.
- Experience with other programming languages (C++, Java)
- Understanding of financial derivatives, market conventions and their implementation is a must
- Proficiency with financial data structures like yield curves (OIS, Libor, cross-currency), inflation curves, volatility surfaces, and interest rate volatility cubes (live/intraday data experience preferred)
- Experience in developing risk management tools such as Va R, Monte Carlo, scenario analysis and P&L is preferred
- Why TS Imagine / Benefits
Please note : This role requires applicants to be based in London, as it is an in-office position . Remote work is not possible.
- Vacation and Personal days
- Annual bonus and salary review
- Training Budget $1,500
- Health, dental, life assurance, and eye care vouchers
- Salary sacrifice pension scheme
- About TS Imagine
Created out of the combination of two best-in-class Saa S platforms, Trading Screen and Imagine Software, TS Imagine delivers integrated trading, portfolio and real-time risk solutions for capital markets.
The platform is uniquely positioned to streamline complex and time-consuming workflows across front, middle, and back office functions.
TS Imagine has close to 400 employees in 10 offices worldwide, serving approximately 500 global buy‑side and sell‑side institutions across North and South America, EMEA, and Asia Pacific including hedge funds, traditional asset managers, pension funds, mutual funds, and financial institutions.
We challenge our employees every day to think creatively and innovate across silos and across platforms.
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Quantitative Data Developer employer: TS Imagine
At TS Imagine, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Trading Platform Support Specialist, you will benefit from comprehensive training and development opportunities, ensuring your professional growth while working alongside a talented team in a fast-paced environment. Our commitment to innovation and collaboration makes us an exceptional employer for those seeking meaningful and rewarding careers in the financial technology sector.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Data Developer
✨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 TS Imagine!
✨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 Quantitative Data Developer at TS Imagine.
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We think you need these skills to ace Quantitative Data Developer
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 TS Imagine, 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 TS Imagine. 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 TS Imagine
✨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 TS Imagine!
✨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.
