About us
InvestSuite is a fast-growing global B2B embedded wealth (front-to-middleware) InvestTech provider. We help financial institutions realize their digital wealth transformation journey and together create the most delightful investing experiences for their customers. We have 15 nationalities building in "international DNA" and clients on 4 continents. We are a place where bankers, creative designers, imagineers, mathematicians, computer & behavioral scientists meet. We are builders and growers, obsessed with innovation and the construction of exciting products that benefit the clients of our clients. We are excited to work at the crossroads of ‘the markets’, investing, economics, deep science (AI & machine learning), finance, design and the digital world. Can there be anything more challenging?
Who are we looking for
We’re looking for a quantitative analyst that is highly motivated, self-starting, passionate and intrigued by the crossroads of finance, mathematics, design, and computer science. As part of our R&D and development teams you will contribute to a broad range of applications including among others portfolio optimisation, fundamental factor analysis, AI-based news search engine, performance attribution etc. You will develop in Python and make the applications available via API to both apps managed by InvestSuite as well as 3rd party services.
Main responsibilities
Maintain and develop quantitative finance applications to meet and exceed our customer’s needs.
Implement and refine machine learning models for financial applications
Design and implement clean and scalable solutions
Adapt our techniques and solutions to stay ahead
Conduct rigorous data analysis to identify trends, patterns, and insights in structured and unstructured financial data
Perform code reviews and ensure best practices in software development
Troubleshoot and resolve technical issues as they arise
Collaborate with cross-functional teams to integrate quantitative models into various applications
Document and communicate methodologies, results, and findings to stakeholders
Socialize your skills and elevate your colleague’s understanding of the possibilities
Stay updated with the latest advancements in quantitative finance, machine learning, and related fields
Target profile & traits
Highly driven and committed - you deliver high-quality products within deadlines
Solution-minded - you avoid politics & find effective ways to get the job done
Direct and open - you are always willing to share and speak your mind
Smart and creative - you find creative ways to get things done & accomplish goals
Customer centric - you seek to delight customers/users with all your work
Quality-minded - you deliver top quality & expect the same from others
Naturally curious - you crave new knowledge & best practices about your field
Required skills & experience
Graduate MSc / PhD's in mathematics, statistics, physics, engineering or computer science
Professional experience in quantitative investment analysis
Professional experience working with financial data sets and financial markets
Advanced programming skills
English fluency - spoken & written
AI competence and familiarity with key AI tools.
Other skills & experience we would love to see
Expertise in convex optimisation methodologies
Experience in performance attribution
Affinity with natural language processing
Knowledge of cloud and serverless architectures (AWS)
Familiarity with version control systems (e.g., Git)
Experience with API development and integration
Ability to work in an agile development environment
Interest in financial technology (fintech) innovations
Our offer
Be part of a growing team of interdisciplinary experts in fields such as: math, software engineering, AI, data science, design and UX. Join us and enjoy:
An international environment: We have an office in Leuven and are present in many countries in the EU but also other continents.
Attractive remuneration: We offer a competitive salary and benefits package.
Self-development: We actively encourage you to join conferences and trainings to improve your knowledge and widen your network.
Equal opportunity: All qualified applicants will receive consideration for employment without regard to age, race, religion, sex, gender identity or expression.