ABOUT BEHAVOX:

Behavox is shaping the future for how businesses harness their most important raw material - data. Our mission is bold: Organize enterprise data into actionable information that protects and promotes the business growth of multinational companies around the world.
From managing enterprise risk and compliance to maximizing revenue and value, our data operating platform presents a widespread opportunity to build multilingual, AI/ML-based solutions that activate data for every function within a global enterprise.
Our approach is unique, and it’s validated by our customers who tell us to keep forging ahead because no one else is aggregating, analyzing, and acting on data to uncover opportunities or solve problems quite the way we are.
We are looking for fearless innovators who have an insatiable appetite for building what no one has built before.

ABOUT THE ROLE

Data Science excellence is an integral part of our client value proposition at MSD. As a Department we conduct independent R&D in fixed income markets focussed on our clients’ strategies, we generate ML deliverables to ensure business impact, and we provide FICC markets expertise across our Company. These activities help us to be able to lead and support our business expansion into FICC market opportunities by ensuring consistent delivery of advanced, accurate and targeted high-quality insights. Our team is growing and we are looking for a world-class new Quantitative Researcher to join our team.
Why is this a great opportunity for a highly talented professional?
1. Opportunity to be part of a leading Front-Office product focused AI/ML company.
2. Exposure to wide variety of ML techniques, working with an expert team of AI engineers including those at Behavox (GenAI).
3. Create impact through your strong mathematical background in stochastic modelling, volatility modelling, statistics and ML (in general).

WHAT YOU’LL DO

• Write production level quantitative strategy in at least 1 business domain that impacts the positive revenue of a trading desk.
• Originate innovative hypotheses which are developed into R&D projects and taken through into client value driving production.
• Apply recent trends and developments in the financial service domain to improve volatility and/or credit risk modelling.
• Make proactive use of cloud computing solutions (like AWS/GCP) and other technological tools to improve model accuracy.
• Use leading research and concepts to adapt thought leadership into innovative applied ML solutions creating positive client impact.