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 Mosaic Smart Data
Mosaic Smart Data (https://mosaicsmartdata.com) is a cutting-edge analytics platform designed to transform the way financial institutions handle their transaction data. Founded in 2014, Mosaic specializes in providing real-time, actionable insights for sales and trading professionals in the Fixed Income, Currencies & Commodities (FICC) markets.
Through advanced AI and machine learning capabilities, Mosaic empowers some of the world’s largest banks to optimize performance, identify opportunities, and drive revenue growth through its MSX and MSX360 platforms. These platforms consolidate vast data sources to deliver personalized, real-time insights that give clients a competitive edge in today’s data-centric financial environment.
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 focused on our clients' strategies, we generate ML deliverables to ensure business impact, and we provide FICC markets expertise across our Company. Our team is growing and we are looking for a world-class new Quantitative Researcher to join our team.
What You'll Bring
- A deep and genuine interest in MSD as demonstrated by a connection to its mission, marketplace and/or technologies.
- 5+ years of Front-Office exposure to market-making/client analytics or pricing models (preferably in an Investment Bank).
- In-depth knowledge of quantitative finance e.g. stochastic calculus, volatility modelling, price/risk attribution, client strategies.
- Extensive knowledge of FICC markets and maths including strong trading knowledge in one asset class (Rates, Credit or FX).
- Strong level of coding experience in Python and knowledge of ML tools/libraries like TensorFlow/PyTorch or PyMC3.
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.
What We Offer
- A truly global mission with a passionate highly talented community in locations all over the World.
- The ability to have significant impact and potential for learning as our aspirations require bold innovation.
- A highly competitive cash compensation package with performance bonuses baked into salary payments.
- A flexible work schedule that allows for Remote or Hybrid work as appropriate to the role and location.
- A very generous time-off policy (30 days annually), with public holidays for your geography in addition.
About Our Process
We take Talent very seriously and we are building a community of extraordinary individuals working together in very high-performing teams. We also know that the best Talent always has options so we believe that the process has to be a two-way assessment - the company AND the candidate assessing the business needs alignment, the career next step alignment, and the cultural alignment.
During the process we will begin by exploring the core factors regarding salary and location along with core experience and skills and values alignment. We will then deep dive explore the critical technical competencies we have identified for the role, and then we will deep dive in behavioral competencies.
The most aligned candidate will then be asked to do a practical work task simulation activity so we can make sure that you will enjoy the kind of work the role requires, and this task will typically be presented and discussed with a group of colleagues and managers.
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