All active R roles based in United Arab Emirates.
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At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.
If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.
THE WORK:
Ripple is growing, and we're looking to hire a Sales Director based in Dubai. This is a sales quota-carrying position that is responsible for revenue generation through the direct sale of Ripple products and services to financial institutions.
WHAT YOU'LL DO:
WHAT YOU'LL BRING:
WHO WE ARE:
Do Your Best Work
Take Control of Your Finances
Take Care of Yourself
Benefits listed above are for full-time employees.
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The Role
We are seeking an exceptionally talented individual to join our Cross-Asset Derivatives Risk Management team as a Risk Manager. This role will focus on risk management and portfolio oversight of the firm’s Equity Derivatives, Macro EM and Delta One strategies, which include Equity vol, Fixed Income, Index Rebalance & Special situations strategies amongst others.
What you’ll do
As a Risk Manager, you will:
What you’ll bring
What you need:
We’d love if you had:
Who we are
Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.
Our Culture
At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.
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Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.
Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients.
In this role, you'll help the team:
Co-develop production-level data science projects with our customers
Analyse and investigate various kinds of data and machine learning applications across industries and use cases
Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams
Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality
You might be a good fit for the role if you have:
Curiosity and a desire to learn new topics and skills
Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public
The ability to clearly explain complex topics to technical as well as non-technical audiences
2 - 10 years of experience with Python and SQL
2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)
Familiarity with data visualisation in Python and R
Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL
Technical skills that may help you in the role:
Experience with Consulting and/or Customer-facing Data Science roles
Experience with Data Engineering or MLOps
Experience developing WebApps in JavaScript, RShiny, or Dash
Experience building APIs
Experience using enterprise data science tools
Passion for teaching or public speaking
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