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:

• Report to the Head of Cross-Asset Derivatives Risk and partner daily with Portfolio Managers, Strats, and developers to monitor portfolios and design solutions that reduce concentration and stress risks.
• Build, implement and validate models that power both risk management and the investment process.
• Partner with our Technology organisation to enhance data infrastructure, automate risk-limit monitoring and streamline raw-data ingestion.
• Work with Portfolio Managers, providing regular and ad-hoc analytics on strategy performance, risk profiles and tail-risk scenarios.
• Collaborate with strategy COO, fellow risk managers and tech teams to build and maintain the modelling, pricing and analytics toolkit that powers our multi-strategy platform.

What you’ll bring
What you need:

• A minimum of 5 years’ relevant experience in a PM-facing role
• Strong knowledge of equity derivatives and portfolio risk management
• Knowledge of quantitative finance including risk-neutral options pricing and cross-sectional factor models
• Experience analyzing and modeling large data sets
• Strong coding skills in one or more languages such as R, Python or C++
• Experience working with relational databases such as MySQL
• Strong communication skills

We’d love if you had:

• Direct experience in Macro, Delta one and Equity Derivatives Strategy

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.

#LI-DK1

About the team

The Careem Data Science team’s mission is to drive competitive value from data at scale through building AI models to optimize user experiences, decision-making, operational efficiencies, and lead the region’s AI ecosystem. As one of the tech leaders in this team, you will be at the forefront of fulfilling this mission. You will be working with the top data science talent of the region, while innovating on our user experience using GenAI.

What you'll do

• Be part of a 0-1 AI transformation for the Careem app from a personalization perspective.
• Build a long-term vision on how we can rethink our customer acquisition and engagement strategies, leveraging data in our decision-making.
• Drive exploratory analysis to understand the ecosystem, user behavior, and identify new levers to help move metrics and build models of user behaviors for analysis and product enhancements.
• Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.
• Provide product leadership by sharing data-based recommendations to communicate the state of the business, the root cause of change in metrics, and experimentation results, influencing product and business decisions
• Implement scalable machine learning algorithms that will be used in production on big data.
• Embark on exploratory data analysis projects to achieve a better understanding of phenomena as well as to discover untapped areas of growth and optimization. 
• Answer complex analytic questions from big data sets to help Careem shape its products and services in a better way.
• Help define and track the appropriate key metrics for specific projects. 
• Design and run randomized controlled experiments, analyze the resulting data, and communicate results with other teams.
• You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.
• Build and deploy retrieval augmented generation systems and other applications of large language models.

What you'll need

• 7-9 years of experience in data mining, predictive modeling, time series analysis, machine learning, Big Data methodologies, and transformation and cleaning of both structured and unstructured data.
• Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science.
• Solid experience with Deep Learning Techniques (e.g, attention, retrieval models, etc)
• 1-2 years of industrial experience in personalization, recommendation or search is a MUST. Preferably working in a product-driven company.
• Strong problem-solving and coding skills.
• Solid knowledge of AB testing, classic ML, and DL
• Solid understanding of recommendations, ranking, and retrieval. 
• Proficiency and demonstrated experience in: Python, SQL, Spark, Hive.
• Demonstrated experience with database technologies (e.g. , Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL).
• Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik) along with geospatial data processing skill, is a plus.

We are hiring for one of our ecosystem projects, an innovative AI and Web3 company building an Ethereum Layer 2 solution integrated with advanced AI agents. As the first engineer dedicated to this initiative, you will play a pivotal role in its development, with potential opportunities to build and lead a team in the future.

Key Responsibilities

• Design and implement AI platforms, encompassing both front-end interfaces and back-end services.
• Collaborate with other developers and AI engineers on data preprocessing, model training, and optimization.
• Deploy AI models into production environments, ensuring performance, scalability, and reliability.
• Develop and maintain data processing pipelines to ensure data quality and consistency.
• Stay updated on AI technology trends, advocating for the integration of new technologies into our products.
• Contribute to other projects based on the company’s product development progress

Requirements

• Bachelor’s degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
• 5 years of full-stack development experience, proficient in both front-end and back-end technologies.
• Expertise in front-end and back-end technologies (especially Golang)
• Eager to explore and could use new technologies related to AI that help improve working efficiency
• Strong curiosity and willingness to explore new product directions, identify potential AI applications, and contribute to product innovation.
• Familiarity with Web3, blockchain, and the crypto industry, with insights into different product models and a personal perspective on industry trends and innovations.
• Excellent communication skills and a collaborative team spirit, with the ability to independently solve problems and take initiative.

Preferred Qualifications

• Knowledge in data processing and analysis will be a plus, with knowledge of SQL and NoSQL databases such as MySQL, PostgreSQL, or MongoDB.
• Experience in deploying and optimizing AI agent
• Experience contributing to open-source projects
• Build high-performance APIs and microservices to support large-scale Web3 application
• Familiarity with large-scale data processing technologies such as Hadoop or Spark.

The Role

Ziina is looking for a Full-Stack Engineer to join our team. We have laid a strong foundation upon which we’ve shipped our product. We are looking for someone to help us build engaging new features, who is obsessive about delivering high quality products and can shape our engineering organization to be the kind of place that bright young minds from across the region aspire to work for.

As our team is small, our ideal candidate is a creative thinker excited to solve hard problems to build something from the ground up. They can move quickly, clearly articulate tradeoffs, and have the judgement to own features independently. They are obsessive about delivering great, high quality products to our users. We are ambitious and excited to build big things, and we’d love to bring on someone who is as well.

As a Full-Stack engineer at Ziina you will:

• Collaborate with world-class product, design, operations, and engineering teams to determine which features and solutions will deliver the most value for the business and the best experience for our users.
• Own, develop, and deliver end-to-end feature implementations spanning both the frontend and backend. You will take features from design, to implementation, to polish, to shipping, to monitoring and measuring progress.
• Actively participate in design discussions and collaborate with the product team to ensure web and mobile interfaces are user-friendly and intuitive, while integrating effectively with backend services and APIs.
• Review code and continuously level up by collaborating with other engineers on the team.
• Help shape our engineering culture by introducing best practices, tools, and methods of knowledge-sharing for building best-in-class products.

To succeed in this role, you likely: 

• Have 4+ years of full-stack development experience.
• Demonstrate high integrity and a team-first mindset
• Take ownership and show initiative, with a strong bias toward action
• Thrive in bringing clarity and structure to ambiguous problems
• Are curious, proactive, and eager to learn and grow
• Communicate clearly and collaborate effectively across teams
• Can define and articulate technical and design requirements
• Write clean, high-quality, testable, and well-documented code
• Think analytically, with strong data-driven decision-making and customer focus
• Are based in, or open to relocating to, the UAE

What would amaze us

• Proficiency with frontend technologies such as React, Next.js, Angular, or Vue, and backend technologies like Node.js, Django, or Ruby on Rails.
• Experience with relational databases like PostgreSQL or MySQL.
• Strong understanding of RESTful APIs and experience with web servers, application architecture, and deployment strategies.
• A solid grasp of version control tools, preferably Git.
• Experience in integrating third-party services and APIs into a complex application ecosystem.

Our tech stack

We’ve built a modular architecture with the principles of reliability, scalability, and maintainability in mind. Our current stack is:

• Typescript, Node.js and Nest.js for our main application’s backend.
• Swift/SwiftUI for our iOS app, Kotlin for our Android app.
• Next.js, React and Typescript for our web applications.
• GraphQL Federation for our client-facing APIs and Kafka for our inter-service communication.
• PostgresSQL for consistent and durable storage, Redis for quick fetching, Elasticsearch for quick searching.
• AWS for hosting our cloud infrastructure and Kubernetes for orchestrating our workloads.
• Terraform for IaC
• Github Actions for CI/CD.