Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• Your core objective is to create high quality predictive signals.
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
• Share and discuss research results, methodology, data sets and processes with other researchers.
• Implement the signals and the relevant datasets within the global execution platform.
• Monitor signal behaviour and model performance over time.
• You would lead the full strategy research cycle from signal generation to implementation.

Your present skillset

• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
• Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#).
• Experience in exploring large datasets across multiple time frames is a plus.
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
• Capacity to work with autonomy within a collegial and collaborative environment.
• Strong capacity to communicate with technologists, data scientists and traders across the globe.
• Proven track record in delivering successful systematic strategies.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Employment Type: Full-time & Permanent 

Location: Dubai, UAE (Visa sponsorship and relocation assistance provided)  

Annual Base Salary range of $80,000 - $110,000 per annum + performance-based bonus - 0% tax environment + opportunity to join our employee share scheme 

About Cobblestone Energy 

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence. 

Cobblestone Values 

• Excellence in Hiring & Teamwork 
• Lifelong Learning Through Continuous Reflection 
• Independent Thinking Through a Meritocracy of Ideas 
• Winning 

 Job Description  

• We are looking for an Exceptional Software Engineer to join our automated trading team, focused on building and optimizing high-performance automated trading systems and supporting infrastructure. In this role, you will collaborate closely with traders, quantitative analysts, and infrastructure specialists to develop robust, scalable, and innovative solutions that directly impact our firm's trading operations. 

What we offer in this role   

• Competitive remuneration with rapid progression for strong performers.  
• Leadership opportunities on impactful technical initiatives.  
• Participation in the employee share scheme.  
• Internation relocation support.  
• Exposure to the commercial side of the business.  
• A highly collaborative and open working culture. 

Requirements 

• BS/BE in Computer Science, Software Engineering, or a related discipline 
• 2 to 5 years of hands-on software development experience in C#, C++ or Python 
• Proven experience building or contributing to trading systems with an understanding of orderbook structure, own order management and trade execution 
• Strong understanding of database design and system architecture for low latency systems 
• Ability to lead discussions, make sound architectural decisions, and deliver results 
• Strong communication skills and a collaborative mindset 
• Resilient, self-driven and aligned with Cobblestone's values 

Responsibilities 

• Design, develop, and optimize high-performance automated trading and infrastructure systems. 
• Collaborate closely with traders, quant analysts, and infrastructure teams to deliver solutions supporting quantitative trading strategies. 
• Develop robust, scalable software components to manage real-time market data pipelines, automated order execution, and risk management processes. 
• Ensure system reliability through automated testing, code reviews, and continuous integration and deployment practices. 
• Monitor and improve system performance, latency, and throughput in a fast-paced trading environment. 
• Investigate and resolve complex technical issues in production systems swiftly and accurately. 
• Maintain comprehensive documentation of software systems and processes to facilitate knowledge sharing and system support. 
• Participate in regular code reviews and adhere to established coding standards and best practices. 
• Contribute to continuous innovation through researching new technologies and tools to enhance the trading platform. 
• Mentor and support junior engineers. 

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

The Role

Exciting career opportunities are on the horizon! Schonfeld will open a wide range of roles across many offices and many departments this August for the Class of 2027. Whether your passion lies in investing, technology, data, operations, or corporate functions, you’ll find dynamic positions that let you make an immediate impact and grow alongside our world-class team. Keep an eye on our careers page and be ready to apply when postings go live—you won’t want to miss the chance to build your future with us.

Our Internship

Kick-start your career in finance with the Schonfeld Internship! Over the course of 12-16 action-packed weeks, you will have the opportunity to build solutions that tackle real-world challenges and leave a lasting impact on the firm. As an intern, you’ll join a close-knit team that is ready to support your growth and accelerate your career. We will pair you with a dedicated manager and a mentor who’ll guide your development over the course of the internship and beyond. Throughout the program, you will have the chance to connect with senior leaders through a series of learning sessions, attend hands-on skills workshops, network at social events and get a behind-the-scenes look at how various functions power the firm. We’ll empower you to bring your ideas to life and make an impact.

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.

The annual base pay for these role is expected to be between $45,000 and $150,00 which will be prorated based on internship role,  start and end date. The expected base pay range is based on information at the time this post was generated. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications and experience and level of education.

ABOUT CUBIST

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

ROLE/RESPONSIBILITIES:

• Building components for both live trading and simulation of global equities portfolios
• Building tools for simulation, portfolio construction, dashboards, and the research framework
• Designing and deploying new features to improve portfolio construction methodology and process
• Maintaining and updating the platform, ensuring its stability, robustness, and security
• Identifying deficiencies in the trading platform and deploying solutions
• Developing robust data checking and storage procedures
• Troubleshooting and resolving any systems related issues and handling the release of code fixes and enhancements

REQUIREMENTS:

• Master’s degree or higher in mathematics, statistics, computer science, or other quantitative discipline
• 2+ years of experience designing and developing research tools at a tech firm or quant hedge fund
• Experience with systematic portfolio construction for equities a plus
• Strong programming skills in Python
• Experience with kdb, database design, and large datasets
• Willing to take ownership of his/her work, working both independently and within a small team
• Commitment to the highest ethical standards

ABOUT CUBIST

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

ROLE

Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group.

RESPONSIBILITIES

• Conduct original quantitative alpha signal research
• Follow, digest and analyze the latest academic research
• Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis
• Build analytical tools to supplement our shared research framework 

REQUIRMENTS 

• B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
• Programming in Python (or comparable language) and working knowledge of SQL
• Strong analytical and quantitative skills.
• Willingness to take ownership of his/her work.
• Ability to work both independently and collaboratively within a team.
• Strong desire to deliver high quality results in a timely fashion.
• Detail-oriented.
• Prior experience in the financial services industry is not required. 
• A commitment to the highest ethical standards. 

ABOUT CUBIST

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

JOB DESCRIPTION

Researchers are responsible for independently conducting quantitative finance research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.

Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior.

DESIRABLE CANDIDATES

• MS or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
• 3-7 years of experience in alpha driven quantitative research for equities, futures, fixed income, credit, and/or FX
• Strong analytical and quantitative skills
• Demonstrated ability to conduct independent research utilizing large data sets
• Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
• Detail-oriented
• Willing to take ownership of his/her work, working both independently and within a small team

We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that you’ve worked outside of school, or as part of your curriculum. If you’re proud of the work you did we want to hear about it. In addition to exceptional statisticians and engineers, we work with talented musicians, writers, mathematicians, and founders of non-profits; we’d love to learn more about what excites you.

About Cubist

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role

Data Scientists bridge the gap between raw data and predictive modelling. We believe everything starts with data. You will work closely with our quantitative research team, applying advanced techniques to engineer, validate, and refine features that feed directly into our systematic models. This is a role within an established investment team, offering opportunities for progression into more senior research responsibilities across the full trading pipeline.

Responsibilities

• Conduct thorough data analysis under the mentorship of a senior quantitative researcher.
• Generate novel ideas for enhanced proprietary data products.
• Track and evaluate new offerings from internal and external data vendors in partnership with Compliance.
• Transform firm approved raw datasets into robust features for our systematic models.
• Build analytical tools to supplement our shared research framework.

Requirements

• BS, MS or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
• Programming in Python (or a comparable language) and working knowledge of SQL.
• Strong analytical and quantitative skills.
• Willingness to take ownership of their work.
• Ability to work both independently and collaboratively within a team.
• Strong desire to deliver high quality results in a timely fashion.
• High attention to detail.
• Prior experience as a data analyst, data sourcing specialist, or data scientist for a financial firm is a plus
• Commitment to the highest ethical standards.

A blockchain foundation powering a L1 network, focused on enhancing user accessibility within the DeFi space is seeking a UX Researcher. This role is integral to understanding user behavior and advocating for user-centric improvements in our products.

Responsibilities

• Conduct comprehensive user studies to gather insights on user behavior and preferences.
• Analyze research findings to inform design and product decisions.
• Advocate for user needs throughout the product development process.
• Collaborate with product and design teams to create user-friendly interfaces.
• Develop and implement research methodologies tailored to project goals.
• Present research findings to stakeholders to drive strategic decisions.

Required Skills

• Background in Psychology, Human-Computer Interaction (HCI), or a related field.
• Proven expertise in various research methods, including user interviews, surveys, and usability testing.
• Strong analytical skills and the ability to translate data into actionable insights.
• Excellent communication skills to effectively convey research findings to diverse audiences.
• Experience in the blockchain or DeFi sector is preferred but fintech, finance, consumer application experiences open too.

About the Role

We are seeking a highly capable Head of Business Development  to lead our user acquisition, channel development, performance growth, and regional market strategy. This role requires strong crypto derivatives experience, proven revenue performance, and existing networks within the blockchain, trading, and investment ecosystem. The position is based in Dubai, managing a high-performing team across multiple markets.

Key Responsibilities

1. User Acquisition & Growth

• Leverage existing networks in blockchain, investment, funds, trading, stocks, and crypto communities to drive new user acquisition.
  
  
• Develop user acquisition strategies, execution rhythms, and scalable growth plans.
  
  
• Collaborate closely with Operations to drive user conversion and activation.
  
  
• Lead the team to achieve quarterly and annual acquisition goals.

2. Channel Development & Partnerships

• Identify, build, and integrate high-quality marketing and distribution channels.
  
  
• Create and deliver effective market placement and acquisition strategies.
  
  
• Expand and manage diverse promotional channels, including:
  
  
• News & crypto media
  
  
• Vertical media platforms
  
  
• Investment communities
  
  
• KOLs / influencers
  
  
• App traffic acquisition
  
  
• SEO & growth channels
  
  
• Quant teams, strategy providers, trading educators
  
  
• Platform examples: Telegram, Twitter, Facebook, YouTube, Google SEO, Google Play, Cointelegraph, CNN, Feixiaohao, Jinse, Bishijie, CoinMarketCap, Biyong, etc.
  
  

3. Performance & KPI Ownership

• Set acquisition, channel expansion, and conversion KPIs.
  
  
• Deliver actionable and data-driven marketing plans aligned to product and market cycles.
  
  
• Lead the execution of campaigns and initiatives to meet revenue and performance targets.
  
  

4. Team Leadership & Department Operations

• Build and lead a market expansion team with clear goals and responsibilities.
  
  
• Formulate market strategies aligned with operational and product timelines.
  
  
• Improve market processes and workflows to increase efficiency and scalability.
  
  
• Coordinate cross-department collaboration with Product, Operations, Compliance, and BD.
  
  
• Solve complex or high-impact issues beyond frontline capability.
  
  

5. Market Research & Strategic Insights

• Conduct ongoing market research on competitors, user behavior, and industry trends.
  
  
• Provide forward-looking market insights and data to guide decision-making.
  
  
• Monitor industry dynamics, regulatory shifts, and user demand changes.

Requirements

Education & Knowledge

• Bachelor’s degree or above.
  
  
• Solid understanding of financial markets, trading, and investment fundamentals.
  
  
• Crypto trading or derivatives experience is strongly preferred.
  
  

Experience

• 5+ years in crypto, blockchain, or financial investment industry
  
  
• 4+ years in trading, stocks, funds, or other investment fields.
  
  
• Proven leadership experience in crypto exchange marketing or derivatives growth.
  
  
• Demonstrated track record in achieving acquisition and revenue goals.

We are seeking a highly motivated and skilled Quantitative Trader to manage and optimize an algorithmic, delta-neutral strategies portfolio. You will be responsible for managing backtest schedules, allocating capital to existing strategies, and automating processes to ensure efficiency. This role is highly technical and requires a strong analytical mindset, focus, and the ability to take ownership of tasks in a fast-paced environment.

⚠️ IMPORTANT: We consider only candidates with proven live-trading experience and a documented strategy performance record that meets the following criteria::

• Asset Classes: Spot, Perpetual Swaps, and Dated Futures. (Note: Options-based strategies are not currently under consideration).

• Strategy Types:

  • HFT: Classic market-making, microstructure models, and ML-driven approaches.

  • MFT: Directional ML models or portfolio-based strategies (e.g., Statistical Arbitrage, Beta-Neutral models).

• Performance Metrics:

  • Sharpe Ratio: 3.0+

  • Daily Capital Turnover: 3.0+

  • Target APY (Post-Leverage):

    • High-Capacity MFT: 30%+

    • Low-Capacity HFT: 100%+

What We Offer

We are committed to creating an environment where talented traders can thrive. We provide the tools, support, and financial incentives necessary for success.

• Competitive PnL Share We offer an above-market payout structure designed to generously reward strong performance. We believe that you should earn a significant share of the profits you generate, and our terms are both flexible and negotiable for top-performing strategies.

• Path to Leadership For high-impact contributors, we offer a clear path to leadership roles within our growing quant division. This is a unique opportunity for those interested in not just trading, but also in building and leading a world-class team.

• Autonomy & Support We empower you to focus on what you do best—trading. You will have full ownership of your strategy and research without rigid top-down bureaucracy. Our role is to provide the capital, infrastructure, and collaborative support you need to succeed.

• Tier-1 Trading Infrastructure Gain a competitive edge with access to our top-tier technology stack, built for performance and scale. This includes low-latency infrastructure, direct market access (DMA) to major exchanges, and dedicated engineering resources.

• Collaborative & Flat Structure We foster a non-siloed environment with direct access to senior traders, engineers, and leadership. This open communication culture accelerates development, encourages knowledge sharing, and helps solve complex problems faster.

• Relocation to Dubai For successful candidates interested in joining our main office, we provide a comprehensive relocation package to facilitate a smooth transition to Dubai for you and your family.

Technical Requirements & Expectations:

• Experience with ML pipelines and MLOps tools
• Familiarity with tools like Kedro, Optuna, and orchestration systems
• Capable of working with clusters for training and deploying models
• Comfortable structuring workflow from data cleaning to production-ready pipeline
• Skilled in automation tools for efficient, reliable model deployment
• Able to work independently with minimal onboarding support

Ideal Candidate Profile:

• Brings a ready-to-trade proprietary strategy
• Demonstrated live trading experience with proven profitability metrics (PnL history, risk metrics, win rate)
• Strong technical understanding of market microstructure, execution optimization, and infrastructure demands (latency sensitivity, tick-to-trade, co-location benefits)
• Ability to clearly articulate infrastructure, connectivity, and operational needs
• Comfortable working independently, while being ready to collaborate with our engineering and devops teams for optimization
• Strong preference for candidates with crypto trading experience (Binance, Bybit, OKEX, etc.); traditional market experience is welcome if the strategy is adaptable

Additional details:

– This role reports directly to the Managing Partner/Head of Trading, offering tremendous growth opportunities.
– Rust knowledge is a strong plus.
– Expertise in applying AI tools to finance is an edge
– Preference for candidates in the Dubai timezone, with an even stronger preference for those based in Dubai.
– Good English is a plus, but day-to-day most team members speak Russian