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Location: Limassol Workplace: onsite The Role:    We are looking for an energetic and self-motivated professional to join and enhance our Dealer team. After undergoing extensive training to comprehend the operations of the company and the department, you will be expected to effectively monitor and maintain our trading systems and tools, spot issues in real time and take corrective actions in a timely manner. High attention to detail and the ability to work efficiently under pressure are a must for this role. Due to the dynamic nature of our industry, it is also crucial to be able to continuously adapt and evolve.  This is an opportunity to thrive and grow in a professional and fun environment. The main responsibilities of the position include: Monitor and maintain the department's trading systems & tools Monitor and hedge company-level exposures according to established rules and guidelines Work closely with other departments to ensure trading systems are fully operational and handle related issues in a timely fashion Keep abreast of market and economic developments Main requirements: BSc/MSc in Mathematics, Statistics, Economics, or any other relevant field (first or upper second-class honours) CySEC certification is a plus Strong analytical skills Organised and methodical personality, high attention to detail Excellent oral and written communication skills in English Excellent working knowledge of Microsoft Office tools Ability to work on a well-structured, rotating shift schedule, including weekends Benefit from: Attractive remuneration package plus performance related reward Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Test your edge – Aptitude Assessment Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: London, England, United Kingdom; New York, New York, United States; Norwalk, Connecticut, United States; West Palm Beach, Florida, United States Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies. The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them. Description Graham is seeking a Quantitative Research Analyst to join our Quantitative Strategies team, and report into a Quantitative Research Manager. The individual will research and develop ways to improve GCM’s current trading systems while creating new systematic trading signals to complement and diversify the firm’s main strategies. The individual will maximize performance and competitiveness by utilizing advanced methods in quantitative analysis, risk management and portfolio optimization. Responsibilities Research and develop methods to make existing trading signals more efficient, profitable and robust Research and develop new signals that complement and diversify production strategies in terms of style, source of alpha and markets traded Research and develop portfolio construction and optimization methods to maximize performance while controlling risk, drawdowns and trading cost Enhance the scalability and flexibility of portfolios to accommodate bespoke investment needs of clients Follow robust research and development procedures to reduce differences between simulated and actual performance Work collaboratively in a research team environment, using common development tools to facilitate robust implementation of research as well as production versions of trading systems Interact with other departments – technology, operations, trading, marketing, and accounting - to ensure current and proposed ideas are implemented, monitored and executed efficiently and accurately Regularly present findings and ideas to management and investment committee Complete other projects as requested by senior management Requirements PhD or MS in a quantitative field 2+ years related experience in systematic trading on the buy side, primarily targeting futures and FX, but also open to sovereign credit, options, and OTC markets. Knowledge in short-term/intraday systematic trading strategies is desired Advanced programming experience in languages suited for quantitative research and strategy implementation Ability to synthesize complex topics into easily digestible written commentary Strong communication skills – both written and verbal This role requires commuting into one of our offices Mondays through Fridays. We have offices in Rowayton, CT, New York, NY, West Palm Beach, FL, and London, UK. Please note that our central Quantitative Research team sits out of Rowayton, CT. Base Salary Range The anticipated base salary range for this position is $200,000 to $275,000. The anticipated range is based on information as of the time this post was generated and does not include any discretionary bonus or benefits (see eligibility below). The applicable annual salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications.  This wage range may be modified in the future. In addition, the employee who fills this role will be eligible for a discretionary annual bonus, as well as a wide array of benefit programs, such as medical and life insurance, 401(K) plans, and access to other healthcare programs. Notes: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation that a particular employee may be eligible for remains in the Company's sole discretion unless and until paid and may be modified at Graham’s sole discretion, consistent with the law. Other Graham is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation. Graham offers health benefits to eligible full-time U.S. employees, including medical, dental, vision, life and disability insurance, as well as other voluntary benefits such as spending accounts (HSA and FSA), and a profit contribution retirement plan.  All employees also receive paid vacation and sick leave.  Benefits eligibility is dependent upon a variety of factors, including employee classification and applicable waiting periods.  Benefits are subject to change and may differ for non-U.S. roles.

Location: Remote - Worldwide About us OpenZeppelin is the security standard onchain finance is built on. Founded in 2015, our mission is to accelerate the world's transition to an open financial system, built on open standards and secured by rigorous research. Our open-source Contract Libraries have facilitated over $35 trillion in onchain value and are used by 10 of the top 10 tokenized money market funds and 9 of the top 10 stablecoins by market cap. We combine AI-native security tooling with deep research and a decade of audit expertise to support leading institutions and crypto-native teams shaping the next generation of digital assets like DTCC, Fidelity, Coinbase, Uniswap, Aave, the Ethereum Foundation, and many more across the full secure development lifecycle. Please note: Always refer to OpenZeppelin's official job page for the most accurate information about our open roles, as we have seen multiple third party job sites posting inaccurate information. The Security Services Team OpenZeppelin's Security Services team is responsible for the security of the world's leading web3 protocols and top financial institutions building onchain. Our researchers partner with client teams across the full lifecycle of a protocol: working on architecture and design before any code is written, co-creating novel mechanisms and primitives with engineering teams, conducting deep audits of pre-launch codebases, and providing continuous coverage as production systems evolve. Our clients range from emerging projects shipping their first contracts to global financial institutions running production onchain systems at scale. What you'll be doing Review smart contracts for top decentralized applications, blockchain infrastructure and financial institutions before they launch. Find vulnerabilities, prioritize them, and present findings to the client. Drive audits independently from start to finish, with AI as your primary collaborator. When useful, partner with another researcher to attack the code together and pressure-test findings. Partner with client teams during the design phase of new protocols, analyzing architecture, trust assumptions, and operational constraints before any code is written (Design Reviews, Applied Research engagements). Use AI efficiently throughout the audit process, and build skills, agents, and workflows that compound across the team. Conduct open-ended research into cutting-edge blockchain technologies, vulnerability classes, and emerging attack vectors, and contribute findings back to OpenZeppelin's internal knowledge base and to the broader ecosystem. You have Hands-on and practical experience in one or more of the following: software development, cybersecurity, applied mathematics, distributed systems, cryptography, cryptoeconomics or game theory, or DeFi mechanisms. Experience designing and developing smart contracts, not only auditing them. Strong working knowledge of Solidity and the broader Ethereum / EVM ecosystem (common libraries, frameworks, smart contract patterns). Modern AI tooling is central to how you work, not a novelty. You use it daily to expand audit coverage, reason about complex systems, and produce high-quality outputs faster. You evaluate AI-generated code with a critical eye. Comfort building and extending your own tooling (skills, agents, prompts, scripts, or full workflows) that the rest of the team can adopt and build on. An advanced English level and strong communication skills (oral and written). Nice to have Experience with non-EVM ecosystems and languages, such as Canton, Move (Sui, Aptos), Golang (Cosmos SDK), Cairo (Starknet), Rust-based blockchains (Solana, Stellar), or ZK circuits and cryptography-heavy systems. Experience with risk assessment work in the crypto industry (smart contract risk assessment, threat modeling). Working hand-in-hand with protocol teams on co-creative engagements, helping design, specify, and implement smart contracts alongside the research. Web2 security expertise (penetration testing, web application security, infrastructure security, or appsec). Experience with formal verification, invariant testing, or advanced fuzzing tools (Echidna, Foundry, Halmos, Certora). A track record in audit contests (Code4rena, Sherlock, Cantina) or bug bounty platforms (Immunefi, HackerOne). Public security research output, such as published findings, blog posts, conference talks, or contributions to open-source security tooling. Logistics Our interview process takes place on Google Meet and tends to consist of the following stages: Recruiter call (30 minutes) Manager interview (60 minutes) Technical interview (60 minutes) Paid work trial (paid code review assessment) Reference checks Please let us know if you require any accommodations for the interview process, and we’ll do our best to provide assistance. Benefits Meet your teammates at company gatherings around the world 😎 Enjoy the flexibility of fully remote work 🌎 Take the time you need with flexible time off 🏝 Grow your family with 8 weeks of paid leave for primary caregivers, 4 weeks for secondary caregivers, and a one-time $3,600 baby bonus 💙 Build your ideal home office with up to $500 in equipment support 🪑 Stay covered with medical insurance 🏥 Keep growing with learning and development opportunities 🧠 Get a monthly stipend for your preferred co-working space 💻 At OpenZeppelin , we are an equal opportunity employer and we value different perspectives. We are committed to building a diverse workforce. This includes but is not limited to gender, race, sexual orientation, religion, national origin and other characteristics that make each one of us unique. In this uniqueness, we find the most value. Come join us! Use of AI as part of the recruiting process As part of OpenZeppelin’s recruitment process, we may use automated tools, including artificial intelligence, to assist in reviewing applications and assessing candidate qualifications. These tools are used to support our People team by identifying relevant skills and experience, and are not used to make decisions solely by automated means. All hiring decisions involve human review. Any personal data provided as part of your application will be processed in accordance with OpenZeppelin’s Data Privacy Notice . If you have questions about this recruitment process or would like to request human review of your application, please contact us at talent@openzeppelin.com.