Quantitative Analyst Intern - Crypto

Quantitative Analyst Intern - CryptoJoin our dynamic Strategic Market Making team at Keyrock, where we leverage innovative strategies to navigate the ever-evolving landscape of digital asset markets.As a Quantitative Analyst Intern, you will engage in cutting-edge analysis and optimization of our market strategies across various centralized and decentralized exchanges (CEXs and DEXs). Your role will be pivotal in identifying and capitalizing on unique market opportunities arising from new token launches, liquidity programs, and incentive structures.Be part of a forward-thinking team that is unencumbered by traditional obligations, allowing for rapid strategy iteration and effective capital allocation. You will also play a key role in our expansion into the Perpetual DEX ecosystem, merging traditional finance insights with decentralized finance innovations.

Role overview Legal & General is hiring a Senior Quantitative Analyst based in London. The position centers on building advanced quantitative models, analyzing complex data sets, and interpreting results to guide decisions for senior management. This work supports a range of business initiatives and helps shape company strategy. Key responsibilities Develop and maintain sophisticated quantitative models for financial analysis. Conduct detailed data analysis to support business strategy. Interpret quantitative results and present actionable insights to senior leaders. Collaborate with cross-functional teams to verify the accuracy of financial forecasts and risk assessments. Apply quantitative expertise to refine investment strategies and enhance investment performance. Collaboration This role involves close coordination with colleagues from multiple departments. Teamwork is essential to ensure reliable forecasting and effective risk management across the organization.

Role Overview smartkarma seeks an Independent Quantitative Analyst in London. This role suits someone with a solid quantitative background who enjoys working autonomously. The main focus is on delivering clear, data-driven analyses for the investment community. What You Will Do Develop quantitative models and frameworks to inform investment decisions Produce independent analyses that support investors Apply quantitative expertise to address complex financial questions Who We’re Looking For Strong quantitative skills Experience building models for investment or financial analysis Comfort working independently and setting your own direction

We invite you to apply to the position that aligns best with your skills and experience. Should our team determine you are a better fit for another role, we will reach out regarding that opportunity. Position Overview: We are seeking driven graduates or early career professionals passionate about finance and equipped with a background in computer science, engineering, mathematics, or other STEM disciplines to join our three-year Desk Quantitative Analyst program. Throughout this program, you will collaborate closely with seasoned Quantitative Researchers and Traders to adapt to the dynamic requirements of our trading desks. Enhance and maintain the codebase and configurations of strategies within our automated trading framework. Manage extensive datasets utilized for both research and operational purposes. Conduct live and historical monitoring of trading activities, including post-trade analyses and production reconciliations. Potential to transition into a Junior role in Quantitative Development or Quantitative Research, based on your individual performance. A Day in the Life of a Desk Quant Analyst: Before market opening, ensure all necessary data and processes are prepared for the trading day. During market hours, intermittently monitor the behavior and performance of strategies. Engage in various long-term projects aimed at expanding our systematic trading capabilities and ensuring their resilience.

Join Kpler as a Quantitative Freight Analyst specializing in Dry Bulk. In this role, you will analyze market trends, build quantitative models, and provide insights to optimize freight operations. You will collaborate with a dynamic team and leverage data to support decision-making processes in the shipping industry.

Join our innovative team at mustard-systems, where we develop tailored statistical models and probabilistic frameworks that accurately predict horse racing outcomes and optimize trading strategies. Your insights will directly influence our success, determining what to back, when, and how much.We are seeking a dedicated researcher to become a vital member of our quantitative team. In this role, you will enjoy significant ownership over your projects, making impactful decisions about what you build, how you approach it, and evaluating its effectiveness.If you have previously tackled challenging technical problems and are eager for more opportunities to apply your scientific problem-solving skills in a high-stakes environment, we want to hear from you.Your responsibilities will include building and refining our quantitative models. While our primary focus is on custom state space models, probabilistic frameworks, and neural architectures, we are open to exploring other methods if they yield better results. Understanding the data is just as crucial as modeling; you'll need to navigate its complexities and uncover untapped opportunities.You will be expected to articulate the rationale behind your modeling choices clearly, and we will encourage you to challenge our assumptions as well.As part of a small, ambitious team, you will grow your understanding of our product and domain, influencing research directions and the business decisions that stem from them. We are looking for someone who identifies problems, crafts solutions, and pursues tangible outcomes, rather than merely completing predefined tasks.

Join Point72 as a Quantitative Research Intern, where you'll leverage advanced data modeling and statistical learning techniques to drive market predictions and enhance systematic trading strategies. This is an exciting chance for talented individuals to immerse themselves in the dynamic world of finance and data science.

Fasanara Digital is a quantitative investment team focused on scientific and high-frequency trading in digital assets. Since 2018, the group has grown to 30 professionals and manages over $500 million USD. The portfolio relies on fully delta-neutral trading strategies and operates across more than 15 crypto liquidity venues. The team’s diverse backgrounds and commitment to continuous platform development support round-the-clock trading and help maintain a strong position in the cryptocurrency sector. Our Culture Fasanara values meritocracy, rewarding impact and performance. The environment encourages collaboration, entrepreneurship, and trust. Ambitious goals, diligent work, and a focus on teamwork define daily operations. The company is committed to attracting and developing exceptional talent, believing that team quality drives success. Role Overview The Quantitative Trader will refine and improve delta-neutral strategies on centralized crypto exchanges. This role uses quantitative skills and knowledge of exchange mechanics to expand cross-exchange arbitrage and basis trading strategies. Over time, the trader will develop deep expertise in Fasanara’s trading architecture and contribute directly to business growth. What You Will Do Enhance current trading strategies and identify new trading opportunities. Work closely with researchers and technologists to systematically improve trading profitability. Optimize trading volumes with respect to exchange fee structures. Maintain and improve codebases for production strategies and develop performance metrics. Monitor daily trading activities and troubleshoot operational issues as they arise. Requirements Full-time experience in the trading industry, with knowledge of central limit order books. Exceptional graduates with relevant internships at top firms may also be considered. Strong Python skills and familiarity with SQL. Excellent problem-solving and quantitative analysis abilities. Clear communication skills. Flexibility to take on a variety of tasks as needed. Nice to Have Background in the cryptocurrency sector (especially delta-1), ideally at a leading firm. Benefits Bupa health and dental coverage, Cycle to Work scheme, enhanced pension plan, and at least 25 days of annual leave. Enhanced parental leave, special leave options, and charitable contribution programs. Competitive bonus structure. Regular team-building events and activities.

Galaxy Digital Services is seeking a Vice President of Quantitative Development to join the Crypto trading desk in London. This position partners closely with traders, quantitative analysts, and developers to design, implement, and refine market-making and quantitative trading strategies. Role overview The Vice President of Quantitative Development will focus on building and enhancing trading systems that support the firm's activities in digital assets. Collaboration is central: expect to work alongside experts in trading, quantitative research, and software engineering. The role requires a strong foundation in software development and quantitative analysis, with particular emphasis on financial markets such as FX and Crypto. What you will do Design and implement quantitative trading strategies for the crypto trading desk Enhance and maintain market-making systems Work closely with traders and quantitative analysts to identify and execute new opportunities Contribute to the ongoing improvement of the trading platform Requirements Proven experience in software development and quantitative analysis Strong understanding of financial markets, with a focus on FX and Crypto trading Ability to collaborate with cross-functional teams Our values Pursue Excellence Selectivity for Effectiveness High Alignment, Loose Coupling Transparent Disagreement Encourage Independent Decision-Making Create Dream Teams Galaxy Digital brings together a diverse team of thinkers and achievers, united by a mission-first mentality and a commitment to transparency and accountability. The company supports institutions, startups, and developers at the intersection of finance and technology, shaping the future of Web3 and AI.

At Flowdesk, our mission is to establish a leading global financial institution for digital assets, meticulously crafted to ensure market integrity and operational efficiency.In a fast-paced and ever-changing market environment, we adopt a structured, first-principles approach across all our operations. This methodology is reflected in our core offerings, which include institutional liquidity provision, advanced trading solutions, OTC execution, and comprehensive treasury management services. Our focus is on navigating the complexities of the market to develop resilient and scalable systems across various business lines.We are in search of passionate individuals who resonate with this systematic philosophy. Becoming part of Flowdesk means you will contribute significantly to the creation and enhancement of a more transparent and efficient infrastructure for financial markets.Are you eager to seize a thrilling opportunity within a newly established quant trading team at an innovative crypto trading firm? As a Quantitative Developer, you will play a crucial role in developing and scaling our cutting-edge HFT platform built in Rust. Your responsibilities will include but are not limited to:Algorithm Development: Design and enhance trading algorithms for low-latency, high-frequency trading.Front-Office System Development: Build and optimize systems for algorithmic trading, covering data analysis, risk management, live trading, and post-trade processes.Integration with DeFi Venues: Implement real-time data feeds from decentralized finance protocols.Model Backtesting: Evaluate algorithms with historical data to verify their effectiveness and identify areas for improvement.Founded in 2020, Flowdesk is a pioneering technology and crypto financial services firm operating globally, catering to a diverse clientele. Our ambition is to become a premier technology provider within this industry while adhering to the highest standards of compliance and efficiency. The newly formed team is led by a renowned HFT expert with a track record of building some of the most successful trading desks in the sector.Work Location: Remote or hybrid for candidates based in London, Paris, or Singapore.

Join our dynamic team at Legal & General as a Quantitative Analyst in London. In this pivotal role, you will leverage data-driven insights to enhance our investment strategies and drive informed decision-making. You will collaborate with cross-functional teams, applying your analytical skills to interpret complex financial data, optimizing our investment portfolio. If you're passionate about quantitative analysis and looking to make a significant impact, this is the opportunity for you!

Join our dynamic Central team in London as a Quantitative Researcher, where you will spearhead the development of advanced statistical and predictive models. Your expertise will guide all phases of the research process, from methodology selection to data analysis, prototyping, backtesting, and performance evaluation. You will also assess new datasets for alpha potential and implement models using C++, Python, or Q, while monitoring the daily trading operations and continuously enhancing our trading systems.

Graham Capital Management, L.P. ("Graham") is a premier alternative investment firm established in 1994 by Kenneth G. Tropin. With a focus on discretionary and quantitative macro strategies, Graham is committed to generating robust, uncorrelated returns across diverse market conditions. As one of the longest-standing managers in the global macro and trend-following space, Graham continuously innovates, adapting its strategies through a sophisticated investment, technology, and operational framework. By leveraging the interplay between its discretionary and quantitative trading operations, Graham provides a comprehensive suite of complementary alpha strategies, all grounded in prudent portfolio construction, proactive risk management, and intentional diversification.The cornerstone of Graham’s sustainability and success lies in the expertise and contributions of its team. The firm is dedicated to nurturing talent, promoting a diversity of perspectives, and valuing the input of all team members. Consequently, every employee plays a crucial role in empowering their colleagues.DescriptionGraham Capital Management, L.P. is excited to welcome a Quantitative Research Analyst to our Quantitative Strategies team, reporting directly to a Quantitative Research Manager. The successful candidate will be instrumental in researching and enhancing our current trading systems while developing new systematic trading signals designed to complement and diversify our core strategies. By employing advanced quantitative analysis, risk management, and portfolio optimization techniques, this role aims to maximize performance and maintain a competitive edge.

About Jump and Jump CryptoJump Trading Group is dedicated to pioneering research in the financial sector. We foster exceptional talents in Mathematics, Physics, and Computer Science, encouraging them to explore and push beyond scientific boundaries while applying groundbreaking research to global financial markets. Our culture promotes constant innovation through creativity, intellectual honesty, and a competitive spirit. We believe in collective success and unlocking individual potential through collaboration and mutual respect. At Jump, our research efforts lead to more than just superior risk-adjusted returns; we develop and implement technologies that transform our world, fund innovative startups, and collaborate with leading global research organizations and universities to tackle complex challenges.Jump Crypto, the dedicated crypto arm of Jump Trading Group, is focused on establishing vital infrastructure to support the growth of the cryptocurrency ecosystem. We are builders, partners, and traders with a long-term vision for the future of crypto. Since our humble beginnings as an intern project in late 2015, we have evolved into a high-performing team contributing significantly to major crypto communities.As a Campus Intern Researcher at Jump Crypto, you will collaborate with senior leaders and researchers to influence our strategic initiatives. This dynamic role allows you to explore macro-level trends, address intricate issues, compile insightful research reports, or guide our business development team on potential partnerships. Your expertise in the crypto industry, along with knowledge in computer science, distributed systems, consensus algorithms, networking, and game theory, will be instrumental in identifying and proposing new business initiatives. The ideal candidate will leverage their strengths to contribute meaningfully where they can add the most value.

The Opportunity Quantitative Analyst - Transforming the Future of Sports Betting Join our innovative team and redefine the landscape of sports betting! We are on the lookout for a passionate and creative Quantitative Analyst to craft and enhance state-of-the-art statistical models. In this pivotal role, you will significantly contribute to improving our market offerings and driving our growth in the fast-paced sports betting arena. Utilize your data science, machine learning, and AI expertise to develop models that forecast outcomes, manage risks, and unlock exciting opportunities in micro-markets and derivatives. Your Role Involves: Core Sports Betting Models: Construct and refine predictive models for match outcomes, leveraging advanced statistical techniques, machine learning algorithms, and AI methodologies. Player Statistics Models: Develop and sustain complex models that assess player performance and predict individual impacts, thereby creating thrilling new betting opportunities. Risk Management Models: Formulate and execute robust risk assessment models to optimize exposure and guarantee the enduring viability of our operations. Market Expansion: Assist in innovating market offerings, including derivatives and micro-markets, by generating the essential underlying models. Technology Modernization: Collaborate on modernizing our modeling technologies, exploring and adopting new tools and platforms to boost efficiency and scalability. Data-Driven Innovation: Engage in the development of new data-driven techniques, pushing the boundaries of what’s achievable in sports betting analytics. Data Collaboration: Partner with the data engineering team to enhance data storage and retrieval processes, ensuring smooth access to crucial information for model development. Data Acquisition: Identify and gather relevant data sources to support model development and enhancement. Knowledge Sharing: Clearly document model methodologies and effectively communicate intricate technical concepts to both technical and non-technical stakeholders across the organization. Performance Monitoring: Implement performance tracking systems to ensure models achieve desired outcomes and are continuously improved.

Maven Securities Holding Ltd is a leading proprietary trading firm, leveraging internal capital across a variety of strategies including discretionary, systematic, and market-making. Our diverse team of traders, engineers, and technologists is dedicated to optimizing our role as a top-tier liquidity provider for globally traded derivatives. We utilize innovative execution and pricing technologies to enhance the functionality of financial markets. As Maven grows, we maintain the vibrant energy and innovative culture of a startup, while minimizing associated risks. Key Responsibilities:Build Advanced Analytics Framework: Create scalable Python libraries and tools to standardize performance metrics across teams, establishing automated workflows that transform raw trading data into valuable insights for Portfolio Managers and the Investment Committee.Conduct In-Depth Quantitative Research: Execute comprehensive statistical analyses on trade and portfolio-level data to dissect PnL drivers. Identify alpha decay, inefficiencies, and execution challenges to provide actionable insights that enhance performance.Optimize Existing Strategies: Analyze trade and strategy performance to pinpoint areas for optimization and efficiency improvements. Deliver data-backed recommendations and ensure follow-through.Identify Trading Risks & Opportunities: Monitor portfolio exposures, performance trends, and market signals to detect emerging risks and uncover underutilized or mispriced opportunities across various strategies.Assist in Strategy Development: Support the onboarding process for Portfolio Managers and contribute to business development initiatives involving new product groups and strategies.

Role overview dvtrading is hiring a Quantitative Trader specializing in equities for its London office. This position focuses on applying quantitative techniques and data analysis to identify trading opportunities within equity markets. Both strategy development and hands-on execution play a central part in the role, directly impacting the firm's trading performance. What you will do Analyze extensive market data to find patterns and opportunities in equities trading Design, test, and implement quantitative trading strategies Collaborate with a team of experienced traders and researchers Monitor how strategies perform and adjust them to improve results Who thrives here People who enjoy solving complex problems in creative ways Those with a strong interest in financial markets Individuals comfortable in a collaborative and energetic team setting Location This role is based in London.

Fasanara Digital, the cryptocurrency division of Fasanara Capital, has been at the forefront of digital asset investment for the past seven years. As a specialized alternative asset manager with over 14 years of experience, we adopt a rigorous quantitative approach to investing in crypto assets, aiming for exceptional risk-adjusted returns. Our diverse and sophisticated investment strategies leverage market inefficiencies, encompassing various techniques from market making to cross-exchange arbitrage.Our CultureAt Fasanara, we champion a meritocratic environment where individuals are recognized for their contributions and excellence. Our collaborative and entrepreneurial atmosphere is free from the constraints of bureaucracy, fostering trust and teamwork. We set high ambitions, work diligently, and uphold the highest standards of excellence, building our firm around exceptional talent.Position OverviewWe are looking for a Mid-Frequency Quantitative Researcher to spearhead the design, development, and deployment of systematic trading strategies within the digital asset market. This role will also support portfolio management for our multi-strategy book. You will be responsible for the entire research lifecycle, from idea generation and signal construction to implementation, monitoring, and continuous optimization, collaborating closely with execution and infrastructure teams.ResponsibilitiesConduct thorough research to develop and validate high-quality quantitative trading signals for the cryptocurrency markets.Lead the complete strategy development lifecycle, from hypothesis generation through to live deployment.Monitor live trading performance, assess risk exposures, and ensure strategy robustness.Continuously improve and refine existing models based on performance metrics and market dynamics.Create dashboards and analytics to facilitate monitoring and analysis of the Mid-Frequency strategy portfolio.Maintain clear documentation of research methodologies, findings, and enhancements.Effectively communicate insights, risks, and updates on strategies to internal stakeholders.

Teza Technologies is actively seeking a highly skilled Senior Quantitative Researcher to become an integral part of our Options stream. This position calls for exceptional analytical capabilities, a steadfast dedication to excellence, and a fervor for identifying hidden patterns within data sets. If you are motivated by intellectual challenges and excel in tackling intricate problems, this role provides an extraordinary opportunity to advance your career.Our team cherishes determination, precision, and the capacity for both critical and creative thinking. Although the work is rigorous, the rewards are substantial, impacting your contributions and facilitating your growth in our collaborative, high-performance environment. We value autonomy and offer the freedom to develop cutting-edge algorithms in finance while emphasizing the vital aspect of effective communication.LocationLondon, UK (Hybrid mode with a requirement of 3 days in-office)Key ResponsibilitiesSpearhead the research and development of systematic options trading strategies across both US and global markets.Utilize advanced options pricing models, volatility surface modeling, and risk-neutral frameworks to generate alpha.Perform rigorous backtesting, stress testing, and statistical validation of strategies.Collaborate with technologists to translate research into production-ready trading systems with robust execution.Refine portfolio construction and risk management frameworks for options books.Contribute to the advancement of Teza’s options research platform, infusing innovation into live strategies.Mentor junior researchers and drive the continuous enhancement of research practices, infrastructure, and tools.Basic RequirementsDegree in Physics, Mathematics, Computer Science, Engineering, or another technical discipline.Strong mathematical skills in statistics, linear algebra, optimization, etc.A minimum of 4 years of quantitative research or trading experience in systematic trading.Extensive expertise in options, including volatility surface and derivatives pricing methods.Proficient programming skills in Python, with experience managing large, complex datasets.Solid understanding of risk management principles in derivatives trading.Ability to collaborate effectively across research and technology teams.

Role Overview Fasanara Capital is seeking a Quantitative Researcher in London. This position focuses on applying advanced analytical methods to support investment strategies and strengthen data-driven decisions. The role involves close collaboration with the investment team to analyze market trends and build predictive models. What You Will Do Apply quantitative techniques to research financial markets and identify patterns Develop and refine predictive models to inform investment decisions Work alongside investment professionals to translate research into actionable strategies Contribute to the team’s understanding of market dynamics with rigorous analysis Location This role is based in London, England, United Kingdom.