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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.
Kpler is a leading provider of data intelligence for the global shipping and freight industry. Our innovative platform delivers real-time insights to empower businesses in making informed decisions. Join a forward-thinking team dedicated to transforming the maritime sector.
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708 results
Squarepoint Capital
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, en…
Legal & General
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.
smartkarma
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
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.
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.
mustard-systems
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.
commercetools
About commercetoolsAt commercetools, we believe that true innovation is built on a solid foundation, blending our cutting-edge products with a passionate team. We are proud pioneers of composable commerce, fostering a culture of experimentation that drives us forward.We empower businesses to navigate the evolving landscape of commerce with AI-driven insights, seamless digital-physical shopping experiences, and innovative customer engagement strategies. Our mission is to enable the world's most ambitious companies to experiment, scale, and thrive without constraints.Here, we champion the best ideas, valuing creativity over hierarchy. You will have the support, trust, and freedom to shape the future of commerce—and your own career.Your ImpactAs a Senior Deal Desk Analyst, you will collaborate with our Deal Desk Team to guide sales teams through deal negotiation strategies, drafting contracts, and establishing pricing frameworks throughout the sales journey. You will play a key role in implementing our CPQ tool and managing SFDC reporting while working cross-functionally across all levels of our organization.Your responsibilities will include:Acting as a trusted advisor to Sales, Revenue Operations, Legal, and Finance, overseeing the contract review process for diverse commercial arrangements, revenue recognition, and unique deal structures.Assisting in the development of global deal processes to ensure alignment with internal policies and meeting specific customer needs.Grasping end-to-end processes to facilitate all aspects of the role, from initial pricing strategies to order creation, contract signing, order processing, and SFDC data management.Managing commercial terms and coordinating approvals for non-standard agreements.Ensuring consistency in pricing, accuracy in deal design, and formulating effective strategies for success.Driving growth, enhancing sales velocity, and ensuring value through effective deal structuring practices and policies.Providing financial modeling and analysis to guide decision-making and evaluate business impact.Delivering ongoing training to Sales on best practices for pricing and contracting.Regularly preparing and analyzing KPIs and pricing trends.
Legal & General
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!
Point72
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.
AlphaSense, Inc.
About AlphaSense: AlphaSense is the leading platform that empowers organizations to eliminate uncertainty from their decision-making processes. By leveraging advanced AI technology, AlphaSense provides invaluable market intelligence and insights drawn from a vast array of trusted content. This includes equity research, corporate filings, event transcripts, expert calls, news articles, trade journals, and proprietary client research.The strategic acquisition of Tegus by AlphaSense in 2024 enhances our mission to facilitate smarter decision-making through AI-powered market insights. Together, we aim to accelerate growth and innovation, providing users with unparalleled access to comprehensive insights from extensive content libraries. With a robust client base of over 6,000 enterprises, including a significant portion of the S&P 500, AlphaSense has established itself as a trusted partner in the industry. Founded in 2011 and headquartered in New York City, we are a global team of over 2,000 professionals with offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Join us in our journey!Location: LondonReports to: Director, Sales Program ManagementAbout the Team:The Revenue Operations team at AlphaSense drives productivity and enhances efficiency across our sales teams, including account executives and sales development representatives. We are dedicated to creating and implementing operational reporting and analytics, refining processes, and enabling strategic initiatives that positively impact the revenue organization. Our team is composed of high-energy, self-motivated individuals who thrive in a fast-paced, challenging environment.About the Role: We are looking for a meticulous, strategic, and collaborative Deal Desk Analyst to support our sales teams in the execution of key deals. This role will involve close collaboration with Account Executives and Account Managers to build quotes, execute contracts, and review redlines. The ideal candidate will have prior experience in a deal desk capacity within a SaaS organization.
Graham Capital Management, L.P.
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.
Join AuditBoard as a Senior Deal Desk Analyst in a temporary capacity, where you will play a pivotal role in optimizing deal processes and driving sales efficiency. This position is ideal for an analytical professional who thrives in fast-paced environments and is committed to supporting our sales team with accurate pricing strategies and data analysis.
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 US Limited
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.
Join Ansatz Capital as a Research Engineer, where you will engage in the innovative research, testing, and deployment of cutting-edge trading strategies. You will also play a critical role in designing and constructing the research infrastructure that enables the evaluation of various trading concepts.We seek candidates who are deeply passionate about strategy development, with a strong aptitude for quantitative problem-solving and a keen interest in uncovering and capitalizing on statistical patterns within the financial markets. Proficiency in Python is essential, as you will be responsible for implementing your insights effectively.Ideal candidates will possess robust software implementation skills and have a track record of developing high-performance code alongside user-friendly tools. Your ability to deliver functional software solutions rapidly and accurately will significantly enhance our quantitative research capabilities and broaden our trading strategy coverage.Our compensation package includes a competitive base salary, a discretionary performance bonus, and opportunities for participation in long-term incentive schemes.
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
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
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.
Arena Investors, LP
Arena Investors, LP is a premier global investment management firm dedicated to delivering attractive risk-adjusted returns through a fundamentals-driven, asset-oriented investment and financing strategy across the entire credit spectrum. We focus on areas where traditional sources of capital are limited.Our investment team excels in the origination and acquisition of asset-oriented investments across a diverse range of commercial and consumer asset classes, including private direct corporate lending and commercial real estate bridge lending. We specialize in off-the-run, stressed, distressed, illiquid, and unique special situation transactions.Arena tailors investment structures to fit the specific needs of each opportunity. We are seeking dynamic and talented recent university graduates to join our newly launched two-year Analyst Program. This program offers a unique chance to enter a rapidly expanding alternative credit investment firm straight out of undergraduate studies, without the customary prerequisite of 1-2 years in investment banking.As an Analyst, you will play a vital role in deploying capital across our fundamental-based investment strategies, which span corporate private credit, real estate, structured products, natural resources, and liquid markets. Through hands-on experience and regular training sessions, you will gain insights into corporate finance, security analysis, credit analysis, financial modeling, business model structuring, and fixed income and equity securities.In addition to finance and security analysis, you will acquire essential legal knowledge relevant to buy-side investing and develop critical soft skills necessary for a successful career in the financial sector.Each analyst will operate as a generalist, collaborating with investment team members on industry and company due diligence, financial modeling, investment memorandum preparation, and various ad-hoc projects. Ideal candidates will exhibit a strong interest in finance and investing, thrive in a fast-paced, collaborative environment, and demonstrate exceptional organization, self-motivation, and resourcefulness.
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.
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