Quantitative Developer

Join Pinely, an innovative high-frequency algorithmic trading firm in Amsterdam, where we excel at developing robust strategies across diverse financial instruments and exchanges. Our commitment to excellence is reflected in our support for the Olympiad movement, and our team is comprised of award-winning mathematicians, researchers, and engineers.We are currently seeking a Junior Quantitative Researcher to become part of our dynamic Trading teams. This role will involve analyzing global markets and formulating profitable trading strategies. At Pinely, your contributions will be swiftly integrated into production, allowing you to see the impact of your ideas in a fast-paced high-frequency trading environment. Our research teams benefit from world-class infrastructure that guarantees seamless deployment and reliable experimentation at scale.We pride ourselves on a flat organizational structure that promotes autonomy, creativity, and ownership. Our informal, idea-driven culture celebrates innovation, making every contribution significant. If you believe this role aligns with your aspirations, we invite you to join us!

Join our dynamic team as a Senior Quantitative Researcher in our vibrant Amsterdam office. In this pivotal role, you will spearhead innovative research initiatives and take charge of mentoring and managing talented individuals.Key Responsibilities Leverage machine learning techniques to design and implement sophisticated statistical arbitrage strategies. Identify and evaluate new trading opportunities through in-depth analysis of market data. Craft features and models to forecast the behavior of numerous securities within a rapid timeframe of 10 seconds to 10 minutes. Collaborate with machine learning pipelines to enhance the strategy development process. Continuously optimize and refine existing models for better performance. Facilitate communication among internal teams to ensure cohesive strategy implementation. Provide mentorship and leadership to team members, fostering a culture of learning and growth. Requirements A minimum of 5 years of relevant experience in high-frequency trading (HFT) environments. Deep understanding and hands-on experience with machine learning models tailored for HFT strategies. Proficiency in managing ML pipelines across multiple exchanges, both independently and collaboratively. Demonstrated experience in developing complex statistical arbitrage strategies that capitalize on price discrepancies between multiple instruments. A strong desire to deepen your knowledge of high-frequency trading and apply it across numerous exchanges. Ability to manage the entire data pipeline from sampling and feature creation to production strategy deployment. Proficient in at least one programming language, with Python being the preferred choice. A confident, resilient, highly motivated, and proactive approach to work. A collaborative mindset, open to learning from colleagues with diverse backgrounds. Preferred QualificationsExperience in mentoring and managing interns or research teams.What We Offer Competitive base salary complemented by comprehensive social benefits. Generous bonus system and profit-sharing opportunities. We are open to discussing salary and employment conditions. Access to state-of-the-art hardware and software, coupled with a high level of technical expertise, enabling the implementation of innovative ideas and achieving exceptional results. Opportunity to engage in trading across a multitude of international exchanges. A flexible work environment that prioritizes efficiency over bureaucracy, with an adaptable work schedule. Tuition reimbursement and sponsorship for conferences and training.

Join our innovative team at Pinely as a Quantitative Research Intern in Amsterdam! This internship provides a unique opportunity to delve into high-frequency trading (HFT) strategies, where you will collaborate with seasoned researchers and engineers. You will gain invaluable practical experience in applying advanced methodologies to real financial datasets. During this internship, you will engage in groundbreaking projects aimed at automating and enhancing trading strategies within a dynamic market environment. The duration of the internship ranges from 3 to 6 months, allowing for flexibility based on your availability. Successful candidates may receive a full-time job offer upon completion of the internship.Key ResponsibilitiesContribute to the research and development of innovative high-frequency trading strategies.Analyze existing HFT strategies and market microstructures to uncover new trading opportunities.Collaborate with developers and fellow researchers to implement and fine-tune trading strategies.Assist in refining current trading strategies and supporting quantitative strategy design efforts.QualificationsA strong passion for research and quantitative analysis.Solid understanding of probability theory and mathematical statistics.Proficient in Python and C++ programming languages.Familiarity with machine learning techniques is a plus.Exceptional performance in mathematical competitions or competitive programming contests.What We OfferWork alongside brilliant minds, including Kaggle Grandmasters and ACM ICPC World Finalists.Access to robust infrastructure for supporting your strategies and daily testing of ideas on a real-time production leaderboard.A modern, well-equipped workspace designed for productivity and comfort.A supportive work environment that prioritizes a healthy work-life balance.Participation in corporate and team events.

Join Pinely, an innovative algorithmic trading firm located in Amsterdam, where high-frequency trading meets cutting-edge research.Our team excels in crafting resilient and adaptive trading strategies across diverse financial instruments and exchanges. We actively support the Olympiad movement, with many of our team members being distinguished mathematicians, researchers, and engineers.As a Junior Deep Learning Researcher at Pinely, you will thrive in a dynamic HFT environment where your research will have an immediate impact. Our dedicated infrastructure team ensures seamless deployment and reliable experimentation at scale.We foster a flat organizational structure that promotes autonomy, creativity, and a sense of ownership. Our informal, idea-driven culture celebrates innovation, valuing every contribution.

Join our dynamic team at Pinely as a Mid-Level Quantitative Researcher, based in our Amsterdam and Cyprus offices. In this pivotal role, you will collaborate with our trading teams to conduct in-depth market analysis and develop profitable trading strategies that optimize our trading performance.ResponsibilitiesEnhance and innovate trading algorithms through advanced statistical models and machine learning methodologies;Evaluate high-frequency trading strategies and market microstructure to pinpoint lucrative trading opportunities;Work closely with developers and fellow researchers to effectively implement and fine-tune trading strategies;Support the refinement of existing trading strategies while aiding senior researchers in the design of quantitative strategies.RequirementsMaster's or Bachelor's degree in Mathematics, Physics, Computer Science, or a related quantitative discipline;Proven experience in solving complex analytical problems;Exceptional achievements in mathematical competitions or coding challenges are a significant plus, though not mandatory;Demonstrable experience in deploying machine learning algorithms.

Join pinely as we expand our innovative team! We are seeking a dedicated Site Reliability Engineer who thrives in a dynamic environment.Key Responsibilities:Deploy, configure, and manage Linux-based servers efficiently.Diagnose and resolve hardware and network availability issues while monitoring for failures.Oversee numerous nodes across various remote sites and cloud infrastructures.Contribute to infrastructure automation initiatives using Python and/or Go.Engage with cloud platforms including AWS, Google Cloud, and Alibaba Cloud.Enhance monitoring systems for production trading environments utilizing Grafana.Required Qualifications:A minimum of 3 years of experience in managing and troubleshooting high-load systems.Strong grasp of the Linux TCP/IP stack.Familiarity with essential network components such as DHCP, DNS, and BGP.Proficiency in at least one configuration management tool (e.g., Salt, Ansible).Extensive knowledge of infrastructure monitoring tools, including Prometheus and Grafana.Fluent in English (B2/Upper-Intermediate or above).Basic skills in Python/Bash/Go.Willingness to travel for work-related tasks.Preferred Qualifications:Familiarity with leading server hardware brands.Experience optimizing hardware and OS configurations for peak performance.What We Offer:Competitive salary and comprehensive social benefits.Attractive bonus structure with flexibility in salary negotiations.Opportunity to work with unique networks such as radio relay, shortwave, FPGA cards, and atomic clocks, including server optimization on overclocked systems.Access to cutting-edge technologies and a supportive environment for implementing innovative solutions.Flexible working conditions, minimizing bureaucracy and promoting autonomy.Tuition reimbursement and sponsorship for conferences and training.

Join our dynamic Trading Systems team at Pinely as a C++ Developer! If you are passionate about optimizing trading systems and leveraging cutting-edge technology, this is the perfect opportunity for you. Our team is dedicated to enhancing the efficiency of our trading operations, utilizing everything from low-level assembly optimizations to Linux kernel modifications and FPGA integration. Your contributions will directly influence our trading performance, efficiency, and profitability.Collaborate with a group of exceptionally talented engineers, including ICPC gold medalists and CTF competition winners, who are eager to share their knowledge and expertise.

In 2023, IMC expanded its horizons by acquiring Altas Technologies, a progressive algorithmic trading firm aiming to develop the most advanced trading technology of the future. This strategic merger enhances IMC's market position by leveraging Altas’ sophisticated trading strategies alongside IMC’s superior execution and scalability capabilities, ensuring stability and fostering long-term growth for the organization. The Altas team specializes in creating robust, fully automated systems designed to predict and execute trades in cryptocurrency markets. As a group driven by technology and scientific inquiry, we develop our own state-of-the-art systems, from high-performance trading platforms to distributed machine learning and research infrastructures. You will join us during an exhilarating phase of team expansion, contributing significantly to the scalability of our cryptocurrency strategies. Your role will involve collaboration with a driven team of researchers and quantitative developers to conceptualize and implement high-frequency trading (HFT) monetization frameworks from inception to execution.

Jump Trading Group is dedicated to pioneering research at the highest level. We empower brilliant minds in Mathematics, Physics, and Computer Science to explore and redefine scientific boundaries, applying cutting-edge research to global financial markets. Our unique culture fosters continuous innovation, demanding creativity, intellectual integrity, and a fierce competitive spirit. We believe in collaborative success, unlocking individual talents through teamwork and mutual respect. At Jump, the outcomes of our research transcend mere financial gains; we design, develop, and implement technologies that transform industries, support startups across various sectors, and collaborate with leading research institutions and universities to address complex challenges.The Quantitative Research teams at Jump Trading delve into global markets, striving to unravel the intricacies of diverse traded products and exchanges. They utilize exceptional statistical analysis and data mining expertise, applying their research findings to make forecasts and create profitable predictive trading models.

Join our innovative team at pinely as a Staff Research Scientist / Principal Deep Learning Scientist, where you'll spearhead groundbreaking AI research initiatives. In this prominent individual contributor role, you will be at the forefront of technical advancements, crafting research strategies that influence the entire team.We are looking for someone with a profound curiosity and a strong history of leadership in AI laboratories. You should possess hands-on experience with neural networks and applied AI research, ready to take the initiative and make tangible contributions to the development and deployment of advanced models.Key Responsibilities:Lead the creation of AI models that underpin all elements of our trading strategies across global markets.Address the ultimate challenge of forecasting the future by “solving” the complexities of financial markets, leveraging your understanding of deep neural networks amidst diverse, noisy, and ever-evolving dependencies.Guide the direction of research and enhance team capabilities through your deep expertise and insights.Participate in all phases of research, from concept generation to deployment, ensuring the seamless integration of new findings into production systems.Qualifications:Experience as a Senior/Staff/Principal Researcher at a prestigious AI lab or as a faculty member (Professor/Lecturer) at a renowned AI research institution (e.g., Stanford, Berkeley, CMU, MIT, Mila, ETH, UofT, Oxford, UCL, NYU, Princeton).Preferred expertise in competitive, application-driven AI domains such as LLMs, reasoning architectures, generative modalities (e.g., video), or mechanistic interpretability.A drive for impactful research depth with a focus on contributing meaningfully to both the team and the wider field.What We Offer:A unique opportunity to make significant contributions across the entirety of our trading portfolio.Competitive compensation with exceptional profit-sharing potential.A research-driven environment where your deep technical insights directly influence outcomes.Flexibility to work part-time alongside your academic lab commitments.A culture that fosters personal initiative, supports exploration of new ideas, and acknowledges outstanding performance.Flexible work options, with the choice of working from our Amsterdam office or fully remotely, along with potential business travel as needed.

Pinely is seeking a dedicated and skilled Senior Research Analyst to enhance our intricate production systems utilizing advanced analytics and machine learning techniques. In this role, you will tackle complex challenges in an agile environment, applying your proficiency in statistical analysis and uplift modeling.Key Responsibilities Establish and execute performance metrics to track project success; Identify operational bottlenecks and opportunities for expanding market share; Refine trading constraints and assess the impact of proposed changes; Conduct A/B testing and rigorously analyze results; Break down strategies into quantifiable metrics; Detect anomalies and scrutinize performance discrepancies; Facilitate quicker decision-making processes by developing analytical dashboards; Enhance simulation reliability through the training of dynamic parametric models. Qualifications Proficient in Python, with hands-on experience in libraries such as pandas, numpy, and PyTorch; Strong foundation in probability and mathematical statistics; Demonstrated experience in data analysis and machine learning methodologies; Expertise in statistical testing and A/B experiment design; Familiarity with machine learning system architecture; A fervent interest in exploring complex, open-ended questions through data; Aiming to enhance decision-making processes based on probabilistic analysis; Passionate about optimizing metric sensitivity and statistical power. What We Offer Competitive base salary with attractive social benefits; Robust bonus structure with flexibility in salary discussions; Access to state-of-the-art hardware and software, along with high-caliber technical expertise, facilitating the implementation of innovative ideas and achieving outstanding results; Opportunities to trade across numerous international exchanges; Flexible working environment with minimal bureaucracy and management oversight; Tuition reimbursement and sponsorship for conferences and training programs.

Join our dynamic team at Pinely as a Deep Learning Research Group Lead, where you will spearhead innovative AI research initiatives and take full charge of one of our key subgroups. This pivotal role is essential to our organization as our deep learning strategies increasingly drive our business growth each year. The team you lead will have a significant impact across various markets and asset classes.Your Responsibilities:Lead the development of advanced AI models, particularly foundational models for market data, to accurately forecast prices of financial instruments in diverse and rapidly changing markets.Define and steer the research agenda: formulate hypotheses, design experiments, and thoroughly validate findings.Mentor and guide researchers, focusing on recruitment, motivation, development, and retention of top talent.Streamline the research process to ensure it is efficient, transparent, and value-centric.Consolidate results from various researchers into a cohesive, functional product.Engage in coding and strategy development, not merely oversight.Gradually broaden your responsibilities within the deep learning division.Candidate Profile:A passionate and adaptable deep learning researcher with a strong background in technical leadership.Preferably with expertise in competitive, application-driven AI fields such as large language models, reasoning systems, and generative models (e.g., video).Motivated by depth of research and real-world impact, eager to contribute meaningfully to both the team and the broader field.A supportive leader who maintains a high-performance pace while nurturing a positive team environment.While prior trading experience is beneficial, it is not mandatory; we value a first-principles mindset and a readiness to innovate within quantitative markets.What We Offer:Significant influence on a core aspect of the company—deep learning is vital for our growth.Immediate effect on real profit and loss: streamlined processes, rapid feedback loops, and direct evaluation of your contributions.A unique setting for data-driven research, complete with extensive datasets, reproducible experiments, and results substantiated by billions of observations.Robust engineering support and access to a Data Center equipped with H200s, doubling in capacity each year.Engagement with complex challenges in a highly competitive environment characterized by low signal-to-noise ratios and vast amounts of loosely correlated data that demand innovative, rigorous, and advanced solutions.The chance to create foundational models for finance, shaping the future of the quantitative industry.The freedom to experiment, delve into extensive research, and establish your vision for model and strategy development.A top-tier team based in Amsterdam, with strong offline collaboration and a streamlined hierarchy.

Join our innovative team at Pinely as a Senior Deep Learning Researcher, where your expertise will drive advancements in artificial intelligence and machine learning. We are looking for a passionate individual who thrives in a research-driven environment and is ready to take on the challenge of contributing to the high-frequency trading (HFT) sector. You will work independently on pioneering research projects that push the boundaries of technology.Key ResponsibilitiesEngage in groundbreaking research within the realms of artificial intelligence, machine learning, and associated quantitative disciplines.Design and implement state-of-the-art deep learning models and architectures.Conduct thorough analyses of extensive, unstructured, and noisy datasets to derive valuable insights.Investigate emerging methodologies and technologies to continuously improve research outcomes.QualificationsDemonstrated research experience, including publications in prestigious journals and conferences, or a PhD/MD in Computer Science, Electrical Engineering, Mathematics, or a related quantitative field.Robust foundation in machine learning and mathematical statistics with a proven track record of analyzing large, unstructured datasets.Hands-on experience and deep understanding of contemporary deep learning architectures, particularly transformers and their variants.Strong programming skills in any language, preferably Python.Experience in executing high-quality research projects.What We OfferAttractive base salary and comprehensive social benefits.Generous bonus structure with flexibility in salary and employment terms.Access to cutting-edge hardware and software, enabling you to implement innovative solutions that drive tangible results.Opportunities to trade on numerous international exchanges.Flexible work environment with minimal bureaucracy and pressure.Tuition reimbursement and sponsorship for conferences and training programs.

About Five RingsFive Rings is a leading proprietary trading firm driven by a commitment to leverage strategy, innovation, and cutting-edge technology to excel in today's dynamic global markets. With offices strategically located in New York, Boca Raton, London, and Amsterdam, we engage in trading across a wide array of domestic and international markets, including both well-established and niche sectors. Our team continuously explores new opportunities, carefully assessing their associated risks and rewards, and devising strategies and tools to capitalize on them.We pride ourselves on fostering an open culture that promotes the exchange of knowledge and ideas across all departments within the firm.About the RoleAs a Quantitative Trader, you will be at the forefront of managing unique trading strategies in fast-paced, live market environments. Your role will involve fine-tuning model parameters to align with current market conditions, executing trades informed by model recommendations, and analyzing real-time feedback from market participants’ reactions to enhance your models continuously.At Five Rings, we believe in empowering our team members with responsibility as they earn it. From day one, as a new Quant Trader (QT), you will gain unparalleled experience both on the trading desk and through educational opportunities.New hires will collaborate closely with seasoned traders to analyze risks and rewards, develop new strategies, and work alongside quants and software developers to construct and optimize trading models.Quant Traders will independently and collaboratively generate ideas and analyses, integrating them into our trading strategies and systems.About YouStrong quantitative focusAbility to thrive in a collaborative, high-energy environmentQuick learnerIntellectually curiousDetail-orientedSelf-starterWe encourage applicants to apply for multiple positions, but we strongly recommend selecting your top choice.

At the forefront of modern electronic trading, technology plays a critical role. IMC is on the lookout for exceptionally motivated individuals to leverage quantitative research methodologies and hands-on experimentation within the technology utilized by exchanges, connectivity providers, and our proprietary systems. Your mission will be to devise innovative strategies that enable us to outperform competitors in the fiercely competitive realm of ultra-low-latency trading.As a Performance Engineer at IMC, you will be integral in analyzing, optimizing, and fine-tuning the interaction of our systems with exchange technologies. Collaborating with cross-functional teams, you will be charged with identifying performance enhancements throughout the trading stack. This position merges technical expertise with innovative problem-solving to strategically outmaneuver the competition in a highly demanding technical environment.

Join IMC as a Trading Recruiter and play a pivotal role in expanding our talent acquisition initiatives across Europe. Your expertise will be essential in attracting and securing top-tier talent in trading and quantitative research, which are vital for our ongoing success. Collaborating closely with business leadership and global recruitment teams, you will design and implement innovative hiring strategies that align with our long-term vision, ensuring we consistently bring in the best talent in the industry.Your Key Responsibilities:Manage the complete recruitment process for trading and quantitative research roles across Europe.Serve as a trusted advisor to hiring managers, providing insights on market trends, candidate availability, and recruitment best practices.Utilize your deep understanding of IMC’s culture and industry to develop creative sourcing strategies that target both passive and active candidates in competitive markets.Build and maintain a robust industry network to proactively identify and attract top candidates from specialized fields.Assess candidates for both technical skills and cultural fit to ensure alignment with the hiring team’s needs.Deliver a personalized and engaging candidate experience that showcases IMC’s unique strengths.Continuously evaluate and enhance recruitment processes to optimize efficiency and quality of hire.Provide regular updates to stakeholders, celebrating successes, addressing challenges, and offering data-driven insights to shape recruitment strategies.

Join our dynamic team in Amsterdam as a C++ Team Lead, overseeing the pivotal Trading Systems team that drives our core operations. You will leverage your expertise to lead the development and optimization of trading systems across various markets, collaborating closely with engineers and software developers. This role demands a strong commitment to technical research and close collaboration with our quantitative analysts to enhance system performance and reliability.Key Responsibilities:Architect and sustain high-performance trading systems utilizing modern C++ for diverse exchanges;Execute production tests to analyze protocols, feeds, and competitiveness, focusing on optimizing the fill ratio;Create low-latency inference solutions adaptable to varied hardware environments;Identify and implement optimal hardware and software configurations that meet stringent latency and performance metrics;Partner with researchers, business development teams, and key stakeholders to refine and elevate the overall trading process.

Are you ready to elevate your career in consulting? Do you excel at the crossroads of strategy, technology, and sustainability? If you're keen to lead client workstreams, manage teams, and deliver impactful results swiftly, SparkOptimus could be your next career destination. Your RoleAs a Junior Manager at SparkOptimus, you will be responsible for overseeing the entire scope of smaller client projects or multiple workstreams within larger initiatives, ensuring they are guided from inception to completion. You will structure and spearhead strategic initiatives, manage both client and internal teams, and facilitate seamless execution across all phases. Your contribution will be vital in ensuring quality delivery, fostering effective team collaboration, and translating insights into actionable outcomes. Key ResponsibilitiesIndependently manage one or two smaller projects or large workstreams.Lead client interactions by communicating effectively, building trust, and guiding clients from insights to actionable steps.Synthesize complex challenges, structure analyses, and deliver clear narratives with actionable next steps.Ensure smooth project operations, focusing on planning, timelines, stakeholder management, and team guidance.Mentor and develop junior team members through formal and informal coaching.Drive implementation efforts, making a tangible impact beyond strategy.Contribute to the broader knowledge base of SparkOptimus and support internal initiatives. Why Join SparkOptimus?SparkOptimus empowers organizations to harness the potential of disruption. We initiate and scale transformative projects that enhance the lives of consumers and customers sustainably. Our pragmatic approach, akin to a start-up mindset, is focused on delivering value for clients globally, including renowned organizations like Heineken, FrieslandCampina, Eneco, ING, IKEA, and AkzoNobel. We collaborate with leaders to clarify objectives and strategies, cultivating the capabilities and culture required to implement change at all organizational levels. At SparkOptimus, we value diversity and inclusion as fundamental to our identity and operations. We are committed to providing equal opportunities and fair treatment for all employees, ensuring that everyone feels acknowledged, valued, and supported. Additionally, SparkOptimus is a certified B Corp, meeting rigorous standards of social and environmental impact, transparency, and accountability. We leverage business as a force for good, driving positive change for our clients, employees, and the community.

We are thrilled to present an exciting internship opportunity for a Machine Learning Research Intern to become part of our dynamic team in Amsterdam. In this role, you will engage in pioneering projects aimed at developing and enhancing high-frequency trading (HFT) strategies utilizing machine learning (ML), deep learning (DL), and reinforcement learning (RL) techniques. You will collaborate closely with seasoned researchers and engineers, gaining valuable hands-on experience in deploying advanced ML methodologies on real-world financial datasets. This internship provides a unique chance to delve into the intersection of artificial intelligence and quantitative finance, contributing to our ongoing mission to automate and optimize trading strategies within a rapidly evolving market landscape.The internship duration ranges from 3 to 6 months, adaptable based on team needs and intern availability. Successful interns may receive an offer for a full-time position at Pinely.ResponsibilitiesEngage in innovative research and development of high-frequency trading (HFT) strategies;Analyze HFT strategies and market microstructures to discover new trading opportunities;Collaborate with developers and fellow researchers to implement and enhance trading strategies;Contribute to the refinement of existing trading strategies and assist researchers in the design of quantitative strategies.RequirementsA strong passion for research;In-depth understanding of probability theory and mathematical statistics;Experience with machine learning methodologies;Proficiency in Python programming.Preferred QualificationsParticipation in ML competitions, hackathons, or mathematical/programming Olympiads;Experience with big data processing technologies (MapReduce, Hadoop, Apache Spark);Demonstrated excellence in competitive programming contests;Engagement with ML conferences.What We OfferA team of exceptional individuals, including Kaggle Grandmasters, ACM ICPC World Finalists, and contributors to A* conferences;A robust and adaptable infrastructure to support your strategies and innovations, enabling daily testing of ideas on a real-time production leaderboard, fostering an environment ripe for experimentation and iteration;A modern, fully equipped office designed for productivity and comfort;A friendly workplace that values and prioritizes a healthy work-life balance to support the well-being of our team;Engaging corporate and team events.