Quantitative Research Intern

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 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.

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.

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.

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 WPP Media as a Research Intern and immerse yourself in an innovative environment where creativity meets data-driven insights. As part of our dynamic team, you will assist in conducting comprehensive research that drives strategic decisions and enhances our client offerings. This is a unique opportunity for individuals eager to grow their skills in a fast-paced media landscape.

Role Overview Pinely is looking for a Quantitative Developer in Amsterdam, North Holland. This role focuses on building and refining financial models using advanced mathematics and programming. The work shapes how quantitative methods support the company’s products and decision-making. What You Will Do Design, implement, and improve quantitative algorithms for financial modeling Optimize code for performance and reliability Work with teams across the company to embed quantitative techniques into products Support data-driven decisions through technical expertise

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.

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.

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.

At IMC Trading, we recognize that technology is the cornerstone of our competitive advantage, and machine learning plays a pivotal role in our trading strategies. In recent years, we have diligently enhanced our machine learning capabilities by building robust infrastructure, expanding our in-house GPU cluster, deploying models into production, and collaborating closely with quantitative researchers and traders to create significant impact. As we continue to grow, we are looking to expand our team, enhance our systems, and accelerate the integration of deep learning into our research and execution workflows.We are seeking a Lead Principal Machine Learning Engineer to guide the next evolution of our platform — influencing architecture, promoting best practices, and addressing high-impact challenges. You will collaborate with researchers and technologists to design systems that facilitate experimentation, training, and deployment of machine learning models, while also helping to define the future approach to machine learning at IMC as we scale. If you have experience building machine learning infrastructure at scale and want to play a key role in shaping our firm's trajectory, we invite you to connect with us.

Join JetBrains as a Staff Research Engineer specializing in pre-training technologies. In this pivotal role, you will lead groundbreaking research initiatives aimed at enhancing our AI capabilities. Collaborate with a talented team of engineers and researchers to innovate and implement cutting-edge solutions that push the boundaries of software development and AI integration.

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.

About CuspAICuspAI is a pioneering AI company dedicated to unlocking breakthrough materials essential for advancing human progress. While nature has taken billions of years to refine molecules, we leverage the power of AI to achieve trillion-dollar material breakthroughs in mere months instead of millennia. Our founding team is recognized as the most cited globally, featuring elite researchers in AI, chemistry, and engineering.We tackle some of the most pressing and complex challenges, including energy solutions, clean water access, future computing technologies, and carbon capture. This is merely the beginning of what our innovative 'search engine' for next-generation materials can achieve.Join our diverse and forward-thinking team at the intersection of AI and materials science, where your contributions will foster impactful partnerships and drive innovation, scalability, and collaboration across industries. Your work is significant—let’s make it count.Be part of the on-demand materials revolution. Join us!

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.

Are you an ambitious HBO or WO student passionate about Finance, Treasury, or Economics? If you are eager to challenge yourself and make a meaningful contribution to a prestigious international organization, we have an exciting opportunity for you!MHI International Investment B.V. (MII BV), the Finance Competence Center of Mitsubishi Heavy Industries, is seeking a dedicated and proactive Treasury Intern to join our team full-time at our office located in the esteemed Zuidas district of Amsterdam. This internship is set to begin in August/September and will last for a duration of 4-6 months.Our team, consisting of 5 to 10 professionals in the Netherlands, is committed to supporting financing operations globally. We provide innovative financial solutions to our affiliates worldwide, serving as a critical link between them and our group banking partners.Your Responsibilities:As a Treasury Intern, you will engage in a variety of stimulating tasks that will enhance your skills and expand your knowledge, including:Performing Market Conformity Checks on Foreign Exchange and Money Market transactions.Assisting in the implementation of Corporate Governance related to Treasury matters.Facilitating Treasury project management to enhance financial structures globally.Supporting local entities in gathering liquidity planning data and managing FX exposure, with potential travel opportunities to provide training to affiliates.Compiling essential financial data for Group CFO reporting.Overseeing bank fee controls across the organization.RequirementsWho You Are:We are searching for a motivated intern who is eager to learn and contribute to our dynamic team. Ideally, you:Are currently pursuing a Bachelor’s (3rd or 4th year) or Master’s degree in Finance, Economics, or a related discipline.Possess strong proficiency in English (both spoken and written).Exhibit excellent analytical skills with a meticulous attention to detail.Thrive in a dynamic, fast-paced environment.Are a self-starter with top-notch organizational skills.Demonstrate flexibility and adaptability to changing priorities.Showcase strong administrative and communication skills.Excel as a team player who enjoys collaborating with others.

Our PurposeAt SentinelOne, we are driven by a clear purpose: to empower those who safeguard our future. As artificial intelligence transforms how organizations operate and innovate, the imperative to protect them intensifies. Joining SentinelOne means your contributions will help defend global enterprises, critical infrastructure, and the technologies that will shape the future. If you are inspired by meaningful challenges and desire to make a global impact, you will find your purpose here.About UsSentinelOne operates at the cutting edge of AI and security, leading the charge in redefining the cybersecurity landscape. Our AI-driven platform integrates protection across endpoint, cloud, identity, data, and AI systems, ensuring autonomous detection and response with clarity and efficiency. By leveraging real-time analytics, intelligent automation, and a cohesive data foundation, we minimize distractions, streamline complexities, and empower security teams to concentrate on what truly matters.Our team comprises builders, problem-solvers, and innovators focused on shaping the future of security. If you are eager to tackle challenging problems alongside talented, mission-driven individuals, we welcome you to join us in creating a safer future for humanity.What Are We Looking For?We seek individuals who are insatiably curious and dedicated to continuous learning. As AI reshapes every aspect of our business, we enable every team member, regardless of role or level, to gain fluency in AI tools and concepts. Those who excel here actively pursue new solutions, experiment thoughtfully, and apply their learnings to achieve improved, quicker, and smarter results.As an Employee Experience Intern, you will play a vital role in fostering a meaningful and engaging workplace for our employees through a combination of administrative support, program coordination, and creative projects. Your responsibilities will include assisting with onboarding logistics, benefits documentation, wellness initiatives, internal communications, and organizing in-person events. The ideal candidate is organized, proactive, and passionate about cultivating an inclusive and impactful employee experience. This is a fantastic opportunity to gain hands-on experience across various areas of HR, culture, and operations within a rapidly growing tech company.Your Responsibilities:Onboarding• Assist in logistics, materials, and checklists for onboarding• Coordinate first-day experiences and collect feedbackBenefits & Wellness• Organize wellness initiatives and benefits communications

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.