Quantitative Researcher - Modeller

Join IMC Trading as a Quantitative Researcher - Modeller, where you'll harness your expertise to develop high to mid-frequency delta one trading strategies and predictive models tailored for the APAC markets. If you're passionate about advancing the integration of Machine Learning into trading processes, enhancing execution efficiencies, and collaborating wi…

About the Role NielsenIQ is hiring a Quantitative Research Analyst in Kowloon. This entry-level role focuses on analyzing data and supporting research projects that inform business strategy. The position involves hands-on work with analytical tools and research methods. What You Will Do Work with quantitative data to uncover trends and insights Support research projects from data collection through analysis Use analytical tools and established methodologies to interpret findings Contribute to reports that help guide strategic decisions Location This position is based in Kowloon.

About the PositionJane Street is seeking talented Quantitative Researchers to assist in the creation of models, strategies, and systems designed for pricing and trading financial instruments. You will collaborate closely with our seasoned researchers who are dedicated to mentoring and guiding new team members. This role will immerse you in the intricacies of experimental design, dataset generation, time series analysis, feature engineering, and model development tailored for financial datasets.At Jane Street, our researchers, engineers, and traders work in close proximity, fostering a collaborative environment where we train models, design systems, and execute trading strategies. Our team has access to vast amounts of data, including petabytes of information, and operates on a computing cluster with hundreds of thousands of cores, alongside an expanding GPU cluster with thousands of high-end GPUs. On any given day, you might delve into market data analysis, hyperparameter tuning, debugging distributed training performance, or examining the trading behavior of our models in a live environment.We reject the notion of “one-size-fits-all” modeling solutions; instead, we embrace a wide array of statistical and machine learning techniques, ranging from linear models to deep learning, depending on the specific challenges at hand. The most successful researchers will be those who are curious about how their contributions integrate into our broader trading operations and how to translate their findings into effective strategies.About YouIf you haven't considered a career in finance before, you're not alone; many of us started in the same place before joining Jane Street. If you possess a curious mind and a passion for tackling complex problems, you are likely to thrive here. We are looking for individuals who are:Capable of applying logical and mathematical reasoning across various challengesIntellectually curious and eager to ask questions, acknowledge mistakes, and learn continuouslyProficient in programming, particularly in PythonAn open-minded thinker and precise communicator who enjoys collaborating with colleagues from diverse backgroundsFluent in EnglishWhile many candidates may bring experience in data science or machine learning, we prioritize your thought process and learning ability over your current knowledge. A PhD or equivalent research experience is advantageous but not necessary.To find out more, you can explore our interview process and meet some of the team.

At Jump Trading Group, we are dedicated to pioneering world-class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to explore scientific boundaries, transcend them, and apply innovative research to global financial markets. Our culture thrives on constant innovation, fostering fearlessness, creativity, intellectual honesty, and a competitive spirit. We believe in achieving success together while unlocking individual talents through collaboration and mutual respect. At Jump, our research outcomes not only drive superior risk-adjusted returns but also shape technologies that transform our world, fund startups across various industries, and collaborate with leading global research organizations and universities to tackle complex challenges.We are expanding our successful global equity statistical arbitrage business by establishing a new team of quantitative researchers focused on developing mixed-frequency (low/mid) strategies from our Hong Kong office. This team will implement unique and differentiated research approaches, comprising top talent across the fields of Quantitative Research, Machine Learning, Large Language Models, and Engineering.

Join FUKU, a pioneering force in the financial technology landscape, where we excel in quantitative research and algorithmic trading. Our unwavering commitment to innovation and excellence drives us to utilize state-of-the-art technology and data-centric approaches to provide our clients with exceptional investment opportunities. Our expert team is dedicated to redefining the frontiers of financial research, delivering unmatched insights and performance to our clients.Job Responsibilities:- Perform quantitative research to develop and refine trading strategies.- Analyze extensive datasets to uncover patterns and trends within financial markets.- Collaborate with software engineers to implement and rigorously test trading algorithms.- Create robust statistical models for market movement forecasting and risk assessment.- Continuously monitor and enhance existing trading strategies to maximize performance.- Communicate research findings and insights effectively to stakeholders and team members.- Keep abreast of the latest advancements in quantitative finance and technology.

Join Animoca Brands, a pioneer in the Web3 space, as a Quantitative Researcher. We are at the forefront of leveraging tokenization and blockchain technology to empower digital property rights for consumers, ultimately shaping the open metaverse. Our mission is driven by three interconnected pillars:Web3 Businesses: We advance blockchain adoption through innovative projects like Moca Network, Anichess, The Sandbox, and more.Digital Asset Advisory Services: We offer insights on tokenomics, liquidity, and institutional research to bolster external Web3 projects.Investment Management: Our diverse portfolio includes over 540 companies, featuring industry frontrunners such as Pudgy Penguins, Yuga Labs, and Axie Infinity.- Conduct quantitative research and analysis to formulate effective trading strategies and investment models tailored for the crypto market.- Employ statistical methodologies and data analysis tools to uncover valuable insights and recognize emerging market trends.- Design and execute trading algorithms and quantitative models aimed at enhancing trading performance and effective risk management.- Collaborate with interdisciplinary teams to weave quantitative research into actionable trading strategies and investment decisions.- Remain informed on industry advancements, market shifts, and regulatory updates to guide research initiatives and strategic decision-making.

Join IMC Trading as a Quantitative Researcher focused on High-Frequency Trading (HFT). We are seeking talented individuals to innovate and develop delta one trading strategies and predictive models for the APAC markets. If you are passionate about leveraging Machine Learning to redefine trading practices and enhance execution efficiency while collaborating with the best minds in the industry, this is the opportunity for you.Your role will involve conducting extensive data analysis to generate statistically significant predictions of market behavior. These insights will guide our trading strategies and demonstrate a tangible impact across our operations. You will play a key role in shaping our research direction and tools, harnessing our competitive advantages in market access, global reach, options expertise, and low latency technology. The rapid advancements in Machine Learning have opened up exciting challenges for us to tackle.As part of our established and growing research team, you will work closely with traders, software developers, and hardware engineers to refine our models and directly influence our trading outcomes. At IMC, we believe in teamwork and open collaboration across various disciplines, ensuring that every idea is valued.

OKX is seeking a Senior Quantitative Manager focused on model risk, with a specialization in Financial Crime and Anti-Money Laundering (AML), based in Hong Kong. Role overview This position leads efforts to build and maintain model risk frameworks that address risks tied to financial crime. The Senior Quantitative Manager will guide the development and implementation of these frameworks, helping protect the organization from threats related to AML and other financial crime activities. Collaboration and impact Collaboration with cross-functional teams is central to this role. The Senior Quantitative Manager applies quantitative analysis skills to strengthen risk assessment processes, working alongside colleagues from different departments to support compliance and operational integrity. Key responsibilities Lead the design and execution of model risk frameworks for financial crime and AML. Partner with teams across the company to improve risk assessment methods using quantitative expertise. Ensure that risk management practices align with regulatory requirements and support the integrity of company operations.

Join IMC, a leading global trading firm, as we seek seasoned quantitative researchers to innovate and develop high-frequency delta one trading strategies and predictive models tailored for the APAC markets. If you are passionate about leveraging Machine Learning to enhance trading strategies and improve execution efficiency, this opportunity is tailor-made for you.In this role, you will conduct extensive data analysis to generate statistically sound predictions regarding market behavior. Your insights will play a crucial role in shaping our trading decisions, yielding significant impacts across our operations. You will also influence our research direction and tooling, capitalizing on our established advantages in market access, global reach, and low latency. Machine Learning has already accelerated our capabilities, allowing us to tackle some of the most compelling challenges in the industry.As part of a dynamic and expanding research team, you will collaborate closely with traders and technical teams to enhance our models and witness their effects on our trading outcomes. At IMC, we believe in teamwork, fostering an environment of open communication and idea sharing across different desks and offices.

About the Position Join Jane Street as a Quantitative Researcher Intern and immerse yourself in a unique educational experience that offers insight into the world of quantitative finance. You will collaborate closely with seasoned Quantitative Researchers to uncover market signals, analyze extensive datasets, develop and validate models, and innovate new trading strategies. At Jane Street, we intentionally blur the lines between research, technology, and trading. As our strategies evolve, collaboration becomes crucial in pushing the limits of financial possibilities. Our work involves managing petabytes of data, utilizing a computing cluster with hundreds of thousands of cores, and accessing a GPU cluster with tens of thousands of high-performance GPUs. We embrace a diverse range of statistical and machine learning techniques—from linear models to deep learning—tailored to the specific challenges we face. Throughout your internship, you will engage in hands-on projects that stem from the work of our full-time researchers. This will provide you with a comprehensive understanding of the various challenges we tackle daily, including experimental design, dataset generation, time series analysis, feature engineering, and model construction for financial datasets. Coupled with your project work, you'll participate in classes covering fundamental market and trading principles, lunch seminars, and activities designed to give you a holistic view of the trading strategy development process—from initial exploration to operationalizing a signal. About You We welcome individuals from diverse backgrounds, including those who may not have previously considered a career in finance. While many candidates possess experience in data science or machine learning, we prioritize your critical thinking and learning ability over your current knowledge. Ideal candidates should: Exhibit logical and mathematical reasoning in problem-solving Demonstrate intellectual curiosity, a willingness to ask questions, acknowledge mistakes, and learn Be proficient in programming, particularly with Python Communicate clearly and collaborate effectively with colleagues from various fields Be fluent in English While most interns are current undergraduate or graduate students, we also encourage applications from recent graduates exploring new opportunities in finance. Previous research experience is a plus.

Join IMC Trading, a leader in quantitative research and high-frequency trading, as we seek talented quantitative researchers to innovate and enhance our delta one trading strategies and predictive models within the China Commodity Futures and Options market. If you are passionate about advancing the integration of Machine Learning in trading and eager to leverage our superior execution capabilities, this role offers you an exciting opportunity to contribute to our goal of becoming the world's premier trading firm. Your primary responsibility will involve conducting extensive data analysis to develop statistically sound predictions regarding market behavior. These insights will directly inform our trading decisions and significantly enhance our performance across the firm. You will play a vital role in shaping our research direction and tooling as we capitalize on our established advantages in market access, global reach, options expertise, and low latency trading. The rapid advancements in Machine Learning present us with fascinating challenges that require innovative solutions. As part of a dynamic and collaborative research team, you will work alongside traders, software developers, and hardware engineers to refine our models and see the tangible impacts of your contributions on our trading results. At IMC, we celebrate teamwork, encouraging open communication and idea sharing across various disciplines and offices.

About the Position Jane Street is seeking talented Quantitative Researchers to develop innovative models, strategies, and systems for pricing and trading financial instruments. In this role, you'll leverage your expertise in experimental design, data generation, time series analysis, feature engineering, and model building to analyze financial datasets. You'll collaborate closely with a team of driven professionals who are eager to challenge and enhance your methodologies. At Jane Street, our researchers, engineers, and traders work side by side, fostering an environment of collaboration. We handle petabytes of data and operate a vast GPU cluster featuring tens of thousands of high-performance GPUs. Your day may involve delving into market data, fine-tuning hyperparameters, troubleshooting distributed training issues, or analyzing how our models perform in live trading scenarios. We reject a “one-size-fits-all” approach to modeling; instead, we embrace diverse statistical and machine learning techniques, ranging from linear models to deep learning, tailored to suit specific challenges. The most successful candidates will possess a strong curiosity about how their contributions influence our broader trading strategies, with a focus on translating their insights into actionable solutions.

At Jump Trading Group, we are dedicated to pioneering world-class research in the financial markets. We invite exceptional talents in Mathematics, Physics, and Computer Science to explore scientific boundaries, break through them, and apply innovative research to global trading environments. Our unique culture fosters constant innovation, demanding fearlessness, creativity, intellectual integrity, and a relentless competitive spirit. We believe in collective success and in maximizing individual strengths through collaboration and mutual respect. At Jump, our research initiatives not only aim for superior risk-adjusted returns but also drive the development of transformative technologies, support start-ups across various sectors, and collaborate with leading research institutions and universities to tackle complex challenges.Our trading teams consist of dynamic traders, quantitative researchers, and engineers who collaborate to analyze global markets, striving to comprehend the intricacies of diverse traded products and exchanges. Leveraging exceptional statistical analysis and data mining skills, they utilize their research outcomes to forecast trends and create profitable predictive trading models.

Role Overview Smartkarma is looking for an Independent Quantitative Analyst based in Hong Kong. This position focuses on delivering data-driven insights that inform investment decisions. The analyst will collaborate with a range of professionals and apply quantitative techniques to interpret data and build models for client strategies. What You Will Do Analyze large datasets using quantitative methods Develop and refine models to support investment strategies Work closely with a multidisciplinary team to share findings and inform decision-making

Join IMC as a Quantitative Trader specializing in monetization research and backtesting for high- to mid-frequency delta-one equity strategies. This role focuses on in-depth research, systematic evaluations, and capital efficiency, as you collaborate with quantitative researchers and engineers to convert trading signals into scalable, profitable strategies. Situated in Sydney, this position is perfect for those who excel in research-driven trading, large-scale data analysis, and rigorous performance validation. Exceptional candidates from top global trading firms may be considered for our Hong Kong office.

OKX is seeking a Senior Model Risk Quant Manager with a focus on Financial Crime and Anti-Money Laundering (AML) for its Hong Kong or Singapore office. This role centers on leading the model risk management framework and guiding a team of quantitative analysts who evaluate, validate, and improve models used for compliance and risk management. Role overview This position involves direct responsibility for ensuring the reliability and regulatory alignment of financial models. The Senior Manager will work to strengthen the integrity of the company's risk management systems, with a particular emphasis on models related to financial crime and AML. Key responsibilities Lead and mentor a team of quantitative analysts in model evaluation, validation, and enhancement. Oversee the implementation and ongoing management of the model risk framework. Develop quantitative strategies to address and mitigate risks tied to financial crime and AML. Collaborate with cross-functional teams to provide expert insights and actionable recommendations for improving risk assessment processes. Impact Your work will help safeguard OKX's operations and reputation by ensuring models are reliable and compliant with regulatory standards. This role offers the chance to shape risk management practices and contribute to the organization's ongoing commitment to compliance and security.

fuku is looking for a Quantitative Trader to join the team in Hong Kong. This role centers on using advanced quantitative techniques and data analysis to inform trading choices and help drive profitability. The position involves working with a variety of financial instruments and collaborating closely with the trading desk to help shape overall strategy. What you will do Develop and refine trading strategies through quantitative analysis Examine large volumes of market data to spot trends and trading opportunities Operate with multiple financial instruments in a live trading setting Apply market knowledge and analytical skills to support trading activity Share insights and ideas with the trading team Location This position is based in Hong Kong.

About WincentAt Wincent, we are pioneers in High-Frequency Trading (HFT) within the cryptocurrency sector, accounting for approximately 1% of the global crypto trading volume. Our dynamic team of 150, primarily composed of engineers, traders, and quantitative analysts, thrives in a unique environment where we:Value our culture immensely.Are largely self-taught, with founders who do not hail from traditional HFT backgrounds.Prioritize employee ownership over external venture capital funding.Operate our central hub from Bratislava, distancing ourselves from typical financial hubs like London and Amsterdam.Company CultureWe recognize that work occupies a significant portion of our lives, and we believe it should be fulfilling rather than a mere obligation. We strive to create a workplace that is worthwhile and enjoyable.Integrity is Non-Negotiable.We hold ourselves to the highest ethical standards, believing that no financial gain is worth compromising our values. Our commitment to integrity is paramount.Transparency is Key.We favor honesty and straightforwardness over office politics and ambiguity.Trust is Fundamental.We practice radical transparency in all operations, including compensation, bonuses, and trading methodologies.Position OverviewWe are on the lookout for a knowledgeable quantitative trader who can contribute invaluable insights and experiences to our HFT strategies.Candidate ExpectationsEssential QualificationsMinimum of 2 years of experience in quantitative HFT.Robust understanding of probability, statistics, and data modeling with a scientific approach.Proficiency in coding, preferably in Python.A strong sense of ownership and accountability for outcomes, with a drive to enhance processes.Willingness to relocate to Bratislava.Preferred QualificationsExperience in the cryptocurrency market.Capability to write production-quality code.Previous leadership experience.Your RoleYou will collaborate in small teams to generate innovative research ideas while also working on existing strategies that require enhancement or complete overhaul, utilizing your expertise as the primary driver of success.

OKX is seeking a Quantitative Trader specializing in Cash OTC, based in Hong Kong. This position centers on both designing and executing trading strategies with the goal of increasing profit while managing risk. What you will do Develop and implement trading strategies for cash over-the-counter markets Work closely with a team of experienced traders and professionals Utilize advanced trading technology to optimize performance Collaboration This role involves frequent interaction with colleagues, sharing insights and refining strategies as a team. Expect to work in an environment where technology and teamwork drive results. Location This position is based in Hong Kong, Hong Kong SAR.

We are seeking a talented and analytical Quantitative Analyst specialized in options trading to join our dynamic team at Crypto. In this role, you will leverage your quantitative skills to develop and implement innovative trading strategies, conduct rigorous analysis, and optimize trading performance in a fast-paced environment.