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Experience Level
Entry Level
Qualifications
Ideal candidates will possess:A foundational understanding of data analysis techniques and tools. Basic proficiency in programming languages such as Python or R. Strong analytical skills and attention to detail. Excellent problem-solving abilities and willingness to learn. A degree in Data Science, Statistics, Computer Science, or a related field is preferred but not mandatory.
About the job
Join Veolia Environnement S. A. as a Junior Data Scientist on a one-year renewable contract. This is an exciting opportunity for entry-level candidates looking to kickstart their careers in data science. You will engage with data to extract insights, support decision-making processes, and contribute to our sustainability initiatives.
About Veolia Environnement S.A.
Veolia Environnement S. A. is a global leader in optimized resource management. We provide innovative solutions in water, waste, and energy management that contribute to the sustainable development of communities. Join us to help create a more sustainable future.
Join Bosch Group as a Data Modeler, where your skills in data architecture and model design will play a pivotal role in transforming data into actionable insights. You will collaborate with cross-functional teams to develop robust data solutions that enhance business decision-making.
Full-time|On-site|Hong Kong, Hong Kong; Sydney, Australia
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 within a top-tier trading firm, this role is ideal for you. In this position, you'll undertake extensive data analysis to generate statistically sound predictions of market behavior, directly influencing our trading strategies and leading to visible improvements throughout the organization. Your contributions will help steer our research initiatives and tooling advancements, capitalizing on our significant advantages in market access, global reach, options insight, and low latency. The rapid evolution of Machine Learning has opened up exciting challenges that we are eager to tackle. You'll be part of a dynamic and expanding research team, working closely with traders, software engineers, and hardware specialists to refine our models and see their effects on our trading outcomes. At IMC, we believe in teamwork, open communication, and the collective pursuit of excellence.
About the Position Join our dynamic Cybersecurity team as a Cybersecurity Engineer focused on Threat Modeling, where you'll play a crucial role in enhancing the security framework of our applications, data, infrastructure, and processes. This position is ideal for those with a hands-on approach, as it requires technical expertise to identify and mitigate vulnerabilities while collaborating with teams across the organization. Your experience in offensive security will be fundamental in analyzing potential threats and developing strategic security solutions tailored to our unique challenges. You'll engage deeply with technical details and contribute to architectural improvements, translating security principles into actionable strategies. This role also involves close collaboration with system owners who possess intricate knowledge of their applications but may overlook potential exploits. You'll work with them to identify vulnerabilities, ensuring a balance between security measures and business objectives. As a valued member of our Cybersecurity team, you'll collaborate with a talented group of programmers and security specialists committed to safeguarding our organization. Our initiatives span a variety of areas, including software engineering, DevOps, risk analysis, security governance, and cyber awareness.
Full-time|On-site|Hong Kong, Hong Kong SAR; Singapore, Singapore
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.
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 Lalamove, where we harness the strength of community. As a Business Data Analyst, you will collaborate with enthusiastic professionals from diverse teams, diving into data to extract valuable insights. Your work will empower our Product, Marketing, and Operations teams, driving informed decision-making. We're seeking a candidate passionate about transforming data into strategic advantages, shaping the future of Lalamove's offerings.
AI Trainer - Remote Position in Hong Kong About ProlificProlific is at the forefront of the AI revolution, dedicated to creating the largest pool of high-quality human data globally.With over 35,000 AI developers, researchers, and organizations leveraging our platform, Prolific connects paid study participants with a diverse range of experiences, knowledge, and skills.The RoleWe are seeking AI Trainers based in Hong Kong to assist in training and evaluating cutting-edge AI models. If you possess the required skills, we will provide a quick assessment test to evaluate your capabilities in AI tasks. Successful candidates will be invited to join Prolific as participants and will be compensated for their work in training and evaluating advanced AI models.Compensation for your expertise typically amounts to $20/hour for each completed AI task. Please note that tasks usually require one hour of focused work, though many are shorter in duration. What You’ll Bring Exceptional attention to detail and the ability to focus on complex tasks for up to one hour at a time.A reliable and fast internet connection, along with access to a computer.Willingness to self-report your earnings, as our participants are self-employed.A PayPal account to receive payments from our clients.Your Responsibilities Completing AI training assignments that involve analyzing, editing, and writing in your preferred languages.Evaluating the performance of AI across various formats.Enhancing state-of-the-art AI models.
Join Capco’s Innovative Data Team – Pioneering Change in Financial ServicesAt Capco, we are a leading global consultancy revolutionizing the financial services sector. In the vibrant city of Hong Kong, we collaborate with premier banks and insurance companies to deliver state-of-the-art solutions that will define the future of finance. If you are passionate about data and eager to make a significant impact, this opportunity is for you.Why Choose Capco?Data is the cornerstone of digital transformation, and at Capco, we are at the forefront. Our Data Team is dedicated to designing cutting-edge architectures, developing advanced analytics platforms, and harnessing AI, machine learning, and cloud technologies to tackle the most pressing challenges in financial services.You will engage in high-stakes projects that truly matter, assisting clients in uncovering insights, driving innovation, and maintaining a competitive edge in a rapidly changing landscape.Your Role: Senior Data ArchitectAs a senior member of our Data Team, you will:Design and implement next-generation data architectures that facilitate cloud adoption and enable enterprise-scale analytics.Advise and enact best practices for data governance, security, and optimization.Craft strategic roadmaps that align data initiatives with overarching business objectives.Lead client interactions, influence key stakeholders, and manage project delivery in fast-paced environments.Drive innovation by developing services and capabilities that represent Capco’s vision for Modern Data Architecture.This role is ideal for individuals who excel at the intersection of business and technology and are motivated to create tangible impact.
Join our dynamic team at Lalamove as a Senior Data Analyst! In this pivotal role, you will collaborate with talented professionals across various departments to dive deep into data analysis and extract actionable insights. Your work will directly empower our Product, Marketing, and Operations teams, enabling them to make informed, data-driven decisions. The ideal candidate is passionate about utilizing data to drive value and shape the future of innovative Lalamove products.
Director of Data EngineeringAbout OKX:At OKX, we are passionate about transforming the future through cryptocurrency, empowering individuals with financial freedom. As a premier crypto exchange and creator of the OKX Wallet, we provide millions with seamless access to crypto trading and decentralized applications (dApps). Our platform is trusted by numerous large institutions for secure access to crypto markets, backed by our robust Proof of Reserves. Our global offices embody our core principles: We Before Me, Do the Right Thing, and Get Things Done. These values shape our culture and create a diverse, rewarding environment for every member of our team.About the Data Team:The OKX Data Team is pivotal in maintaining the company’s comprehensive data ecosystem, overseeing the full data lifecycle from technology selection and architecture design to data ingestion, storage, ETL development, visualization, business intelligence, and advanced data science. Our mission is to ensure data reliability, scalability, and actionability across OKX, facilitating evidence-based decision-making and consistently improving our products and services.Your Role:As the Director of Data Engineering, you will lead a high-impact team responsible for pioneering data initiatives that align with our strategic objectives. You will play a crucial role in enhancing our data infrastructure and driving the development of innovative data solutions.
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.
Join us at BHFT as we develop a cutting-edge data platform that enhances systematic trading across over 10 global exchanges. In this pivotal role, you will lead the Data Engineering team tasked with the ingestion, processing, storage, and serving of all market, reference, and alternative data with a focus on low latency and high reliability. You will take charge of the advancement of our Feature Store, which fuels our live trading systems and research pipeline. This position offers substantial ownership and influence over our trading technology stack.Key ResponsibilitiesOversee the end-to-end execution of core data engineering projects, including market data platforms, real-time and batch data pipelines, feature stores, and scalable storage and processing solutions.Lead and mentor the Data Engineering team; translate business and research requirements into actionable roadmaps, execution plans, and engineering standards (e.g., code quality, testing, CI/CD).Manage data ingestion and processing for both live and historical datasets, defining SLAs, data quality metrics, monitoring processes, schemas, and governance.Collaborate closely with researchers, product and engineering teams, as well as compliance and risk departments, to facilitate rapid experimentation and dependable production deployment.
Join Veolia Environnement S.A. as a Junior Data Scientist on a one-year renewable contract. This is an exciting opportunity for entry-level candidates looking to kickstart their careers in data science. You will engage with data to extract insights, support decision-making processes, and contribute to our sustainability initiatives.
Chaos Theory stands at the intersection of sports, entertainment, and cryptocurrency. Data drives every decision here, from balancing platform economies and powering live events to improving player engagement. The Senior Business Intelligence Analyst / Data Scientist role is central to turning large volumes of behavioral data into smarter, more adaptive systems for our platform. Role Overview This is a hands-on position for someone who owns the data process end-to-end: designing queries, extracting insights, and shaping strategic direction. The work directly influences how the business grows and how users experience our products. What a Typical Day Looks Like Analyze millions of player event records to spot behavioral trends after new feature launches. Build and refine statistical models, predict player lifetime value or measure the impact of recent A/B tests. Work closely with Product and Engineering to adjust platform economy settings, such as reward systems or volatility, to keep users engaged and business targets on track. Translate analytical findings into clear, actionable recommendations for leadership and cross-functional teams. What You Bring Technical experience: At least 4 years in data analytics or data science, ideally within fintech, gaming, or consumer technology. SQL expertise: Comfortable writing and optimizing advanced queries for large datasets. Statistical skills: Solid understanding of hypothesis testing, regression, and experimental design. Programming: Skilled in Python or R for analysis and model building. Visualization: Able to build operational dashboards with Grafana, Tableau, Looker, or similar tools. Strategic communication: Can distill complex analytics into strategies leadership can act on. Bonus Experience Background in digital economy design, reward systems, or virtual marketplaces. Familiarity with Snowflake, ClickHouse, or event-driven architectures like Kafka. Experience applying clustering or recommendation models to user behavior data. Work history in high-frequency digital entertainment or consumer platforms. Location This role is based in Hong Kong.
About the Position Join Jane Street as a Data Engineer, where you will play a pivotal role in understanding, managing, and sharing the data that drives our trading strategies. At Jane Street, we believe that a deep and accurate grasp of data is fundamental to our success. In this role, you will leverage a combination of in-house and open-source tools to analyze diverse datasets from multiple sources. Your responsibilities will include identifying anomalies, standardizing formats and symbologies, automating ETL processes, and streamlining data access for our traders to derive meaningful insights. You should be passionate about diving into data, interpreting your findings, and collaborating effectively with traders and software engineers across the organization. While experience with financial data is a plus, we welcome talented engineers from all backgrounds and are willing to provide the necessary training.
Join our dynamic team at OKX as a Senior Data Engineer, where you will play a pivotal role in shaping our data infrastructure and enhancing our data-driven decision-making processes. We are looking for an innovative engineer who is passionate about building robust data pipelines and architectures to support our growing analytical needs.
Ekimetrics stands as a global leader in the realm of data science, boasting a dedicated team of over 400 data scientists and an impressive portfolio of more than 1,000 projects since our inception in 2006. With a robust international presence in major cities including Paris, London, New York, Hong Kong, and Shanghai, we spearhead initiatives across more than 50 countries, serving a diverse array of industries such as automotive, financial services, retail, telecommunications, and healthcare. Our mission is to empower organizations to harness their data potential, cultivate data capabilities, and implement actionable solutions that enhance marketing and operational performance, while rejuvenating business models. We prioritize delivering immediate business value while ensuring sustainable data assets for our clients. Our commitment to cutting-edge data science is matched by our dedication to fostering fair and responsible data and AI practices. Starting Date: January 2026 Key Responsibilities: As a Junior Consultant, you will engage in complex projects with prestigious international clients across various sectors, focusing on advanced data analytics and consulting. This includes direct client interactions and crafting tailored solutions to address their unique challenges. You will collaborate in teams of 3 to 6 consultants, managing 1 to 3 projects at a time. Your role will encompass involvement from initial discovery meetings through to final recommendations, which includes data gathering, analysis, statistical modeling, and translating quantitative insights into strategic proposals. We encourage creativity and innovative thinking while providing opportunities for you to take ownership of your projects. You will present your findings to C-suite executives, gaining exposure and building your expertise across various methodologies and industries. Our structured training program, along with coaching and mentoring from colleagues, will support your professional development. This role offers high visibility with our close-knit team, including the Managing Partner in APAC, who drives the growth of our operations in the region. Ultimately, you will contribute to a fast-growing entity while working for a leader in data analytics, having a meaningful impact on our ambitious initiatives.
Crypto seeks a Growth Data Analyst in Hong Kong to drive growth strategies through data analysis. This role centers on supporting marketing efforts with insights grounded in analytics, directly influencing decisions in the cryptocurrency industry. Key responsibilities Analyze data sets to identify trends and opportunities that support business growth Work closely with marketing teams to deliver actionable insights Recommend optimizations for campaigns based on data findings Contribute to company objectives within the rapidly changing crypto sector Location This position is based in Hong Kong, Hong Kong SAR.
About BitMEXBitMEX is a premier global exchange for cryptocurrency derivatives, providing traders with a professional-grade trading experience. Established in 2014, BitMEX has built an extraordinary reputation for security, proudly maintaining a record of 'no coin lost, ever!'.Our platform is tailored for cryptocurrency derivatives traders, featuring low latency, deep liquidity, and exceptional availability. BitMEX currently offers over 100 derivatives contracts along with 16 pairs for spot trading, and a seamless conversion option for more than 30 different cryptocurrencies.In 2015, BitMEX transformed the industry by introducing the Perpetual Swap, which has grown to become the most widely traded crypto product. Upholding a commitment to transparency, since 2021, BitMEX has been one of the pioneers in regularly publishing its on-chain Proof of Reserves and Proof of Liabilities, ensuring that available funds exceed total client balances.For further insights into BitMEX, our initiatives, and product offerings, please visit the BitMEX Blog or www.bitmex.com. You can also follow us on LinkedIn, Discord, Telegram, and X.Role OverviewAs a Growth Engineer, you will be responsible for the technical integrity of our analytics stack, ensuring high-fidelity data, robust tracking, and a precise product 'map'. You will play a pivotal role in converting 'digital exhaust' into organized, actionable insights. Your contributions will be critical to our operations and growth.
Role overview Capco is hiring a Data Scientist for its Hong Kong office, specializing in capital markets. This position focuses on applying advanced analytics and data science methods to help guide strategic decisions in the financial sector. What you will do Analyze complex data sets to identify trends and provide insights for capital markets clients Apply statistical and machine learning techniques to support investment strategies and improve operational processes Collaborate with cross-disciplinary teams to design and implement data-driven solutions About Capco Capco is a global consultancy dedicated to serving organizations in the financial services industry.