Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Application Timeline:

• Rolling applications, we review applications all year-round

Your future role within QRT

• Your core objective is to create high quality predictive signals.
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
• Share and discuss research results, methodology, data sets and processes with other researchers.
  
  

Your present skillset

• Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
• Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#).
• Experience in exploring large datasets across multiple time frames is a plus.

THE CONDITIONS FOR UNDERTAKING A V.I.E  

- Be aged at least 18 but not yet 29 : you must be 28 or below when you start your assignment, bearing in mind that a V.I.E contract always starts on the 1st of the month.

- Be French or a European citizen. 

- Be in good standing with regard to the national service obligations of your country(ies) (defence ID n°).

- Have a clean criminal record.

- Be able to devote yourself full time to your assignment : no part-time work, entrepreneurship, studies or paid activity at the same time as your V.I.E.

- Accept the letter of appointment that you sign with Business France which sets out your rights and your duties during your assignment.

To apply please submit your details below and on https://mon-vie-via.businessfrance.fr/

Programme duration: From 3-6 months, starting in 2026.  

Who qualifies: Penultimate or final year students completing a Bachelor's, Master's, PhD. 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.  

Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.   

We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program. 

Your future role at QRT   

Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact. 

As a Quantitative Research Intern, you could contribute to one of two complementary areas within one of QRT's systematic teams - spanning high, mid, and low-frequencies: 

Research 

Your core objective will be to develop high-quality predictive signals. You will leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities. Collaborating with fellow researchers to exchange ideas and refine methodologies. You will be trained to lead the full research cycle - from idea generation to implementation.  

Trading  

You will contribute to the live deployment of QRT’s research by working on the systematic trading platform itself. This involves monitoring signal behaviour, tracking performance, and improving execution efficiency, while also helping to identify and manage potential risks. Working closely with senior Researchers and Traders, you will focus on refining and scaling systematic processes, applying your quantitative and programming skills to ensure strategies perform optimally in production. 

We’re looking for interns who are curious, creative, and collaborative. If you’re passionate about learning, excited to take on challenges, and ready to make a real impact, you’ll find plenty of opportunities to grow with us. 

Your present skillset   

• Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering   

• High level of technical knowledge in statistics, machine learning, NLP or AI techniques is a plus   

• Coding skills required in at least one leading programming language (Python and C++ or C#)  

• Experience in exploring large datasets across multiple time frames is a plus  

• Capacity to multi-task in a fast-paced environment while keeping strong attention to detail   

• Ability to work autonomously, in a collegial and collaborative setting, and with colleagues from diverse backgrounds and areas of expertise.  

• Excellent communication skills  

• Fluent in English, any other language is a plus  

Interviewing:   

• Apply online: applications are evaluated on a rolling basis by a member of our Talent Acquisition team. This is a great opportunity to stand out, as we read every application carefully and look for specific, thoughtful answers that reflect your genuine interests.  

• Technical assessment - Selected candidates will be invited to complete a coding challenge designed to evaluate core technical and problem-solving skills.   

• Interviews - Shortlisted applicants will proceed to interviews conducted either on-site or via Microsoft Teams. These will assess both your technical expertise and your alignment with our culture and values.   

We encourage you to take part in one of our Data Challenges, which offer a valuable opportunity to engage with the types of problems encountered in the Quantitative Research role while showcasing your analytical and technical skills. Strong performance may lead to direct follow-up from our team, making it an excellent way to gain early visibility in the recruitment process: Challenge data (ens.fr)  

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

We are seeking a Software Engineer to join our HPC Research Infrastructure team, responsible for building and evolving an in-house research platform that underpins quantitative research across the firm. The platform provides scalable, secure, and efficient access to high-performance compute and data, enabling researchers to run large-scale, compute-intensive pipelines with minimal friction. 

In this role, you will design and implement core platform components including APIs, backend services, and tooling to support job submission, scheduling, resource management, security, and observability across heterogeneous compute environments (on-prem and/or cloud). You will operate at the intersection of software engineering, distributed systems, and infrastructure, helping to deliver a robust, developer-friendly platform that enables research at scale and has company-wide impact. 

Responsibilities

• Collaborate closely with quantitative researchers, platform engineers, and other cross-functional teams to understand research workflows and translate them into scalable, reliable platform capabilities 
• Design, build, and maintain distributed services and APIs that manage compute workloads, data access, and execution lifecycles across HPC environments 
• Improve the usability, reliability, and performance of large-scale quantitative research workflows, with a strong focus on developer experience and operational excellence 
• Contribute to the design and implementation of scheduling, security, and observability solutions suitable for highly parallel, compute-heavy systems 
• Work with state-of-the-art infrastructure and modern software engineering practices to support massive compute pipelines and rapidly evolving research demands 
• Take ownership of complex technical problems, operating with a high degree of autonomy while making pragmatic trade-offs to deliver impact quickly and safely 

Your Present Skillset 

• BSc / MEng / PhD in Computer Science or a closely related field, or equivalent practical experience, with 5+ years of professional software development 
• Strong proficiency in at least one statically-typed programming language (e.g. C, C++, Java, Rust), with an interest in Go (prior experience welcome but not required). Experience with Python is a plus 
• Required: 5+ years of experience designing, implementing, and operating large-scale distributed systems in production environments 
• Preferred: Prior experience in quantitative finance or working closely with quantitative researchers and data-intensive workloads 
• Preferred Understanding of GPU programming models and performance considerations (e.g. CUDA, memory hierarchies, parallel execution), with exposure to ML frameworks such as PyTorch or TensorFlow 
• Solid understanding of systems concepts such as concurrency, performance, fault tolerance, and reliability 
• Comfortable working in fast-moving, rapidly evolving environments; proactive in learning new technologies and improving existing systems 
• Pragmatic engineering mindset, with a focus on delivering high-impact solutions while maintaining long-term platform health 

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• Your core objective is to create high quality predictive signals
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities
• Share and discuss research results, methodology, data sets and processes with other researchers
• Implement the signals and the relevant datasets within the global execution platform
• Monitor signal behaviour and model performance over time
• You would lead the full strategy research cycle from signal generation to implementation

Your present skillset

• Direct experience as a quant researcher or trader, or in data science/machine learning space.
• Students and fresh graduate applicants will be rejected, please apply our internship/graduate positions instead.
• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail
• Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#)
• Experience in exploring large datasets across multiple time frames is a plus
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields
• Capacity to work with autonomy within a collegial and collaborative environment
• Strong capacity to communicate with technologists, data scientists and traders across the globe
• Proven track record in delivering successful systematic strategies

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance. 

About the Role/Team

We are seeking a highly experienced Luxury footwear Authentication Expert with strong analytical, investigative, and communication skills to elevate our authentication processes and training programs. If you're passionate about fashion and footwear, and thrive in a fast-paced environment, this could be the perfect role for you.

Your deep expertise in both physical and digital authentication will play a pivotal role in building and maintaining our internal knowledge systems, guiding our authentication team, and collaborating across departments to improve accuracy and consistency.

Reports to: Manager, footwear
Location: Remote - United States, Philippines, India, Hong Kong, Japan
Location Type: Remote

What you'll do

• Create, maintain, and improve knowledge and documentation on luxury footwear authentication.
• Develop training materials and train the global Authentication team for the brand support expansion.
• Deliver high-impact projects by taking full ownership, meeting deadlines, and ensuring quality at every step.
• Research and track industry knowledge, new releases, and trends in the resale and luxury footwear market, identify key attributes, and translate the knowledge or data to authenticators and the ML team to improve the accuracy and automation.
• Work with the Knowledge Analysts for cataloging, researching, tagging, and creating procedures for Entrupy’s proprietary datasets
• Monitor and analyze the accuracy of the results and knowledge adherence to identify the knowledge gap and improve the training materials.

What you bring

• 4+ years of experience creating knowledge materials to train the authentication team.
• Advanced subject matter expertise in luxury footwear, with a proven track record of authentication accuracy.
• Experience with both in-person and digital authentication is a significant plus.
• Understanding knowledge creation best practices (capture, authoring, and organization of information across multiple channels)
• Experience with scientific approaches to the classification of knowledge and systems
• Proven knowledge of taxonomy and data classification systems; comfort working with complex datasets and structured information.
• Proven skills and understanding of data organization and structuring
• Strong authoring and editorial skills: able to understand complex information and communicate said information (both written and spoken) to individuals with diverse professional backgrounds
• Self-starter, detail-oriented, and creative problem solver able to work with global teams and multiple deadlines
• Professional composure and interpersonal skills, while having a strong voice on the subject of Knowledge Management
• Passion for fashion, sustainability, and upholding standards of authenticity.

We have had an incredible run so far and laying the foundation for a culture that is fast-paced, entrepreneurial, and rooted in passion, kindness, and positivity. We live by these values – we hire by them, promote them, and celebrate them every day. 
Culturally, we operate with intelligence, respect, and curiosity, relentlessly pursuing ideas to improve our offering and execute our mission and a desire to solve impactful challenges.

If you want to be a member of our team that is building the infrastructural foundations for data aggregation and insights at Entrupy, we’d love to connect!

Role Overview

Interactive Brokers seeks an FIU Analyst who is hard-working, detail-oriented, careful and a problem solver. This Analyst will assist in reviewing and analyzing the firm's customers' cashiering activities per the firm's AML/CTF policy. This role requires high energy and learning new skills in a dynamic environment.

Responsibilities

The role has regional responsibility and will involve:

• Assist in the monitoring and surveillance of cashiering transactions by IBKR clients in the Asia Pacific region
• Communicate with clients on monitoring and surveillance-related matters.
• Reviewing and providing suggestions to enhance existing surveillance systems/reports.
• Manage projects to build and implement approved enhancements and changes required due to regulatory changes. 
• Staying up to date with changes in market conduct, AML and other related regulations,
• Staying up to date with APAC and international developments in relevant areas of regulations and law.

Required Qualifications and Skills:

• Familiarity with AML/CTF Rules. 
• Experience in dealing with exchange and regulatory enquiries.
• Fluency in English (both written and spoken) is essential.
• Good communication skills and customer service experience would be advantageous.
• Good quantitative, analytical, and problem-solving skills
• Solid academic background with relevant qualifications
• Knowledge on AI/Machine Learning would be advantageous
• Have a "can do" attitude and willingness to learn.
• Good organizational skills with the ability to multi-task, prioritize and work with minimal supervision
• A high degree of comfort and fluency with computers and technology and an understanding of how technology is applied to business and regulatory problems or an ability to develop this rapidly

Company Benefits & Perks

• Competitive Salary, annual performance-based bonus and stock grant
• Excellent health and welfare benefits including medical, dental, specialist and in-patient  
• Competitive package of Annual Leave
• Daily lunch ordered in house with fully stocked kitchen
• Great work life balance
• Unique opportunity to gain exposure to global financial products, markets and clientele
• Opportunities for career progression and job scope expansion in a global company with growing local presence
• Hybrid work arrangement role permitting

• Research time-series methods, advanced statistical techniques, and machine learning models to extract predictive value from complex datasets.
• Analyze large, noisy, real-world data sets to identify systematic trading opportunities.
• Help develop statistical and ML-based tools and techniques to solve complex data-related problems throughout the research process.

• Your primary focus throughout the day will be on researching new statistical techniques, exploring datasets, and prototyping signal variants.
• Apply critical thinking at every step—rigorously backtesting ideas, diagnosing overfitting, and questioning your own assumptions.
• Discuss and present research results with your immediate team, portfolio managers, and senior management, actively incorporating their feedback.
• Document your work cleanly and clearly so colleagues can easily build upon your findings.

• Quantitative Background: Pursuing a Bachelor's, Master's, or PhD in computer science, statistics, machine learning, signal processing, optimization, mathematics, physics, or a related STEM subject.
• Research Excellence: Demonstrated ability to conduct high-quality, in-depth, and rigorous research on real-world data, along with the ability to communicate complex results clearly to both technical peers and senior stakeholders.
• Programming Proficiency: Strong proficiency in Python, with a solid understanding of data structures, algorithmic complexity, and numerical libraries (e.g., pandas, numpy).
• Statistical & ML Knowledge: Strong grasp of probability, statistics, linear algebra, time-series analysis, and machine learning, including the practical ability to recognize and mitigate overfitting.
• Team Player: Strong communication skills with the ability to work well in a collaborative, high-pace setting, driving projects to completion across accelerated timelines and coordinating with colleagues across multiple regions.

• Prior internship in quantitative research or systematic investing.
• Hands-on experience working with noisy, large-scale financial or alternative datasets.

How to Apply
Apply online with your CV and a short cover note. In your cover note, describe one real research or engineering problem you worked on: what you tried, what worked, what didn't, and what you would do differently.

Location: Hong Kong
Type: Full-Time

The Role

As Nex’s Senior Embedded Software / AOSP Engineer, you bring Nex Playground to life. Your OS and firmware run on millions of devices, turning family living rooms into playgrounds where body motion, software, and on-device AI come together as one experience. You will lead the bringup of new platforms and hardware, and craft the HAL and framework layers that fuse our games, system maps, peripherals, and CV/ML pipelines with the silicon beneath.

You will architect the OS and own the full stack — SoC, GPU, NPU, Camera, ISP, WiFi, Bluetooth, HDMI, and power — squeezing best-in-class performance out of consumer-grade hardware. You will champion stability and security end-to-end, from a hardened boot chain to deep-stack profiling and disciplined root-cause analysis of field issues. As a technical anchor for the platform, you will help shape Nex’s hardware roadmap and the future products that millions will play on next. You’ll report to the Director of Hardware Engineering.

The Mindset

You build technology that improves people’s lives — especially where the physical and digital worlds meet. You live at the boundary of software and hardware, with deep instincts for how systems behave from the boot loader up. You chase root causes, not symptoms, and take pride in products that hold up at scale. You raise the bar for the systems and the people around you.

What You’ll Do

• Bring up new platforms and hardware, and optimize Playground’s AOSP-based OS across SoC, GPU, NPU, Camera, ISP, WiFi, Bluetooth, HDMI, and power for best-in-class performance.
• Design and implement system APIs, HAL, and framework layers in close partnership with the app, game, and CV/ML teams.
• Tune state-of-the-art image processing, CV, and ML pipelines to run efficiently on-device.
• Own system security end-to-end — harden the boot and verification chain, manage keys, and keep security patches current.
• Profile and debug deep into the stack with tools like perfetto, systrace, tcpdump, and Arm Mobile Studio, and drive field issues to root cause.
• Partner with SoC vendors and ODM / JDM partners on BSP drops, escalations, and silicon-level issues.
• Support manufacturing and factory operations — device provisioning, calibration data, key storage, and factory test images.

Must Have

• 5+ years building embedded system software.
• Hands-on experience across multiple AOSP versions, including BSP and SoC bringup.
• Working knowledge of the AOSP build system and release tooling.
• Track record shipping massively deployed embedded products.
• Deep knowledge of Android and Linux internals — kernel, device drivers, HAL, multi-processing, SELinux, verified boot, and performance optimization.
• Proficiency in low-level system debugging.
• Proficiency in C, C++, and Python.
• Good English communication.

Nice to Have

• Experience with TV, set-top-box, video conferencing, or gaming platforms.
• Domain knowledge of cameras, ISPs, and image processing pipelines.
• Domain knowledge of NPUs and deploying ML at the edge.
• Domain knowledge of Arm Cortex CPUs and Mali GPUs.
• Depth in the connectivity stack — WiFi supplicant, Bluetooth, and HID / controller pairing for peripherals.
• Hands-on experience with SoC vendor platforms such as Amlogic, Rockchip, MediaTek, or Qualcomm.
• Open-source contributions to the Linux kernel, AOSP, or related projects.

#LI-Onsite

Location: Hong Kong

Benefits: 

• Competitive compensation, relocation and perks
• Travel to Sydney for a comprehensive 5-week training program with partnering HFT firm VivCourt
• Work with experienced traders in an exciting and growing industry

We are seeking highly motivated Graduate Traders to join our dynamic team. This role is perfect for someone who is passionate about cryptocurrency markets, eager to learn and thrives in a fast-paced, ever-changing environment. As a Graduate Trader with us, you can contribute to a company that is shaping the future of finance.

We are Auros!

You’ll be joining one of the largest participants in the cryptocurrency market. We trade digital assets across 10+ global locations, generating a daily notional turnover in the billions of dollars, through connectivity to over 50 venues, supported by a growing team of world-class talent. 

We’re proud of the strong reputation we’ve built by combining our systematic approach, sophisticated pricing models, and state-of-the-art execution capabilities to provide robust, reliable trading performance and bring liquidity to crypto markets worldwide. 

What sets us apart, though, is our culture. Forget grunt work! From day one, you’ll be given the right support and autonomy to start making a tangible impact. We’re committed to excellence and have a "do your best and leave no regrets" attitude. From the outset, you’ll be encouraged to contribute your ideas, take on responsibility, and find your niche for delivering results. Our flat structure means you’ll have direct access to leadership, and learn from some of the best traders in the business.  

We believe that work should be as fun as it is rewarding, so we organise regular offsite events and social initiatives and offer great perks to make work even more enjoyable. 

What you’ll do

Reporting to a senior trader, you’ll gain exposure to front, middle and back office functions so you can understand the end-to-end flow of the trading function. The right candidate will aspire to develop into a Senior Trader and manage his/her book.

Key responsibilities:

• Participate in the research and development of new trading strategies
• Engage in quantitative analytical work to support the improvement of our existing trading strategies
• Participate in idea generation, trading strategy formulation, back-testing and implementation
• Monitor and analyse the operation of live trading strategies
• Liaise with our key exchange counterparts on margin requirements, coin borrows, trade breaks, market-making requirements
• Work closely with our trading, middle office and finance teams to ensure trades are booked timely and correctly, reconciled between our front and back office systems
• Investigate crypto-currency market-related products, collect, organize and analyse the best solutions to match the requirements of our various trading strategies

Skills required:

• No experience in trading or crypto is required, but passion, drive, and interest in the industry is a must.
• A Bachelor's degree in Science, Technology, Maths, Engineering or a minor in any quantitative-related degree  
• Experience using Python/C++, in combination with a variety of other data manipulation technologies, including Excel.
• Knowledge and experience in mathematical modelling of big data, data mining and machine learning is a plus.
• Excellent communication and teamwork skills.
• Self-starter with a high level of initiative and a strong drive to succeed.
• Ability to adapt to new challenges and thrive in a fast-paced environment.

What you’ll get in return:

• Competitive compensation package
• Relocation package (flights and initial accommodation)
• 5 week training programme with Vivcourt trading in their state-of-the-art Sydney office. 
• Opportunity to work in Hong Kong's vibrant financial centre and contribute to a company that is shaping the future of finance.
• Professional yet casual work environment – newly renovated office including a kitchen stocked with snacks, and pool table.
• Weekly massages and other perks.

If you’re excited about the opportunity to work in a dynamic, innovative, and fun environment, we’d love to hear from you. Apply now!

FULL TIME MARKETING EXECUTIVE (HONG KONG)

JOB DESCRIPTIONS:

Skin Laundry is seeking a detailed and creative Marketing Executive to join the Marketing team based in Hong Kong. The ideal candidate will have a strong background and passion in Brand Marketing and produce work across a variety of channels, ensure brand integrity and thrive in a start-up like environment.

What your role will entitle: This is not an exhaustive list of responsibilities but is a representation of the wide range of responsibilities.

• Report to Marketing team based in US on implementing effective marketing plans and assist in ideas generation planning and executing various marketing activities, including advertisement, sales promotion, partnerships and campaigns.
• Work closely with the Hong Kong Regional Manager, various internal and external team members to help execute brand vision with localization.
• Contribute to the creative development of a wide range of marketing materials such as websites, print/digital collateral, advertisement and other marketing-related projects.
• Manage digital marketing initiative with content management: website, social media and external agencies supporting business growth and retail operations.
• Develop ideas and produce materials and content copy for Campaigns, social media Post, and other platforms in communication.
• Analyze business trends and consumer insights to ensure that all marketing programs are in line with business needs.

REQUIREMENTS:

• 2-3 years relevant experience in Brand Marketing. Experience in Beauty, Skin Care or related industries is a plus
• High Diploma or above, preferably major in marketing or other related disciplines
• Proven record on effective marketing campaigns both online and offline
• Fluent in both written and spoken English and Chinese is a must, with Strong in English and TC Chinese copywriting and translation / localization skills.
• Strong in communication, detailed-minded, highly motivated, good time management, and work independently and willing to work under pressure and be a good team player with a positive attitude.
• Experienced in with social media management
• Be up-to-date on digital and social trends, best practices, competitor learning

WAYS WE GIVE BACK TO YOU:

We are committed to your growth

You are our priority. Skin Laundry has a team of individuals who are responsible for building out a roadmap that makes your success and development guaranteed - as long as you are willing to put in the work.

Work/Life Harmony

We believe that all our team members should be cared for as a HUMAN first and foremost. We have an extensive Holiday Policy and are working relentlessly to release new initiatives that support your mental health in and out of work.

You will be led, not managed

The days of being managed are over. We believe that success comes from working alongside a People Leader who is there to support and uplift - not criticize and over-look.

Speak Up Culture

Let’s face it - suffering in silence should no longer be the norm. At Skin Laundry your voice is not only heard, but VITAL to the health of the organization. You have a safe space to speak up, give feedback, and share your needs.

We don’t hire jerks

It’s as simple as that. We are a group of humble, kind, and self-aware individuals - there is no room for bullying, gossip, racism, or any other kind of discrimination or intolerance here.

COMPANY OVERVIEW:

Skin Laundry is revolutionizing the way people of all skin types care for their skin by making cutting edge laser technology safe, effective, and affordable. Our team is committed to helping you achieve your most healthy skin with our skin specialists that are highly trained on Skin Laundry laser treatments and products, and overseen by a team of Medical Advisers.

Skin Laundry is growing and experiencing success in developing products, opening new locations and creating the ultimate experience for our clients! Our goal is to help everyone feel beautiful in their own skin. We do this by offering treatments that provide real results with no downtime. If you are eager to join an innovative company, want to be a valuable part of a team and brand innovating beauty and skincare, we want to hear from you!

Skin Laundry Company Culture Highlights

• Skin Laundry is ranked in the top 5% of companies for Team Score on Comparably.
• Skin Laundry is ranked in the top 5% of companies for Leadership on Comparably.
• Sales Department is ranked in the top 5% of companies for CEO Rating on Comparably.
• The Sales Department is ranked in the top 5% of companies for Executive Team Score on Comparably.

Skin Laundry offers attractive remuneration packages including paid annual leave & birthday leave, medical coverage, free goods & treatment, MPF benefit scheme to the right candidates. Interested parties, please apply with a detailed resume stating expected salary and availability by clicking APPLY NOW.

About the Position

We are looking for Quantitative Researchers to help us build models, strategies and systems that price and trade financial instruments. You'll apply your experience in experiment design, dataset generation, time series analysis, feature engineering and model building to financial datasets, while collaborating with colleagues who will challenge and refine your approach.

At Jane Street, our researchers, engineers and traders sit a few feet away from each other and work together to train models, architect systems and run trading strategies. We work with petabytes of data and a growing GPU cluster containing tens of thousands of high-end GPUs. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance or studying how our model likes to trade in production.

We don’t believe in “one-size-fits-all” modelling solutions; we are open to and excited about applying all different types of statistical and machine learning techniques, from linear models to deep learning, depending on what best fits a given problem. The most successful researchers will be driven by a curiosity for how their contributions fit into the larger picture of our trading operations, and how to adapt their findings into actionable strategies.

About You

If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right in. You should be:

• Able to apply logical and mathematical thinking to all kinds of problems
• Intellectually curious; eager to ask questions, admit mistakes and learn new things
• A strong programmer who’s comfortable with Python
• An open-minded thinker and precise communicator who enjoys collaborating with colleagues from a wide range of backgrounds and areas of expertise
• Fluent in English

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

About the Position

Our goals are to give you a real sense of what it’s like to work as a Quantitative Researcher at Jane Street, and a truly unparalleled educational experience. You’ll work side by side with our experienced Quantitative Researchers to learn how we identify market signals, analyze large datasets, build and test models, and create new trading strategies.

At Jane Street, the lines between research, technology, and trading are intentionally blurry. As our strategies grow more sophisticated, close collaboration is essential for continuing to push the boundaries of what’s possible. We work with petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing tens of thousands of high-end GPUs. We don’t believe in “one-size-fits-all” modeling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem.

You’ll spend the bulk of your internship working closely with full-time researchers on projects drawn from their own work. You’ll gain a better understanding of the diverse array of challenges we consider every day, learning how we think about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets. Your day-to-day project work will be complemented by classes on the broader fundamentals of markets and trading, lunch seminars, and activities designed to help you understand the entire process of creating a new trading strategy, from initial exploration to finding and productionizing a signal.

About You

If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. Most candidates will have experience with data science or machine learning, but ultimately, we’re more interested in how you think and learn, than what you currently know. You should be:

• Able to apply logical and mathematical thinking to all kinds of problems
• Intellectually curious; eager to ask questions, admit mistakes, and learn new things 
• A strong programmer who’s comfortable with Python
• An open-minded thinker and precise communicator who enjoys collaborating with colleagues from a wide range of backgrounds and areas of expertise
• Fluent in English

Most interns are current undergraduate or graduate students, but we also welcome applicants who have already graduated and are considering a new career in finance. Research experience is a plus.

If you’d like to learn more, you can read about our interview process and meet some of the team. Learn more about Jane Street’s internship program here.

Please note: Jane Street will provide flights to and from Hong Kong as well as accommodation throughout the entirety of the program.

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

About the Position

We are looking for Quantitative Researchers to help us build models, strategies, and systems that price and trade financial instruments. You’ll work side by side with experienced researchers who are committed to teaching, guiding, and supporting our newest hires, learning how we think about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets.

At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and work together to train models, architect systems, and run trading strategies. We work with petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing thousands of high-end GPUs. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance, or studying how our model likes to trade in production.

We don’t believe in “one-size-fits-all” modeling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem. The most successful researchers will be driven by a curiosity for how their contributions fit into the larger picture of our trading operations, and how to adapt their findings into actionable strategies.

About You

If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right in. You should be:

• Able to apply logical and mathematical thinking to all kinds of problems
• Intellectually curious; eager to ask questions, admit mistakes, and learn new things 
• A strong programmer who’s comfortable with Python
• An open-minded thinker and precise communicator who enjoys collaborating with colleagues from a wide range of backgrounds and areas of expertise
• Fluent in English

Most candidates will have experience with data science or machine learning, but ultimately, we’re more interested in how you think and learn, than what you currently know. PhD or other research experience is a plus.

If you’d like to learn more, you can read about our interview process and meet some of the team.

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

About the position

Our goals are to give you a real sense of what it’s like to work as a quantitative trader at Jane Street, and a truly unparalleled educational experience. You’ll be paired with experienced quantitative traders who will teach you how to identify market signals, analyze and execute strategies, construct quantitative models, conduct statistical analysis, and build trading intuition. 

You'll work closely with two different mentors on projects relating to their day-to-day work, giving you a sense of the variety of problems we solve every day. Past projects have included analyzing new or existing datasets, training predictive models, simulating potential new trading strategies, writing tools that we use in production, and even working to answer big-picture questions we haven’t yet figured out.

This work is reinforced with intensive classes, workshops, and team-based mock trading sessions. These will expose you to many of the dynamics we observe in real markets, illustrate the role that we play in making markets more efficient, and help build intuition for how we think about both trading and collaborating.

At Jane Street, the lines between research, technology, and trading are intentionally blurry. As our strategies grow more sophisticated, close collaboration is essential for continuing to push the boundaries of what’s possible. We work with petabytes of data, have a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing thousands of high-end GPUs. We don’t believe in “one-size-fits-all” modeling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem.

Quantitative trading interns also have the opportunity to participate in one “elective” based on your interests. Electives consist of targeted classes and immersive activities, and are designed to give you a deeper and more nuanced look into one of the many aspects of what quantitative trading can look like at Jane Street:

Machine Learning, Modeling, and Data Science

You'll learn how Jane Street applies advanced machine learning and statistical techniques to make models and predictions using large datasets of both real and simulated market data. You'll learn how to train and use a variety of ML models, and gain an understanding of the differences between textbook machine learning and its application to noisy and complex financial data. 

Algorithmic Trading and Market Microstructure

You'll learn the end-to-end process of developing an algorithmic trading strategy. You'll analyze market data to develop a tradable fair value and implement a trading strategy in Python. Your algorithmic strategy will connect directly to simulated markets with different market structures, and you will learn how to optimize your strategy given the unique attributes of each market. You will discover how various market dynamics affect strategy behavior and learn how real-world trading differs from simulation.

Trading Strategy and Scenarios

You’ll be introduced to a rotating set of new trading scenarios inspired by real events on a particular trading desk. You’ll work in teams on multiple mock trading sessions related to each scenario and use the time between sessions to refine your strategies, write recaps, and hear how the story played out in real life from our seasoned full-time traders who lived through it.

About you

If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. If you have a curious mind, a collaborative spirit, and a passion for solving interesting problems, we have a feeling you’ll fit right in. We’re more interested in how you think and learn than what you currently know. You should be:

• A strong quantitative thinker (no specific degree or major is required)
• A clear and effective verbal and written communicator
• Someone who enjoys working collaboratively on a team
• Eager to ask questions, admit mistakes, and learn new things
• Fluent in English

A profitable trading strategy is only as strong as the technology it runs on, and we consider ourselves as much a technology company as a trading firm. General programming experience is a plus, but knowing a particular programming language is not required.

If you’d like to learn more, you can read about our interview process and meet some of the team. Learn more about Jane Street’s internship program here.

About the Position

At Jane Street, quantitative traders identify market signals, analyze and execute strategies, construct quantitative models, conduct statistical analyses, build algorithmic trading systems, manage risk, develop new businesses, and more.

Our trading desks are central to our collaborative and cooperative office environment. You can expect to work side by side with experienced traders who are committed to teaching, guiding, and supporting our newest hires. Through hands-on, interactive training, you’ll acquire significant trading responsibilities within weeks to months of being on the desk. In parallel, you will participate in our robust year-long firmwide educational curriculum.

At Jane Street, the lines between research, technology, and trading are intentionally blurry. As our strategies grow more sophisticated, close collaboration is essential for allowing us to continue pushing the boundaries of what’s possible. We work with petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing thousands of high-end GPUs. We don’t believe in “one-size-fits-all” modeling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem.

About You

If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. We’re looking for smart people who enjoy solving interesting problems, and we’re more interested in how you think and learn than what you currently know. You should be:

• A critical thinker with a strong quantitative mind
• A collaborative problem-solver who enjoys working on a team
• Proactive, reliable, and courteous with strong organizational and communication skills
• Eager to ask questions, admit mistakes, and learn new things
• Fluent in English

A profitable trading strategy is only as strong as the technology it runs on, and we consider ourselves as much a technology company as a trading firm. General programming experience is a plus, but knowing a particular programming language is not required.

If you’d like to learn more, you can read about our interview process and meet some of the team.

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

About the Position

We are looking for a Senior Network Engineer who can help us scale our networks to meet increasing business demands, drive standardisation through automation and look for opportunities to leverage AI to improve operations.

Jane Street’s numerous distributed systems run on a multi-vendor, highly available network infrastructure and handle a variety of traffic profiles – from high-speed trading to everyday internet connectivity. A typical day on the Network Engineering team includes:

• Collaborating on new data centre and colocation initiatives, WAN routing optimisation and other cross-team design projects
• Interfacing with stakeholders to assess business needs and develop innovative network features/capabilities
• Leading both reactive support tasks and proactive infrastructure improvements, focusing on thorough documentation to reduce outages and enhance troubleshooting
• Exploring AI/ML-driven enhancements to streamline operations and continuously improve service quality Using your networking expertise to help us scale our team’s infrastructure at large while maintaining high standards for network performance and reliability
• Documenting solutions and processes that help the team work more efficiently, using a meticulous attention to detail

If you have a passion for innovating within a complex network ecosystem, enjoy building scalable systems and documentation structures and are curious about how AI can refine network operations, this role provides a platform to make a significant impact at Jane Street. We look forward to learning from your expertise and unique perspective.

About You

• Have 7+ years of experience operating and deploying network infrastructure, with 3+ years dedicated to ground-up network design
• Have deep experience with routing and network protocols (OSPF, BGP, PIM-SM) and the troubleshooting of transport protocols (TCP/UDP)
• Comfortable operating in Linux environments and proficient in at least one programming language
• Strongly inclined to automate workflows and explore AI/ML approaches to improve efficiency or reduce overhead
• Eager to produce comprehensive, scalable documentation that benefits the entire team
• Have a demonstrated ability to balance multiple priorities, switch contexts effectively and maintain a high level of customer service
• Excellent collaborator and communicator; ready to build strong partnerships with diverse global teams and stakeholders to share your recommendations, issues and outcomes 
• Have a flexible, reliable mindset and enthusiasm for sharing knowledge with peers
• Any prior exposure to overlay networks (EVPN, VXLAN) is a plus
• Fluency in English required

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

About the Position

We're always hiring software engineers for all of our offices. Technology is at the core of how we approach our work, and engineers are intimately involved in every area of the business. 

We are big believers in functional programming and use OCaml, a statically typed functional programming language, as our primary tool. More recently, Python has become a vital part of Jane Street’s research and trading work, acting as the go-to language for data analysis, visualization, and machine learning.

We also believe in the value of open source software, using it in our daily work and releasing over a million lines of our own code as open source.

About You

• Top-notch programming skills
• Deep experience with—and love for—technology. There's no specific checklist; we use software to approach a variety of problems, so we're interested in everything from machine learning to systems administration to programming language design
• Strong interpersonal skills. Software engineering at Jane Street is highly collaborative, and we are looking for people who can work effectively in small, close-knit teams
• We don’t expect you to have experience with functional programming, OCaml, Python, or finance; we’re happy to hire talented engineers and teach them what they need to know.
• Fluent in English

If you'd like to get an idea of what we cover in our software engineering interview process, you can visit our interview prep page.

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

About the Position

We’re looking for Software Engineers who want to help us design and build the systems and tools that run the firm. You’ll find Software Engineers in all parts of Jane Street, solving real problems in critical areas ranging from trading desks to our accounting team, as well as building foundational infrastructure, whether that means implementing network monitoring or risk models. 

We are big believers in functional programming and, using OCaml, a statically -typed functional programming language, as our primary tool. More recently, Python has become a vital part of Jane Street’s research and trading work, acting as the go-to language for data analysis, visualization, and machine learning. 

Beyond our own environment, we also recognize the value of open source software, leveraging it in our daily work and releasing over a million lines of our own code as open source. We’re also always looking for ways to expand open source projects, and provide ongoing support to things like Mercurial, the OCaml compiler, and the OPAM package manager. That said, we’re interested in talented engineers with experience in any language—most of us came in with little to no practical experience in OCaml before we joined.

If you’d like to learn more, you can read about our interview process and meet some of our newest hires.

About You

We don’t expect you to have a background in functional programming, OCaml, Python, finance, or any other specific field—we’re looking for smart programmers who enjoy solving interesting problems. We’re more interested in how you think and learn than what you currently know. You should be:

• A top-notch programmer with a love for technology
• Intellectually curious, collaborative, and eager to learn
• Humble and unafraid to ask questions and admit mistakes
• Fluent in English

If you'd like to get an idea of what we cover in our software engineering interview process, you can visit our interview prep page.

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform.

Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction. Our ML team is full of people with a shared love for the craft of software engineering, and for designing APIs and systems that are delightful to use. 

We’ll rely on your in-depth knowledge of the ML ecosystem and understanding of varying approaches — whether it’s neural networks, random forests, gradient-boosted trees or sophisticated ensemble methods — to aid decision-making so we apply the right tool for the problem at hand. Your work will also focus on enhancing research workflows to tighten our feedback cycles. Successful ML engineers will be able to understand the mechanics behind various modelling techniques, while also being able to break down the mathematics behind them.

If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. While there isn’t a fixed list of qualifications we’re looking for, if you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right in. 

We're looking for someone with:

• Experience building and maintaining training and inference infrastructure, with an understanding of what it takes to move from concept to production
• A strong mathematical background; Good candidates will be excited about things like optimisation theory, regularisation techniques, linear algebra and the like
• A passion for keeping up with the state of the art, whether that means diving into academic papers, experimenting with the latest hardware or reading the source of a new machine learning package
• A proven ability to create and maintain an organised research codebase that produces robust, reproducible results while maintaining ease of use
• Expertise wrangling an ML framework – we're fans of PyTorch, but we'd also love to learn what you know about Jax, TensorFlow or others
• An inventive approach and the willingness to ask hard questions about whether we're taking the right approaches and using the right tools
• Fluent in English

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

We are looking for an engineer with experience in low-level systems programming and optimisation to join our growing ML team. 

Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction.

Your part here is optimising the performance of our models – both training and inference. We care about efficient large-scale training, low-latency inference in real-time systems and high-throughput inference in research. Part of this is improving straightforward CUDA, but the interesting part needs a whole-systems approach, including storage systems, networking and host- and GPU-level considerations. Zooming in, we also want to ensure our platform makes sense even at the lowest level – is all that throughput actually goodput? Does loading that vector from the L2 cache really take that long?

If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right in. 

There’s no fixed set of skills, but here are some of the things we’re looking for:

• An understanding of modern ML techniques and toolsets
• The experience and systems knowledge required to debug a training run’s performance end to end
• Low-level GPU knowledge of PTX, SASS, warps, cooperative groups, Tensor Cores and the memory hierarchy
• Debugging and optimisation experience using tools like CUDA GDB, NSight Systems, NSight Computesight-systems and nsight-compute
• Library knowledge of Triton, CUTLASS, CUB, Thrust, cuDNN and cuBLAS
• Intuition about the latency and throughput characteristics of CUDA graph launch, tensor core arithmetic, warp-level synchronization and asynchronous memory loads
• Background in Infiniband, RoCE, GPUDirect, PXN, rail optimisation and NVLink, and how to use these networking technologies to link up GPU clusters
• An understanding of the collective algorithms supporting distributed GPU training in NCCL or MPI
• An inventive approach and the willingness to ask hard questions about whether we're taking the right approaches and using the right tools
• Fluent in English

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

About the position

We’re looking for smart and curious individuals from industry and academia to join our growing team and drive our ML work.

On our Machine Learning team, you'll build the deep learning models that power our trading strategies, supported by our rapidly growing computing cluster with tens of thousands of high-end GPUs. Trading poses unusual challenges— large models and nonstationary datasets in a competitive multi-agent environment—that force us to search for novel techniques. 

Researchers, engineers and traders sit a few feet away from each other and work together to train models, architect systems and run trading strategies. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance or studying how our model likes to trade in production.

We’ll rely on your in-depth knowledge of the machine learning landscape and understanding of a variety of approaches—drawn from LLMs, image models, RL agents, recommendation systems or classical ML methods—to shape the future of ML at Jane Street. You’ll train models for the next generation of our deep learning-based trading strategies, and build the fundamental understanding we need to tackle new markets and situations. You’ll also be hiring new colleagues, attending conferences and teaching techniques to teammates—all of which we consider to be real and impactful parts of the job.

About you

If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right in. There’s no fixed set of skills we are looking for, but you should bring:

• Practical experience working on empirical ML problems
• The ability to apply logical and mathematical thinking to all kinds of problems
• Intellectual curiosity and excitement about state-of-the-art research across many ML problem domains
• Fluency with a versatile set of models and tricks 
• The hands-on coding skills needed to rapidly implement and iterate on your ideas, in Python and your favourite ML framework
• An eagerness to ask questions, admit mistakes  and learn new things
• Fluency in English required

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

About the Position

Our goals are to give you a real sense of what it’s like to work at Jane Street full time as a Machine Learning Researcher, and a truly unparalleled educational experience. You’ll work side by side with experienced ML Researchers on projects that we’ve selected for their combination of novel ML ideas and relevance to real-world systematic trading strategies. You'll learn how we think about markets through challenging classes and activities, and practice using established methods alongside our own unique twists to train practical models. 

At Jane Street, the lines between research, technology, and trading are intentionally blurry. As our strategies grow more sophisticated, close collaboration is essential for continuing to push the boundaries of what’s possible. We work with petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing tens of thousands of high-end GPUs. Trading poses unusual challenges—large models and nonstationary datasets in a competitive multi-agent environment—that force us to search for novel techniques.

You’ll spend the bulk of your internship working closely on projects with experienced ML Researchers at Jane Street. You might conduct an end-to-end study of an unexplored dataset, try a new modeling paradigm for a thorny problem, or consider blue-sky approaches that we’re still trying to figure out. The problems we work on rarely have clean, definitive answers, and they often require insights from colleagues across the firm with different areas of expertise. Depending on the day, you might be diving deep into market data, tuning hyperparameters, debugging training issues, or analyzing the predictions your model makes.

Note that given the IP-sensitive nature of machine learning research at Jane Street, it is unlikely that any research findings associated with the internship will be suitable for outside academic publication.

About You

If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right in. You should be:

• A PhD student or postdoc working on empirical ML research problems, or someone with equivalent research experience 
• Interested in applying logical and mathematical thinking to all kinds of problems
• Curious about the machine learning landscape and excited to apply state-of-the-art techniques drawn from many problem domains
• Fluent with a versatile set of models and tricks 
• Able to rapidly implement and iterate on your ideas in Python and your favorite ML framework
• Eager to ask questions, admit mistakes, and learn new things
• Fluent in English

If you’d like to learn more, you can read about our interview process and meet some of the team. Learn more about Jane Street’s internship program here.

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com

About the Position

We’re looking for smart and curious individuals to join our growing team and drive our ML work.

On our Machine Learning team, you'll build the deep learning models that power our trading strategies, supported by our rapidly growing computing cluster with tens of thousands of high-end GPUs. Trading poses unusual challenges— large models and nonstationary datasets in a competitive multi-agent environment—that force us to search for novel techniques. 

At Jane Street, our researchers, engineers and traders sit a few feet away from each other and work together to train models, architect systems and run trading strategies. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance or studying how our model likes to trade in production.

We’ll rely on your in-depth knowledge of the machine learning landscape and understanding of a variety of approaches—drawn from LLMs, image models, RL agents, recommendation systems or classical ML methods—to shape the future of ML at Jane Street. You’ll train models for the next generation of our deep learning-based trading strategies, and build the fundamental understanding we need to tackle new markets and situations. You’ll also be hiring new colleagues, attending conferences and teaching techniques to teammates—all of which we consider to be real and impactful parts of the job.

About You

If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right in. There’s no fixed set of skills we are looking for, but you should bring:

• Practical experience working on empirical ML problems
• The ability to apply logical and mathematical thinking to all kinds of problems
• Intellectual curiosity and excitement about state-of-the-art research across many ML problem domains
• Fluency with a versatile set of models and tricks 
• The hands-on coding skills needed to rapidly implement and iterate on your ideas, in Python and your favourite ML framework
• An eagerness to ask questions, admit mistakes  and learn new things
• Fluency in English

If you’d like to learn more, you can read about our interview process and meet some of the team.

Who We Are

Who We Are

The Role

We are seeking a talented and motivated Quantitative Researcher to join our dynamic systematic trading team. The ideal candidate will have a strong background in software development, a passion for technology, and a keen interest in the financial industry. You will work closely with our quantitative PMs, developers, and fellow researchers to develop and maintain high-performance trading systems and tools.

Key Responsibilities 

1. Engineer predictive features from high-frequency market data and unstructured alternative datasets for machine learning (ML) models. 
2. Develop research pipelines on a distributed compute cluster for tree-based models, deep learning, NLP/LLM, and related ML models. 
3. Design and prototype ML-driven alphas for cash equities, futures, and other liquid asset classes. 
4. Collaborate with researchers and developers to deploy signals into production, and perform iterative improvements based on real performance. 
5. Track academic and industry advances in machine learning and present actionable ideas to the team. 

Required Skills & Qualifications

1. MS or PhD in computer science, statistics, mathematics, or a related quantitative discipline from a top-tier university. 
2. Minimum 5 years of alpha-research experience at a leading buy-side firm or global bank. 
3. Expertise in tree-based models, deep learning, and NLP/LLM with strong understanding of probability and overfitting-control practices. 
4. Proficiency in python (and preferably C++ or similar), coupled with experience on distributed/hybrid compute environments. 
5. Excellent analytical, verbal, and written communication skills, with a proactive, ownership-driven mindset suited to the fast-paced trading floor.

Who We Are 

Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture

At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

The Role

We are seeking a talented and motivated Quantitative Developer to join our dynamic systematic trading team. The ideal candidate will have a strong background in software development, a passion for technology, and a keen interest in the financial industry. You will work closely with our quantitative researchers and fellow engineers to develop and maintain high-performance trading systems and tools.                                                           

What you’ll do 

- Design, develop, and maintain high-performance applications, including market data, order management systems, and trading systems.
- Optimize and enhance existing software to improve performance and scalability.
- Ensure the reliability and robustness of trading systems through rigorous testing and live monitoring.
- Participate in code reviews and contribute to best practices in software development.
- Stay up-to-date with the latest technologies and industry trends to drive innovation.

What you’ll bring

What you need:

• Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in software development within the financial industry, such as proprietary trading firms, hedge funds, or investment banks.
• Proficiency in programming languages such as C++ and Python, with solid experience in database technologies like SQL and KDB.
• Strong understanding of algorithms, data structures, and software design principles.
• Excellent problem-solving skills, attention to detail, and strong communication and teamwork abilities.

We’d love if you had:

• Experience with systematic trading system development.
• Experience with DevOps practices and continuous integration tools.
• Experience with risk reporting systems and troubleshooting pre/post-trade related issues.
• Experience with market data access via Reuters, Bloomberg, and exchange native protocols.
• Knowledge of cloud computing platforms (e.g., AWS, Azure).
• Knowledge of machine learning and data analysis techniques.
   

Who We Are 

Schonfeld Strategic Advisors is a global multi-strategy, multi-manager investment platform that harnesses the transformative power of people to perform in all market environments. Our dynamic culture inspires better outcomes for our team, our investors, and our partners. We aim to consistently deliver risk-adjusted returns, with people driving performance.

We specialize in four core strategies: Quantitative Trading, Fundamental Equity, Tactical Trading, and Discretionary Macro & Fixed Income. We capitalize on inefficiencies and opportunities within the markets, drawing from a significant investment in proprietary technology, infrastructure, and risk analytics.

We invest through internal portfolio managers and external partner funds, pursuing alignment among investors, investment professionals, and the firm. Our footprint spans 7 countries and 19 offices.

Our Culture

Talent is our strategy. We believe our success is because of our people, so putting our talent above all else is our top priority. We are teamwork-oriented, collaborative, and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning & educational offerings and opportunities to make an impact.

We foster a sense of belonging among all of our employees with Diversity, Equity and Inclusion at the forefront of this mission. Our employees value diversity across identity, thought, people and perspective which serves as the foundation of our culture. As a firm, we are committed to creating a hiring process that is fair, welcoming and supportive.

The Role

We are looking for a hands-on STRAT / forward-deployed engineer to embed with our multi strategy business. The candidate will sit on the trading floor, shipping full-stack tools that power research, risk, and execution across strategies such as index rebalance, delta-1 and
long/short equities. The role will be based in our Hong Kong office.

What you’ll do

• Automate PM/analyst processes— alpha signals, portfolio construction, real-time risk, P&L, scenario and stress analytics.
• Help build out our proprietary research, portfolio construction and risk management platform.
• Build end-to-end products: data ingestion, micro-service back-ends, and lightweight front-ends for visualization and workflow.
• Own SDLC: requirements gathering, architecture, coding, testing, deployment, and ongoing support in a fast-moving trading environment.
• Balance long-horizon platform projects with fast tactical asks; break down roadblocks and deliver incremental value quickly.
• Use our proprietary AI setup to create differentiated analytics; help extend the AI platform.
• Maintain strong stakeholder communications across technology, trading, quant research and risk.
• The minimum internship period is 6 months, and the role may be converted to a full-time position based on strong performance.

What you’ll bring

What you’ll need:

• 2–3 years buy- or sell-side experience as a STRAT, quant dev, or forward-deployed engineer.
• Solid grasp of trade-lifecycle and investment management workflows; exposure to equities preferred.
• Proven coding expertise; comfortable across the stack (data wrangling, REST/GraphQL APIs, Python, simple JS/React or Dash front-ends).
• STEM Master degree or Ph.D. with strong quantitative/problem-solving skills; ML/AI experience a plus.
• Self-starter who thrives in a high-tempo setting, communicates clearly and manages stakeholders effectively.
• Willing to be based in Hong Kong (relocation support provided if needed). 

Our Culture 

The firm’s ethos is embedded in our people. ‘Talent is our strategy’ is our mantra and drives how we approach all initiatives at the firm. We believe our success is because of our people,
so putting our talent above all else is our top priority. Schonfeld strives to create an environment where our people can thrive. We foster a teamwork oriented, collaborative environment where ideas at any level are encouraged and shared. The development and advancement of our talent is honed through interactions with each other, learning & educational offerings, and through opportunities to make impactful contributions. At Schonfeld, we strive to cultivate a sense of belonging throughout all of our employees with Diversity, Equity and Inclusion at the forefront of this mission. As a firm we are committed to creating a hiring process which is not only fair, but also welcoming and supportive. On a daily basis, our employees welcome diversity across identity, thought, people and views which serves as the foundation of our culture and success. You can learn more about our DEI initiatives here - Belonging @ Schonfeld.

Who we are

Schonfeld Strategic Advisors is a multi-manager platform that invests its capital with Internal and Partner portfolio managers, primarily on an exclusive or semi-exclusive basis, across quantitative, fundamental equity and tactical trading strategies. We have created a unique structure to provide global portfolio managers with autonomy, flexibility and support to best enable them to maximize the value of their businesses. Over the last 30 years, Schonfeld has successfully capitalized on inefficiencies and opportunities within the equity markets. We have developed and invested heavily in proprietary technology, infrastructure and risk analytics. Our portfolio exposure has expanded across the Americas, Europe and Asia as well as multiple asset classes and products.

#LI-LC1

We are seeking an innovative and experienced Embodied AI Researcher, focusing on the development and application of foundation models in robotics. The successful candidate will contribute to cutting-edge research, designing models and experiments that advance the field of robotics through deep learning and zero-shot generalization.

Responsibilities:

• Train foundation models for robotics, utilizing architectures similar to RT-X.
• Align text-based reasoning processes with low-level robotic control policies.
• Design and conduct experiments to evaluate zero-shot generalization in robotic systems.
• Collaborate with interdisciplinary teams to integrate AI models into practical robotic applications.
• Document and present research findings at internal and external conferences.

Qualifications:

• PhD or equivalent research experience in Deep Learning and Robotics.
• Proven track record of publications in top-tier conferences such as CoRL, ICRA, and NeurIPS.
• Practical experience with imitation learning and behavior cloning techniques.
• Strong programming skills in Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
• Excellent problem-solving skills and the ability to work independently and as part of a team.

We are seeking a skilled MLOps & Agentic Platform Engineer. This role involves managing model registries, developing continuous training loops, and implementing A/B testing infrastructure. The ideal candidate will have a strong DevOps/MLOps background and be adept at deploying scalable microservices and building observability dashboards.

Responsibilities:

• Manage model registries, continuous training loops, and A/B testing infrastructure.
• Deploy agents as scalable microservices on Kubernetes.
• Build observability dashboards to track token usage, latency, and agent reasoning paths.

Qualifications:

• Strong DevOps/MLOps background (Kubernetes, Docker, Terraform).
• Experience with MLflow, Weights & Biases, or LangSmith.
• Knowledge of building scalable microservice architectures.

We are searching for an AI Safety Specialist who will play a crucial role in enhancing the security and robustness of language models. You will ensure the safe deployment of AI systems by conducting adversarial testing, implementing protective measures, and aligning AI behavior with ethical principles.

Responsibilities:

• Conduct adversarial testing on LLMs and multimodal agents.
• Implement guardrails and real-time filtering for autonomous tool use.
• Develop constitutional AI principles and assist with RLHF alignment pipelines.

Qualifications:

• Background in cybersecurity, prompt engineering, or adversarial ML.
• Experience with jailbreak taxonomies and automated red-teaming frameworks.
• Strong analytical mindset for identifying edge cases.

We are seeking a highly skilled LLM Pre-training & Distributed Systems Engineer. This role is essential for orchestrating large-scale machine learning training runs and optimizing  distributed infrastructure. The ideal candidate will have a deep understanding of GPU clusters and extensive experience in system engineering to ensure efficient and reliable training processes.

Responsibilities:

• Orchestrate distributed training runs across 1,000+ GPUs using PyTorch, DeepSpeed, or Megatron-LM.
• Optimize networking (InfiniBand/RDMA) and memory management to prevent out-of-memory errors.
• Automate checkpointing and failure recovery during month-long training runs.

Required Skills:

• Deep expertise in 3D parallelism (Data, Tensor, Pipeline).
• Experience managing SLURM or Kubernetes-based GPU clusters.
• Strong systems engineering background (C++, CUDA, Python).

About the Opportunity

OKX is looking for a Senior Director of AI to lead both the people and the product — building and managing a high-calibre AI team while maintaining close involvement in how autonomous agent systems are designed, evaluated, and shipped into production. This role is for someone who leads by doing: grounded in the technical craft, sharp on product direction, and able to translate both into real business outcomes.

What You’ll Be Doing

• Team Leadership — Build, manage, and develop a team of AI engineers and researchers; own hiring, growth, and performance across the function
• Agent Product Delivery — Lead end-to-end delivery of autonomous AI Agent products, covering the full lifecycle from requirements and architecture through to production operations
• Eval-Driven Development — Establish benchmark-driven evaluation frameworks that replace manual iteration with quantifiable quality signals across agent systems
• Agent Harness Design — Design and implement end-to-end Agent Harness infrastructure to ensure agent stability and reliability in complex, real-world scenarios
• LLM Orchestration — Orchestrate creative reasoning steps alongside deterministic guardrails, finding the right balance between flexibility and control
• Engineering Workflow Integration — Embed AI Agent capabilities deeply into core products and engineering pipelines, improving both developer productivity and business value
• Cross-functional Alignment — Collaborate with product, engineering, and business teams to ensure technical direction stays tightly aligned with strategic priorities

What We Look For In You 

• Master's or PhD in Computer Science, Artificial Intelligence, or a related field 
• 10+ years of experience in AI/ML research, productization, or platform development, including core technical or leadership roles at globally recognized technology companies
• Deep expertise in LLMs and Generative AI, deep learning, reinforcement learning, recommendation systems, and related areas
• Proven track record of translating AI capabilities into measurable business outcomes
• End-to-end delivery experience with autonomous AI Agent products, from inception and architecture through to production operations
• Hands-on experience integrating AI deeply into engineering and development workflows — such as AI coding assistants, automated code review, or developer productivity tooling
• Proficiency in Mandarin and English is required to collaborate across our multilingual, cross-regional teams

Nice to Haves

• Background at an AI-native startup or frontier AI lab, with familiarity with fast-cycle product iteration
• AI publications, patents, or industry-recognized technical contributions
• Familiarity with the unique technical challenges of applying AI in crypto, fintech, or high-frequency data environments

Perks & Benefits

• Competitive total compensation package
• L&D programs and Education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowances 
• Comprehensive healthcare schemes for employees and dependants 
• More that we love to tell you along the process!

Capco

Capco is a leading global technology and management consultancy that excels in driving digital transformation within the financial services and insurance sectors. With an unwavering commitment to delivering practical solutions, we empower our clients to navigate the complexities of today's fast-paced market. Our integrated services span across major financial hubs worldwide, ensuring that we are always close to our clients and their needs.

At Capco, we possess not only the expertise but also the vision and passion necessary to lead transformative change. As we embark on an exciting growth journey, this is the perfect moment to join our team. We are expanding geographically, increasing our workforce, and poised to disrupt the consulting landscape across APAC with our entrepreneurial spirit and agile methodologies.

About the Role

We are thrilled to introduce an opportunity for a talented AI Engineer to join our Hong Kong team. This role is designed for a technology innovator who thrives on solving complex challenges and is passionate about building AI-driven solutions that transform the Financial Services industry. As an AI Engineer at Capco, you will play a pivotal role in shaping the future of banking and insurance by leveraging cutting-edge AI technologies to deliver intelligent, scalable, and compliant solutions. Your work will enable our clients to unlock new efficiencies, enhance customer experience, and stay ahead in a rapidly evolving digital landscape. If you are excited about applying advanced AI techniques to real-world business problems and driving measurable impact, we want you on our team.

Key Responsibilities

• Build multi-agent workflows to optimize business processes within banking and financial services.
• Develop and maintain software pipelines for data processing, model training, and deployment using Python-based frameworks.
• Train, fine-tune, and optimize neural network models, including LLMs, for specific use cases such as risk assessment and customer query resolution.
• Collaborate with data scientists, engineers, and business stakeholders to translate requirements into production-ready AI applications.
• Ensure AI models adhere to banking regulations, data privacy standards (e.g., GDPR, CCPA), and ethical AI practices.
• Conduct experiments, evaluate model performance, and iterate solutions to improve accuracy and efficiency.
• Monitor deployed solutions in production, troubleshooting issues, and implement updates as needed.
• Stay updated on emerging AI trends, particularly in NLP and LLMs, and contribute to knowledge sharing within the team.
• Participate in code reviews, agile ceremonies, and CI/CD processes.

Experience and Qualifications

• 4–10 years of professional experience in AI/ML engineering, with a focus on software development and deployment.
• Strong software engineering experience with Python and libraries such as TensorFlow, PyTorch, scikit-learn, and Huggingface.
• Demonstrated experience in NLP, including projects involving text classification, entity recognition, or similar.
• Hands-on experience training and fine-tuning neural network models, with a track record of optimizing for performance and scalability.
• Proven expertise working with LLMs (e.g., GPT, BERT) and building agentic solutions using frameworks like LangChain, LangGraph, or ADK.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for model deployment and data management.
• Solid understanding of machine learning concepts, including supervised/unsupervised learning, evaluation metrics, and bias mitigation.
• Experience with version control systems (e.g., Git) and agile methodologies.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.

Preferred Qualifications

• Experience in financial services domains such as fraud detection, credit scoring, or customer service automation.
• Familiarity with big data tools (e.g., Spark, Hadoop) and databases (SQL/NoSQL).
• Knowledge of graph databases and knowledge graphs.
• Understanding DevOps practices, containerization (Docker, Kubernetes), and MLOps workflows.
• Publications, open-source contributions, or certifications in AI/ML.
• Strong communication skills for presenting technical concepts to non-technical stakeholders.

ABOUT US

Capco is global technology and business consultancy with a focus on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry, combining innovative thinking with unique expert know-how.  The solutions we offer to our customers every day are as diverse as our employees.

We are/have:

• Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains.
• Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc.
• Committed to growing our business and hiring the best talent to help us get there
• Focused on maintaining our nimble, agile and entrepreneurial culture.

THE ROLE

We are currently seeking a Data Analytics Lead to drive the strategy and growth of our industry recognised, and award-winning Data Practice. To be considered for this role you will be a respected authority in the analytics industry, with experience in helping to build and run an analytics consulting business. This is an exciting opportunity to join a growing team of multi-disciplinary data practitioners, who you will direct and collaborate with to develop new businesses and deliver cutting-edge analytics, data science and AI projects for top-tier Financial Services clients. You will play a key role in helping to direct and drive the growth of data analytics capability, identifying business development opportunities for new and existing clients, and aiding the development of client proposals, and propositions.

You will help to develop the HK Data Practice and support the broader Global Data Practice on industry changing topics such as Advanced Analytics, Artificial Intelligence, Intelligent Automation, and Machine Learning. Collaboration, enthusiasm, and encouragement are key in ensuring we maintain our culture and working in an environment where clients become colleagues. We are looking for a candidate who will empower the team, drive high standards, grow capability, and deliver customer focused outcomes.

AS DATA ANALYTICS LEAD YOU WILL

• Identify and research business development opportunities on new or existing clients and aid the development of client proposals and bids.
• Have a strong commercial focus, ability to develop client relationships, direct sales opportunities and develop data propositions.
• Build market networks and relationships, to enhance the market awareness of the HK Data Practice.
• Contribute to internally and externally facing innovation practice in your field
• Create a collaborative culture, drive talent development, provide mentoring and coaching for those developing their careers in data
• Be comfortable working across multiple projects and initiatives, driving the growth of new and existing data capabilities, engaging internal and external stakeholders.

SKILLS & EXPERTISE

• 8+ years of consulting experience, likely in a senior management or director position.
• Experience in spearheading new business opportunities.
• Understanding of common data concepts e.g., Data Strategy, Data Management, Data Governance, Data Architecture, Data Privacy, Data Literacy
• Expertise in one or more of the following Data Science, Analytics & AI concepts: Machine Learning, Business Intelligence, MLOps, Analytics operating models, AI development and operationalisation, Data & AI Ethics, Data Analysis
• Ability to develop working relationships with a wide variety of clients, from C-suite to technical resources, balancing conflicting priorities.
• Background managing business and technical teams to deliver projects of varying sizes, from incubating innovative products to delivering large scale productionised analytics and data science models.
• Essential experience working within Financial Services, Capital Markets, Insurance, or Wealth & Asset Management, in a data science, analytics and AI related role.
• Desired experience in programme execution, business analysis and change management – proven ability to shape, design, and manage the execution of data programmes.
• Experienced working in a multi-client environment that emphasises collaboration, and teamwork.
• Experienced in recruiting and developing teams.

We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

Summary: We are seeking an AI Engineer to join an innovative team in Shenzhen. This role involves developing cutting-edge AI solutions to support our next-generation Layer 1 blockchain project, focusing on institutional adoption and the tokenization of real-world assets. The AI Engineer will play a critical role in designing and implementing AI models that bridge traditional Web2 institutions into Web3.

Responsibilities:

• Design and develop AI algorithms and models to support blockchain infrastructure.
• Collaborate with cross-functional teams to integrate AI solutions into blockchain applications.
• Analyze and interpret complex data sets to enhance decision-making processes.
• Implement machine learning models to improve blockchain scalability and efficiency.
• Ensure AI solutions comply with regulatory and security standards.
• Stay updated with the latest AI and blockchain technologies.

Required skills:

• Bachelor's or Master’s degree in Computer Science, AI, Machine Learning, or a related field.
• Proven experience in AI and machine learning model development.
• Strong programming skills in languages such as Python, R, or Java.
• Familiarity with blockchain technology and decentralized applications.
• Ability to work collaboratively in a fast-paced, dynamic environment.
• Excellent problem-solving and analytical skills.
• Proficiency in English and Mandarin is required.

Summary: We are seeking an AI Engineer to join an innovative team in Shenzhen. This role involves developing cutting-edge AI solutions to support our next-generation Layer 1 blockchain project, focusing on institutional adoption and the tokenization of real-world assets. The AI Engineer will play a critical role in designing and implementing AI models that bridge traditional Web2 institutions into Web3.

Responsibilities:

• Design and develop AI algorithms and models to support blockchain infrastructure.
• Collaborate with cross-functional teams to integrate AI solutions into blockchain applications.
• Analyze and interpret complex data sets to enhance decision-making processes.
• Implement machine learning models to improve blockchain scalability and efficiency.
• Ensure AI solutions comply with regulatory and security standards.
• Stay updated with the latest AI and blockchain technologies.

Required skills:

• Bachelor's or Master’s degree in Computer Science, AI, Machine Learning, or a related field.
• Proven experience in AI and machine learning model development.
• Strong programming skills in languages such as Python, R, or Java.
• Familiarity with blockchain technology and decentralized applications.
• Ability to work collaboratively in a fast-paced, dynamic environment.
• Excellent problem-solving and analytical skills.
• Proficiency in English and Mandarin is required.

Summary: We are seeking an AI Engineer to join an innovative team in Shenzhen. This role involves developing cutting-edge AI solutions to support our next-generation Layer 1 blockchain project, focusing on institutional adoption and the tokenization of real-world assets. The AI Engineer will play a critical role in designing and implementing AI models that bridge traditional Web2 institutions into Web3.

Responsibilities:

• Design and develop AI algorithms and models to support blockchain infrastructure.
• Collaborate with cross-functional teams to integrate AI solutions into blockchain applications.
• Analyze and interpret complex data sets to enhance decision-making processes.
• Implement machine learning models to improve blockchain scalability and efficiency.
• Ensure AI solutions comply with regulatory and security standards.
• Stay updated with the latest AI and blockchain technologies.

Required skills:

• Bachelor's or Master’s degree in Computer Science, AI, Machine Learning, or a related field.
• Proven experience in AI and machine learning model development.
• Strong programming skills in languages such as Python, R, or Java.
• Familiarity with blockchain technology and decentralized applications.
• Ability to work collaboratively in a fast-paced, dynamic environment.
• Excellent problem-solving and analytical skills.
• Proficiency in English and Mandarin is required.

ABOUT US

Capco is a global technology and management consultancy specializing in driving digital transformation in the financial services and insurance industries. Capco is committed to providing clients with practical solutions. We offer a globally integrated service with offices in leading financial centers across the globe. We have the people, the vision, and the passion.

We are growing through a significant growth journey, now is a very good time to join us as we expand geographically, increase headcount and disrupt the consulting market across APAC with entrepreneurial and agile thinking.

We are:

• Experts in banking and payments, capital markets and wealth and asset management
• Deep knowledge in financial services offering, including e.g. Finance, Risk and Compliance, Financial Crime, Core Banking etc.
• Committed to growing our business and hiring the best talent to help us get there
• Focus on maintaining our nimble, agile and entrepreneurial culture

ROLE RESPONSIBILITIES

We are currently seeking Senior Data Consultants to support and drive the growth of our Data practice, particularly in our Python Development stream. This is an exciting opportunity to be a leader, in a growing team of data practitioners, where you will be initiating and implementing cutting-edge data & analytics programmes for top-tier Financial Services clients.

As a Senior Data Consultant, you will be involved in developing the HK Data Practice capabilities and the broader Global Data Practice to supporting topics such as Cloud, Artificial Intelligence and Machine Learning.

KEY RESPONSIBILITIES 

SKILLS & EXPERTISE

• 5 years of experience in python development within Financial Services. 
• Advanced proficiency in Python for data processing and analytics, including libraries such as pandas, NumPy, and related frameworks.
• Strong understanding of data warehousing concepts, data modelling principles, and data governance standards.
• Solid experience working within SDLC and Agile delivery environments as a strong individual contributor.
• Experience with FIS tools, including Prophet and PMCS (configuration, runs, outputs, integration
• CI/CD: automate tests/quality checks in pipelines (e.g., GitHub Actions/GitLab/Jenkins)
• Immediately available highly preferred 

WHY JOIN CAPCO?

You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.

ABOUT US

Capco is a global technology and management consultancy specializing in driving digital transformation in the financial services and insurance industries. Capco is committed to providing clients with practical solutions. We offer a globally integrated service with offices in leading financial centers across the globe. We have the people, the vision, and the passion.

We are growing through a significant growth journey, now is a very good time to join us as we expand geographically, increase headcount and disrupt the consulting market across APAC with entrepreneurial and agile thinking.

We are:

• Experts in banking and payments, capital markets and wealth and asset management
• Deep knowledge in financial services offering, including e.g. Finance, Risk and Compliance, Financial Crime, Core Banking etc.
• Committed to growing our business and hiring the best talent to help us get there
• Focus on maintaining our nimble, agile and entrepreneurial culture

ROLE RESPONSIBILITIES

We are currently seeking a Senior Consultant to support and drive the growth of our Data practice, particularly in our Data Analysis / Data Modelling / Data scientist stream. This is an exciting opportunity to be a leader, in a growing team of data practitioners, where you will be initiating and implementing cutting-edge data & analytics programmes for top-tier Financial Services clients.

As a Senior Data Consultant, you will be involved in developing the HK Data Practice capabilities and the broader Global Data Practice to supporting topics such as Cloud, Artificial Intelligence and Machine Learning.

KEY RESPONSIBILITIES 

SKILLS & EXPERTISE

• Minimum 3+ years experience using NLP, large language models, and machine learning to solve business problems (such as search, extracting information from documents, or automating processes).
• Experience within banking or financial services will be preferred but not a must. 
• Hands‑on experience designing and building LLM solutions, including retrieval‑augmented generation (RAG), agent‑based workflows, and systems that use tools and multi‑step logic.
• Experience putting AI / LLM models into production and supporting them, with an understanding of scaling, controls, and operational risks.
• Strong Python coding skills, with experience writing reliable, production‑ready code using modern ML and LLM frameworks.
• Good understanding of how to work with LLMs, including prompt design, fine‑tuning models, adapting them to specific domains, and knowing their strengths and limitations.
• Strong communication and consulting skills, with the ability to explain complex technical ideas clearly to both business and technical stakeholders.

WHY JOIN CAPCO?

You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.

Location: Hong Kong or Remote
Type: Full Time

The Role

As a Software Engineer at Nex, you will contribute to building the technical foundations that power our platform's most demanding capabilities. You will focus on either ML Engineering or Framework Engineering, two complementary specializations that drive research velocity and product performance.

In the ML Engineering track, you will build the infrastructure that accelerates machine learning research: training pipelines, data workflows, model integration systems, and the tools that enable rapid experimentation. Your work ensures researchers can iterate reliably and move experiments toward production readiness.

In the Framework Engineering track, you will own the design and development of our cross-platform software framework for detection, sensing, haptics, and ML inference. You will build the real-time systems, hardware abstraction layers, and developer APIs that enable multimodal interaction on Nex Playground.

Either path offers the opportunity to work on deeply technical problems in machine learning systems, data infrastructure, sensing technologies, and real-time inference. You will be part of a small, highly technical team that values both specialization and collaboration, with clear ownership of core technology areas.

The Mindset

You are drawn to solving complex technical challenges at the intersection of research and production engineering. You care deeply about building systems that are reliable, performant, and maintainable. You thrive in environments where technical depth matters, where your expertise in ML systems, distributed computing, or real-time software directly shapes what the platform can do.

What You’ll Do

ML Engineering Track

• Design and build training pipelines, data workflows, and model integration systems
• Develop infrastructure that accelerates research iteration and reduces turnaround time
• Build systems for data collection, curation, and preprocessing at scale
• Create tools and automation that move experiments toward production readiness
• Optimize data pipelines for reliability, performance, and observability
• Collaborate with ML researchers to understand their needs and remove technical blockers
• Work on model serving infrastructure and integration with the production framework

Framework Engineering Track

• Design and develop a robust, performant, cross-platform framework for sensing, detection, haptics, and ML inference
• Build efficient runtime execution systems and hardware abstraction layers
• Develop developer APIs that make complex sensing and inference accessible
• Optimize for real-time performance on multimodal data streams
• Work on camera, microphone, and haptics integration
• Implement code that runs reliably across different platforms and hardware configurations
• Improve framework stability, performance, and developer experience

Both Tracks

• Write clean, well-tested code that maintains high engineering standards
• Participate in code reviews and help raise the engineering bar across the team
• Contribute to shared tools, infrastructure, and cross-role projects (20% Time)
• Work with the dual-leadership model (Engineering Manager and Tech Lead) to understand priorities and technical direction
• Document systems and decisions to support team knowledge sharing

Must Have

ML Engineering Track

• 3+ years of professional software engineering experience in building production ML systems, training infrastructure, or research platforms
• Proficiency in Python, additional experience with at least one other systems language (C++, C#, Java, Rust, or Go)
• Hands-on experience with PyTorch or TensorFlow in production or research environments
• Experience building or maintaining ML training pipelines or data workflows
• Familiarity with model deployment, inference optimization, or MLOps practices

Framework Engineering Track

• 3+ years of professional software engineering experience in building real-time software frameworks, cross-platform systems, or performance-critical applications
• Proficiency in C++/C#, additional experience with at least one other systems language (C++, C#, Java, Rust, or Go)
• Experience with cross-platform development
• Proven track record with performance optimization, real-time systems, or hardware abstraction layers
• Experience building developer APIs or software frameworks used by other engineers

Nice To Have

For ML Engineering Track

• Experience with distributed training systems or GPU-accelerated computing
• Knowledge of data versioning, experiment tracking, or ML metadata management
• Familiarity with containerization (Docker) and orchestration tools
• Contributions to open-source ML projects or research publications

For Framework Engineering Track

• Experience building real-time systems or low-latency software
• Familiarity with computer vision, signal processing, or embedded systems
• Experience with cross-platform development or hardware abstraction
• Knowledge of performance optimization and profiling
• Experience with sensing technologies (cameras, microphones, or similar)
• Familiarity with CI/CD pipelines and automated testing

For Either Track

• Experience working in small, high-performance technical teams
• Background in startups, high-growth environments, or consumer product companies
• Passion for pushing technical boundaries and deep problem-solving

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

We’re expanding our successful global equity stat arb business with the build out of a new team of quantitative researchers focused on developing mixed-frequency (low/mid) strategies based out of Hong Kong. This team will leverage new and differentiated approaches to research and will be comprised with top talent across the fields of Quantitative Research, ML/LLM & Engineering.

What You'll Do: 

Quantitative Researchers collect and analyze tens of thousands of data sets, identify patterns and extract insights into the complexities in global financial markets. Researchers lean heavily on statistical analysis, machine learning, and data engineering skills; applying the results of their research to forecasts and predictive trading models. Jump’s Quantitative Researchers are constantly collaborating with other scientists, traders, hardware and software developers, and market facing business teams to push for the best expression of our new ideas.

Skills You'll Need:

• Creative thinkers who are driven, self-motivated, and eager to solve challenging problems

• Proven experience developing successful quantitative trading strategies is highly preferred, though not required

• Demonstrable experience leveraging forecasting and machine learning techniques, such as linear regression analysis, neural networks or other state-of-the-arts models

• Bachelor, Masters or PhD in Computer Science, Statistics, Physics, Mathematics (or related subject)

• Strong programming skills in C++/python in a Linux environment 

• Desire to work within a collaborative, team-driven, fast-paced environment

Who We Are

About the Team

Our company, specializing in blockchain and web3 technologies, places a high emphasis on security and reliability. We are seeking individuals who are deeply knowledgeable in operating systems, browsers, DApps, smart contract security, and programming language behaviors. Responsibilities include identifying potential risks such as private key storage and designing leakage prevention solutions.

What You’ll Be Doing:

• Design, develop, and maintain real-time and batch data processing pipelines using Flink, ensuring high performance and scalability.
• Responsible for the architecture design and development of Flink streaming systems, tailoring solutions to complex business requirements.
• Collaborate with data scientists to support feature engineering and develop feature stores for machine learning models in production.
• Work closely with cross-functional teams, including AI, compliance, risk, and engineering, to provide robust and scalable data solutions.
• Troubleshoot and resolve performance bottlenecks and technical challenges in real-time stream processing, ensuring system stability and scalability.
• Improve system performance and data integrity, addressing complex issues in real-time data pipelines.

What We Look For In You:

• Deep expertise in Apache Flink for real-time data streaming and processing, with experience in designing and developing streaming architecture.
• Familiarity with data platforms such as Alibaba Cloud Hologres, Doris/Clickhouse, and Spark.
• Experience in feature engineering and feature store development to support machine learning applications in production environments.
• At least 10 years of relevant work experience, especially in large enterprises or international Fintech companies
• Background in FinTech or blockchain companies.
• Strong English communication skills to work effectively in a cross-national team
  
  • Bonus Points:
    Experience in developing feature stores.
    Experience with blockchain technology.