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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:
Your future role within QRT
Your present skillset
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/
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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
Interviewing:
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
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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
Your Present Skillset
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.
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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 present skillset
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.
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As we continue to build...
We’re seeking curious, growth minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply.
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
What you bring
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!
Entrupy embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone.
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Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment.
IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments.
Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology.
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.
The role has regional responsibility and will involve:
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About Man Group
Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent.
Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com
* As at 31 December 2025
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.
Inclusion, Work-Life Balance and Benefits at Man Group
You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity.
You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering.
Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.
Equal Employment Opportunity Policy
Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws.
Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.
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Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities.
Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back?, as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations.
To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc. If you receive a suspicious email or message, please do not respond and report it immediately to us.
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
Must Have
Nice to Have
#LI-Onsite
Nex is located in San Jose, California, USA and Hong Kong. Learn more about us at nex.inc/who-we-are.
We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms!
Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination.
We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.
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Location: Hong Kong
Benefits:
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:
Skills required:
What you’ll get in return:
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!
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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.
REQUIREMENTS:
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 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.
Equal Opportunity Employer:
At Skin Laundry, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Skin Laundry believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.
Accommodation Assistance:
Skin Laundry is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, contact PeopleTeam@SkinLaundry.com
Employment Agencies:
Skin Laundry will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Skin Laundry, including unsolicited resumes sent to a Skin Laundry mailing address, fax machine or email address, directly to Skin Laundry employees, or to Skin Laundry’s resume database will be considered Skin Laundry property. Skin Laundry will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Skin Laundry will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees.
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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.
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:
If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.
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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.
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:
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.
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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.
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:
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.
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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 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.
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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.
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 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.
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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:
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.
If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.
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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.
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.
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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.
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:
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.
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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:
If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.
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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:
If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.
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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.
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:
If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.
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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.
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:
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
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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.
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:
If you’d like to learn more, you can read about our interview process and meet some of the team.
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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.
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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:
We’d love if you had:
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.
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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
What you’ll bring
What you’ll need:
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.
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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:
Qualifications:
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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:
Qualifications:
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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:
Qualifications:
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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:
Required Skills:
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Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.
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OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
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.
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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
Experience and Qualifications
Preferred Qualifications
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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:
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
SKILLS & EXPERTISE
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.
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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:
Required skills:
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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:
Required skills:
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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:
Required skills:
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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:
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
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.
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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:
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
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.
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Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities.
Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back?, as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations.
To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc. If you receive a suspicious email or message, please do not respond and report it immediately to us.
Location: Hong Kong or Remote
Type: Full Time
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.
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.
ML Engineering Track
Framework Engineering Track
Both Tracks
ML Engineering Track
Framework Engineering Track
For ML Engineering Track
For Framework Engineering Track
For Either Track
Nex is located in San Jose, California, USA and Hong Kong. Learn more about us at nex.inc/who-we-are.
We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms!
Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination.
We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.
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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)
Desire to work within a collaborative, team-driven, fast-paced environment
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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:
What We Look For In You:
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