Role

We are looking for an Account Executive-Enterprise to join our Sales team based in Hong Kong, reporting to the Regional Director, Greater China Region. You will be responsible for understanding and solving customer pain points through a unique value proposition, focusing on high-impact growth within your territory. By educating key decision-makers on inspiring technology, you will drive the mission forward and ensure customer success.

What you’ll do (Role Expectations)

• Understanding and solving customers' pain points through Zscaler's unique value proposition
• Embracing selling an inspiring technology to educate key decision-makers in organisations in your territory
• Creating a plan for success; coverage, target prospects, customer footprint, partner coverage, marketing campaigns
• Learning and implementing our world-class sales methodologies to overachieve on quarterly/annual revenue goals
• Working with your Sales Engineers to achieve both business and technical value

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.
• You are resilient and adaptable. You view change as an opportunity and setbacks as temporary. You maintain composure and focus in high-pressure situations, guiding yourself and your team through complexity with a steady, positive hand.
• You lead with integrity. You do the right thing, even when it’s hard. You hold yourself and others to a high standard of accountability and build trust by matching your words with consistent, transparent action.

What We’re Looking for (Minimum Qualifications)

• 7 plus years of professional experience in Sales managing a revenue quota
• Bachelor's degree in Business or a related field
• Progressive selling experience engaging with accounts and selling at the C-Level

What Will Make You Stand Out (Preferred Qualifications)

• Experience selling Security, SaaS, or Software
• Experience working with Channel partners to create joint plans, develop pipeline, and lead opportunities to closure

#LI-LK2

#LI-Remote

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 deliver high quality analytics of trading and production data and provide senior management with strategic outputs
• Develop new reports and analysis tools in order to help traders and researchers manage their risk on a daily basis
• Leverage your trading and market expertise by sharing production results and methodology with other traders and researchers
• Contribute to portfolio management through periodic strategic deep dives and improved continuous monitoring

Your present skillset

• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering
• Coding skills required in at least one programming language (e.g. Python + SQL, VBA) and capacity to work on large datasets
• Experience in finance is a plus
• Excellent communication skills

Your enhanced experience and learning opportunities at QRT

• Mentorship from industry professionals
• Detailed practical hands-on experience with portfolio management and analysis
• Contribution to high level decision making on global businesses
• Exposure to large scale data analysis technology
• Experience in a collaborative and collegial corporate environment

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!

What this job can offer you

The Payroll Specialist Lead - China payroll is a critical role within Remote’s dynamic global payroll organization. Nestled within our EOR and Payroll Operations Team, this role is responsible for delivering accurate, compliant payroll operations within assigned countries while also contributing to the improvement and scalability of our global payroll processes.

You will work closely with internal stakeholders across Payroll Operations, Tax, Finance, Product and Customer Success, while coordinating with diverse payroll partners where applicable.

This role is well suited for a mid-to-senior career payroll ops professional who has deep hands-on experience running payroll in complex environments and is comfortable operating in globally distributed teams.

What you bring

• Brings meaningful mid-senior career experience in Pakistani payroll operations, including hands-on responsibility for end-to-end payroll processing in Pakistan
• Has managed payroll in multi-country environments or global organizations, with exposure to different payroll systems and local regulatory frameworks.
• Demonstrates strong understanding of payroll controls, reconciliations, statutory reporting, and compliance requirements.
• Comfortable working with internal and external stakeholders in Remote’s payroll ecosystem, and coordinating cross-functional stakeholders.
• Analytical and detail-oriented, with strong problem-solving skills and the ability to manage complex payroll scenarios.
• Strong written and oral communicator, comfortable working in asynchronous and globally distributed environments.
• Takes ownership of outcomes, raises risks early, and approaches operational challenges with curiosity and accountability.
• Comfortable working in scrappy, quick-moving start-up environments.
• Proficient in payroll tools and data analysis using in-house and external platforms
• Experience working in remote or globally distributed teams is an advantage.
• Demonstrates strong fluency in English; additional languages are a plus.

Key Responsibilities 

• Ensure payroll is processed accurately, on time, and in compliance with country-specific regulations and statutory requirements.
• Own end-to-end payroll execution for assigned jurisdictions, including validation of payroll inputs, payroll calculations, and post-payroll processes.
• Act as a subject matter expert on country payroll requirements, staying up to date with legislative, tax, and regulatory developments that may impact payroll operations.
• Support the operational implementation and rollout of payroll services in new or expanding jurisdictions, ensuring payroll execution processes are effectively integrated into operational workflows.
• Serve as a key point of coordination for internal teams and external stakeholders on country payroll matters.
• Identify and resolve payroll discrepancies, operational risks, or compliance issues, exercising sound judgment when escalating complex matters.
• Contribute to the continuous improvement of payroll operational processes, identifying opportunities to streamline workflows and improve operational transparency.
• Support the development and maintenance of payroll documentation and operational knowledge to ensure processes remain clear, scalable, and aligned with internal governance requirements.
• Partner with cross-functional teams to support system enhancements, statutory updates, and operational improvements impacting payroll.
• Contribute to the adoption of automation and AI-enabled tools that improve payroll operational efficiency, accuracy, and scalability.
• Participate in testing activities related to payroll system developments, enhancements, and process improvements to ensure operational readiness.

Practicals

• You'll report to: Manager, Payroll Operations
• Team: Global Payroll Operations
• Location: APAC
• Start date: As soon as possible

Application process

1. Interview with recruiter
2. Interview with team members (no managers present)
3. Interview with future manager
4. Bar Raiser Interview
5. Prior employment verification check 

• 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

We are looking for a visionary yet hands-on Tech Strategy Consultant to lead our digital evolution. This is a unique role for a "bridge-builder"—someone who can sit with leadership to define our product roadmap and then roll up their sleeves to execute the development from end-to-end. You will be the architect of our digital ecosystem, ensuring our technology stack scales alongside our educational mission in Hong Kong.

Key Responsibilities

• Strategic Roadmap: Define the long-term tech strategy; evaluate whether to build custom solutions or integrate best-in-class SaaS products to meet business goals.

• End-to-End Product Ownership: Own the entire lifecycle from initial requirements gathering and wireframing to vendor selection, development oversight, and final deployment.

• Vendor & Talent Orchestration: Source and manage external developers or vendors, ensuring high-quality code and delivery within budget and deadlines.

• Future-Proofing: Proactively identify emerging EdTech trends (AI, personalized learning, etc.) to keep us ahead of the competition.

Requirements

• Experience: 6+ years in Digital Transformation, Product Management, or Technical Consulting—ideally within the Education or EdTech sectors.

• The "Architect" Skillset: Proven track record of implementing and connecting complex systems (e.g., Salesforce/HubSpot, Xero, BambooHR, or LMS platforms like Canvas/Moodle).

• Technical Literacy: Deep understanding of system architecture, data migration, and API integrations (experience with middleware like Zapier or Make is essential).

• Project Mastery: Expert-level command of Agile methodologies and tools (Jira, Asana, or Linear).

• The "Translator" Ability: Exceptional skill in translating complex business pain points into clear technical specifications.

• Language: Native or professional fluency in Cantonese and English is a must; Mandarin is a strong advantage.

Senior Data Architect

Design the blueprint. Architect the future. Empower data transformation.

The Role
Capco is seeking a Senior Data Architect to lead and deliver complex data architecture initiatives across our financial services clients. In this senior consulting role, you’ll guide clients through their data transformation journeys, defining strategy, designing architecture, and building scalable, cloud-based platforms. You’ll also contribute to shaping Capco’s modern data architecture offerings.

What You’ll Do

• Lead agile consulting projects focused on modern data architecture and cloud transformation
• Define and implement scalable enterprise data strategies across programmes and business units
• Design and deliver data platforms using cloud-native technologies on AWS, Azure, or GCP
• Drive integration of data governance, cataloguing, privacy, and metadata capabilities
• Act as a subject matter expert to clients, presenting technical concepts in a business context

What We’re Looking For

• Proven experience in data architecture, cloud data engineering, and enterprise platform design
• Deep knowledge of modelling practices including contextual, logical, and physical data modelling
• Hands-on experience with cloud-based data ecosystems (AWS, Azure, GCP) and modern data stacks
• Understanding of cloud data migration, data management tools, and security frameworks
• Strong communication skills to engage stakeholders across technical and non-technical teams

Bonus Points For

• Data or cloud architecture certifications (e.g., AWS, Azure, GCP, Databricks)
• Experience in data lake design and large-scale data migrations
• Familiarity with graph computing and semantic data modelling
• Background in Financial Services with stakeholder management in complex environments
• Ability to lead teams and contribute to the development of Capco’s data architecture propositions

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions
• Work in a collaborative, flat, and entrepreneurial consulting culture
• Access continuous learning, training, and industry certifications
• Be part of a team shaping the future of digital financial services
• Help shape the future of digital transformation across Financial Services.

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.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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 are looking for an Employee Compliance Specialist to act as a point of contact in administering various employee compliance requirements in our Hong Kong office. You should be able to answer questions and explain processes clearly to a wide range of colleagues across the firm and external parties, and work well with others to implement and improve our compliance processes.

Additional responsibilities of this role will include:

• Administering the SFC licensing process and trader registration processes with various third parties
• Administering the Personal Account Dealing Policy, answering queries and appropriately handling breaches
• Coordinating and monitoring our Continuous Professional Training (CPT) programme, including working with stakeholders to create learning content
• Identifying employee compliance-related policies and processes in need of improvement and designing and implementing those improvements
• Working with third-party vendors to maintain and improve various tools
• Managing the full SFC “Manager-in-Charge” (MIC) registration and exchange registration processes for certified persons
• Creating management information to be shared with MICs and other stakeholders

This role sits within our Legal and Compliance team, a dedicated group of professionals who share a deep understanding of the law, a meticulous commitment to regulatory protocol and a passion for protecting our colleagues as they focus on their daily work.

About You

• Have an undergraduate degree and at least 5 years of relevant professional experience in employee compliance (in particular, SFC licensing requirements)
• A proactive, courteous and flexible team player
• Organised with strong communication and people skills
• Mature, professional and trustworthy; show excellent judgement with sensitive information
• Motivated self-starter who can handle competing priorities and work effectively in a challenging, fast-paced environment
• Have excellent attention to detail
• Fluent in English and spoken/written Chinese (Cantonese and/or Mandarin)

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 an Exotic Options Trader based in Hong Kong to work closely with our local and global options teams. In this role, you'll price complex derivatives, identify trading opportunities, and strategically manage relationships with our sell-side counterparties.

Exotic options trading at Jane Street sits at the intersection of our single stock and index options businesses. You'll collaborate closely with colleagues across products and regions, contributing to idea generation, model development, and strategic positioning. Partnering with sell-side counterparts is a core part of the business, and we are looking for someone who can cultivate these relationships and help us access flow we might otherwise miss.

We have a culture of strong collaboration both across teams and across regions, and are actively expanding our exotic options trading capabilities. We're looking for someone who brings deep product knowledge and market intuition to the team. Your understanding of complex payoffs, ability to price quickly and accurately, and willingness to push us in new directions will be instrumental in our continued growth.

Our Trading team is full of highly motivated professionals who have created a culture of trust, respect, and collaboration. Your working relationships, trader intuition, and ability to analyze special situations will add value to our team.

About You

• 3-6 years of experience in exotic options trading
• Strong quantitative skills in pricing complex derivatives
• Familiarity with the sell-side landscape and a track record of building productive counterparty relationships
• Able to think critically and implement new ideas
• Programming skills in Python preferred
• Experienced teaching others and open to learning new techniques
• Strong communicator with excellent planning, analytical, and people skills; comfortable coordinating across time zones
• Reliable and flexible team player with a positive attitude
• Detail-oriented, organised, and thorough, with a desire for continuous improvement
• Willingness to spend multiple weeks a year traveling to New York and London
• 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 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

About this role

We are looking for a Staff/Principal Linux Infrastructure Engineer with deep expertise in Linux development, network driver creation, and performance optimization. In this hands-on, high-impact role, you will work directly in our TrustedServer Team to create and refine the core systems that drive ExpressVPN’s infrastructure. This role is ideal for a Linux expert with a record of notable contributions to the kernel or other relevant communities and a history of published research in the field.

What you’ll be Do:

• Develop, optimize, and maintain TrustedServer collaboratively with the team, ensuring this foundational technology continues to serve as the secure backbone of our global services.
• Lead advanced Linux development projects and maintain active contributions to the Linux and relevant communities, with a focus on optimizing network drivers and enhancing system performance.
• Create and maintain dedicated environments and labs to rigorously test and optimize system performance; analyze results and implement improvements that increase system speed, resilience, and scalability.
• Network Driver Development: Develop and refine custom network drivers tailored to the high-demand needs of our digital privacy and performance solutions.
• Write clear, comprehensive technical designs and test plans, ensuring complex infrastructure projects are heavily de-risked and cleanly architected.

What you’ll bring:

• Minimum of 7 years in Linux infrastructure and Linux development, with documented contributions to kernel or relevant repositories.
• Demonstrated experience in network driver development, performance testing frameworks, and significant contributions to the Linux and relevant communities.
• Deep expertise in C++/Rust programming, Linux kernel architecture, and network protocols.
• Advanced capabilities in performance tuning and development of testing frameworks.
• Strong analytical and problem-solving skills, with a hands-on, proactive approach to systems architecture and performance optimization.
• Degree in Computer Science, Computer Engineering, or a related field.

Nice to have:

• History of published research in systems performance, networking, or kernel architecture.
• Expertise in computer security, cryptography, secure coding practices, or public key infrastructure.
• Familiarity with modern VPN protocols, including WireGuard or our own open-source protocol, Lightway.

What we offer:

• Work with a modern tech stack in a strong engineering culture
• Influence on technical decisions and room to innovate
• Continuous learning opportunities and support for professional development
• A motivated, collaborative team with extensive experience
• A strategic role with real technical influence and ownership
• A modern engineering culture with CI/CD, observability, and a strong code review culture
• Purpose-driven work: we value security, quality, and depth over quick hacks

#LI-PS1

The Role:

• Partner with APAC Portfolio Management teams to understand and analyze portfolio risk across this geography
• Calibrate and manage risk guidelines for multiple teams, ensuring alignment with firm-wide risk appetite
• Collaborate with portfolio managers to resolve discrepancies in measured risk or address risk exposures out of their guidelines
• Conduct detailed portfolio/trade level analysis, across Rates, FX, Equities, and Commodities
• Present risk assessments to senior-risk and management concisely
• Maintain a detailed and proactive view of the current risk environment, and measure risk events’ potential impact on positions
• Develop reports/analyses for use by the wider risk team and portfolio management

What you'll bring:

• 3+ years of experience in trading, quantitative analysis, or market risk at either a buy or sell side institution
• Deep knowledge of FX and Rates (preference for EM specific experience)
• Ability to collaborate and work effectively within a global team
• Strong communication skills, with the ability to present complex risk concepts to senior management
• Advanced programming skills in Python
• Academic background in a quantitative discipline (e.g.: Mathematics, Finance, Physics)

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.

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 four trading strategies; quantitative, fundamental equity, tactical trading and discretionary macro & fixed income. 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 markets. We have developed and invested heavily in proprietary technology, infrastructure and risk analytics and continue to capitalize on new opportunities. In 2021 we launched our newest strategy, discretionary macro & fixed income as part of the continual growth of Schonfeld’s investible universe. Our portfolio exposure has expanded across the Americas, Europe and Asia as well as multiple asset classes and products. 

#LI-TJ1

The Role

Schonfeld is looking for a senior regional lead to own the APAC trading technology agenda. Reporting directly to the Head of Portfolio Management & Trading Solutions in London, you will be the most senior presence of the Portfolio Management & Trading Solutions (PMATS) team in Asia - the group responsible for the firm’s trading technology ecosystem across onboarding, platform support, front office technology, and execution strategy.

This is a front-office-facing role where front office trading requirements meet trading technology. You will be the person a COO, Portfolio Manager or Head of Trading turns to when they need a credible, trusted technology partner - someone who understands how discretionary and systematic strategies operate, speaks the language of APAC market structure, and can navigate complex cross-functional initiatives from inception to delivery.

Our APAC user base spans discretionary and semi-systematic equity focused Portfolio Managers through to systematic strategies, with a growing Fixed Income and FX presence in the region. Given the time zone spread across London and New York, you will travel to both offices periodically - typically two to three times a year - to stay connected to the global PMATS leadership team and contribute to firm-wide platform strategy.

What You’ll Own

Regional Relationship Management

• Serve as the primary PMATS point of contact for APAC COOs, heads of trading, and portfolio managers across all strategy groups - systematic, Delta One, fundamental equity, Index and discretionary macro fixed income
• Build and maintain trusted relationships that give you genuine influence over the APAC technology agenda and early visibility into business needs
• Represent PMATS in APAC leadership forums and provide regular, clear updates to the global PMATS leadership team on regional priorities, risks, and escalations

Platform Ownership & Escalation

• Own the delivery of new capabilities and initiatives across the APAC trading platform end-to-end
• Serve as the regional escalation point for all trading platform issues, ensuring fast and effective resolution with clear communication to stakeholders
• Partner with TPS (Trade & Platform Support) and FOT (Front Office Technology) leads in APAC to maintain high-quality, follow-the-sun coverage

Cross-Functional Initiative Delivery

• Lead and coordinate cross-functional technology initiatives in APAC - complex onboardings, system migrations, EMS/OMS integrations, and regulatory-driven changes
• Manage dependencies across internal technology teams and external vendors to keep programmes on track
• Drive the APAC onboarding agenda - new Portfolio Managers, new strategies, new markets - working closely with global onboarding teams, operations, compliance and treasury to ensure smooth launches

Strategy & Roadmap Input

• Contribute to PMATS’s global platform strategy, bringing an APAC-first perspective on market structure, latency requirements, and regional regulatory constraints
• Identify gaps between current capabilities and business needs in the region and develop clear proposals for how to close them
• Work with the global PMATS leadership on strategic initiatives including execution stack evolution, EMS/OMS assessment, and platform consolidation

What You’ll Bring

What you need:

• 10+ years of experience in institutional financial services technology - buy-side, sell-side, or vendor - in roles that required direct, senior engagement with front-office stakeholders
• Deep understanding of electronic trading workflows across equities, futures, and derivatives - order lifecycle, EMS/OMS architecture, execution management, and market microstructure
• Demonstrated track record of managing and delivering complex, cross-functional technology programmes in a multi-stakeholder environment
• Strong commercial awareness - you understand what Portfolio Managers and COOs actually care about and can translate business requirements into technology outcomes without needing constant direction
• Excellent relationship and communication skills - you are comfortable presenting to senior management, challenging constructively, and building trust quickly across cultural and organizational boundaries
• Solid familiarity with APAC market structure across key equity and derivatives markets including Hong Kong, Japan, Korea, China, Singapore, India, Taiwan, and Australia
• Based in Hong Kong

We'd love if you had:

• Breadth of asset class exposure across equities, futures, fixed income, FX and derivatives - candidates with experience across multiple product types will be prioritized
• Experience in a multi-strategy or multi-manager investment environment
• Hands-on experience with institutional EMS/OMS platforms - GTX, Portware, FlexTrade, TBricks, Neovest, SpiderRock, or equivalent
• Familiarity with macro, fixed income, FX or rates trading workflows alongside core equities experience
• Understanding of systematic and quantitative trading workflows, including algorithmic execution and order routing
• Experience working across APAC time zones within a global team, with counterparts in New York and London
• Familiarity with PMS and risk analytics platforms such as Enfusion or Derivitec
• Cantonese (primary) and/or Mandarin language skills - advantageous given coverage of Greater China markets

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.

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 four trading strategies; quantitative, fundamental equity, tactical trading and discretionary macro & fixed income. 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 markets. We have developed and invested heavily in proprietary technology, infrastructure and risk analytics and continue to capitalize on new opportunities. In 2021 we launched our newest strategy, discretionary macro & fixed income as part of the continual growth of Schonfeld’s investible universe. Our portfolio exposure has expanded across the Americas, Europe and Asia as well as multiple asset classes and products. 

#LI-TJ1

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.

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 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!

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.

Senior Penetration Tester

If you’re passionate about security and privacy, and want to use your offensive security skills to help safeguard private, uncensored access to the internet for millions of customers, we’d love to speak with you. 

Who you are

You’re a natural at solving problems and identifying security weaknesses with deep expertise in application security and infrastructure, and you have experience working on teams that know how to remediate vulnerabilities you identified based on your recommendations. You aren’t afraid of change, and you ask the questions that need to be asked. A lack of clarity is something you can’t settle for, and you voice your concerns when the balance between effort and impact seems off. 

As someone with an offensive security mindset, you know there are always vulnerabilities waiting to be found, and you’re naturally collaborative to help find and address them. You’re always willing to hear ideas from your colleagues. Likewise, you're willing to share your own knowledge and mentor others. 

What you’ll do

As a senior individual contributor on our Offensive Security team, you’ll have a broad set of responsibilities including:

• Prepare and execute penetration testing projects of our assets, services and applications, either individually or as part of a team with members across various geographic locations such as Singapore, Hong Kong, London, Germany and Bucharest.
• We operate across a wide range of technologies, from client facing applications written in various languages for various platforms, to backend infrastructure and services, and router firmware. We provide an environment where you’ll be exposed to a wide range of technologies that form our tech stack.
• You’ll need a strong white-box testing methodology and the ability to identify bugs in source code to go along with good organization and communication skills when delivering penetration tests of our applications and services.
• Work closely with the engineering teams to provide expert guidance and advice on remediation of identified vulnerabilities
• Verify the existence of newly discovered vulnerabilities in our software stack, including triaging and verifying bugs from our bug bounty program and automated scanners, and develop novel attack vectors based on these 
• Manage and support penetration testing services performed by outside vendors, from project inception, scoping, completion of the assessment, and finally, working with engineering teams to have the identified issues remediated
• Bring creative solutions to fruition for solving some of the complex security challenges faced by our organization, and provide security reviews on technical design documents for our solutions. Identify areas where automated testing can be done, then develop, maintain and continuously improve tools to support these automated tests
• Mentor, guide and support other team members using your strong technical knowledge
• Identify inefficiencies in the team’s workflow, suggest solutions and drive them to completion

This role focuses strongly on your ability to perform penetration testing (with a specialization in either desktop and server applications, infrastructure, and mobile apps, depending on your experience). To be a good fit for this role, you should be able to read source code in various languages, identify security weaknesses and vulnerabilities in various platforms and efficiently deliver security assessment projects while mentoring junior team members. Networking knowledge is critical to succeed in this role.

What you’ll bring

• Identify vulnerabilities, misconfigurations and deviations from best practices within applications by means of manual source code review, static code analysis, and/or fuzzing using Burp Suite, AFL or similar tooling. We expect vulnerabilities to be identified and exploited up to the levels of OSCP, OSWE or OSED
• Analyze application binaries, shared libraries, and browser extensions through the use of debuggers and reverse engineering tools to understand the components of the application and assess their security posture, as well as how they interact with the underlying operating system
• Experience writing scripts in languages such as: Python, bash, or Golang to showcase your proof of concepts
• Experience writing automation workflows such as Github Actions
• Provide mentorship and guidance to other team members and share knowledge and findings with them
• Good knowledge of:
• TCP/IP, IDS/IPS, firewalls, WAF, and web content filtering
• Cryptography: PGP, SSH, PKI

How you’ll succeed

• Your capacity to consistently identify security vulnerabilities and provide sound remediation strategies alongside our engineering teams is key to success in this role
• You’ll be assigned as a security lead across a number of our projects, and will need to mentor more junior team members and help them grow their skillset
• Your ability to design technical solutions while staying ahead of industry trends will help drive continued security improvement, especially when supporting secure engineering designs

Finally, candidates with strong experience in manual source code review and vulnerability research, or a strong track record in this area (e.g. CTFs, bug bounty program activity, published CVEs) are preferred.

How we’ll support you

We believe in fostering an environment that empowers decision-making at all levels. Our culture is rooted in the inverted pyramid approach, where the engineers, who have a deep understanding of the product and the customers, are the ones who have the knowledge and the authority to make impactful decisions. 

• We prioritize treating every team member with respect and promote open and constructive feedback, ensuring a culture of trust and transparency
• We encourage learning through experimentation and provide a safe space for everyone to learn from their experiences
• Our managers are dedicated to facilitating career growth and creating an environment that attracts and supports talented engineers

#LI-PS1

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.

Change the way the world travels

Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it’s all powered by our commitment to make every single journey extraordinary - including yours. 

Ready to unlock your potential with a community of fellow explorers? Find your next role at our Berlin HQ or one of our local offices around the globe, from New York to Bangkok. Head to getyourguide.careers to take the first step.

Team mission

We are looking for an experienced leader to manage our Greater China business and drive the commercial performance under account management scope on all major destinations in the region. As Regional Manager Greater China, you will act as an entrepreneur and be responsible for identifying opportunities and strategic initiatives of key attractions and activity partners in the region, building strong business relationships, and creating strategic supply advantages for GetYourGuide. You will spearhead the regional commercial performance, rapidly launch new destinations, and lead a team to achieve your objectives. This position reports to our Regional Director APAC.

Your mission

• Drive the commercial growth of the region by improving existing connections with key attractions and key activity partners
• Drive buy-ins and adaption of global strategies and processes
• Escalate and add regional nuances to core strategies to penetrate the region
• Launch new activities against an ambitious launch timeline
• Exceed sales and revenue targets by effectively managing quarterly sales goals
• Lead by example; set clear expectations and provide role clarity to develop your team by holding people accountable, reviewing progress, and providing constant feedback and guidance
• Implement strategies for scaling the company’s existing supplier base, driving supply diversity and account’s market share, by adjusting and evolving programs over time to meet these goals
• Ensure accurate sales reporting, CRM hygiene, metric analysis, sales recognition, and other ad-hoc sales operations support activities
• Recruit, lead, manage, and develop a highly driven sales team 
• Seamless cross-team work with different sales team and functionalities across offices and regions
• Build and nurture a positive team culture, focusing on GetYourGuide’s guiding principles and acting as a role model for the company culture
• Implement compensation, training, and sales incentive programs together with the Regional Director

Your toolkit

• 5+ years of experience in sales or account management, including 3+ years in management roles
• Strong operational leader with demonstrated success in driving growth, tangible results, and KPI improvements within the region
• Fluent in English, Fluent in Mandarin and native in Cantonese
• Experienced in working seamlessly with a diverse global team
• Deep understanding of online marketplace dynamics
• Strong destination and business culture knowledge of Greater China
• Strong willingness to win despite all challenges, thrives in a fast-paced entrepreneurial environment
• Strong track record in recruiting, onboarding, and developing top talent.
• Outstanding communication, negotiation, persuasion, and interpersonal skills with a strong win-win mentality and natural ability to build relationships
• Data-driven, results-oriented, and accurate
• International technical company, Travel industry experience & Personal network in tourism is a plus

How we’ll make your career journey extraordinary

• Annual personal growth budget and mentorship programs for continuous learning and development
• Work from anywhere in the world for 30 days per year
• A hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time.
• Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
• Monthly transportation and fitness budget
• Discounts for you, your friends, and family on GetYourGuide activities
• Language reimbursement program
• Health and wellness benefits

And more…

How to apply

Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘how we hire’ and ‘life at GetYourGuide’. If you have any further questions, please don’t hesitate to get in touch at jobs@getyourguide.com.

We’re an equal opportunities employer

Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application. 

#LI-Hybrid

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.

CASETiFY is one of the leading global lifestyle brands to offer customizable tech accessories. We’re industry leaders when it comes to trend forecasting and protecting what matters most; the community platform for creativity and self-expression.

We are an international company that cares about culture and diversity. Our group is headquartered in Hong Kong and has offices in Los Angeles, Seoul, Shanghai, Taipei, Tokyo and our team comes from 27+ nationalities.

We stand up for what we believe in by supporting causes that matter to us and our global community. At CASETiFY, we embrace diversity and inclusivity. As an equal opportunity employer, we encourage applicants from all backgrounds to apply. We are also committed to sponsoring work visas on behalf of qualified candidates if necessary.

Purpose of Position

• We are seeking a passionate and experienced Marketing Manager to join the Co-Lab Marketing team. This role is responsible for owning the end-to-end marketing plan for every Co-Lab launch from strategy and creative development through to execution and post-mortem. The Marketing Manager will shape the annual Co-Lab marketing strategy and build the Co-Lab marketing playbook and processes from the ground up, and serve as the key marketing counterpart to the Business Development team. This role will collaborate closely with BD, Creative, Design, Growth Marketing, Influencer Marketing, Ecomm, and external creative agencies to deliver high-impact partnership launches that drive brand heat and commercial results.
• The ideal candidate is a strategic yet hands-on marketer with strong project management instincts and the ability to operate across multiple workstreams simultaneously. You should have deep experience in campaign development, digital marketing, and agency management, with a proven ability to translate business objectives into compelling launch plans. A passion for CASETiFY products, pop culture, and the intersection of tech and lifestyle is essential.
  
  

Job Description

Strategy & Planning

• Shape the annual Co-Lab marketing strategy in partnership with the Co-Lab Marketing Director, defining priorities, investment allocation, and KPIs across the full calendar of launches.
• Build and continuously refine the Co-Lab marketing playbook and processes from the ground up, establishing scalable frameworks for launch planning, execution, and measurement.
• Develop the marketing plan for most Co-Lab launches, including the marketing plans, master execution roadmap, and go-to-market narrative.

Marketing

• Own the growth / media plan and paid media strategy for Tier 1 launches, working with internal teams and media partners to maximise reach, engagement, and conversion.
• Write the brief for the Paid IM team on Face of Campaign activations, defining KOL profile, selection criteria, and campaign objectives.
• Lead external creative agency management end-to-end from briefing and creative direction to shoot oversight and final asset delivery.
• Oversee the development of marketing copies, translations, and all campaign messaging to ensure alignment with CASETiFY's brand voice and the partner's IP guidelines.

Cross-Functional Coordination & BD Partnership

• Serve as the day-to-day marketing partner to the Business Development team attending their planning meetings, tracking the Co-Lab pipeline, and ensuring marketing readiness across upcoming launches.
• Drive cross-functional coordination with Design, Retail Design, BD, and other internal stakeholders to ensure seamless execution from product development through to in-store and digital launch.
• Own the toolkit and asset management process, ensuring all teams and markets have timely access to the right creative assets.
• Manage timeline and cross-functional coordination across all workstreams, proactively flagging risks and resolving bottlenecks.

Team Management

• Manage and mentor Marketing Associate(s), overseeing their output across marketing plans, launch plans, marketing copies and translations, toolkit and asset management, timeline coordination, creative agency briefing and management, growth / media plans, Paid IM and UGC & Gifting briefs, cross-functional coordination, and post-mortem support.

Requirement

• Bachelor's Degree or equivalent in a relevant field.
• 6+ years of direct relevant marketing experience, preferably with a focus on campaign development.
• Experience managing external creative agencies, including briefing, creative direction, and production oversight.
• Strong understanding of paid media strategy, influencer marketing, and KOL-driven campaigns.
• Comfortable with oral and written communication, including meeting facilitation with cross-functional partners and persuasive presentations to leadership.
• Experience in project management with the ability to manage multiple concurrent launches across cross-functional teams.
• Experience collaborating with data & insights teams to derive actionable insights.
• Proven track record of integrating into learning and leading in new cultural settings (international, industry, etc.)
• Highly consumer-obsessed, passionate about tech & lifestyle consumer goods.
• Wants to be part of a collaborative team environment across all levels of an organization.
• Curiosity, patience, and the ability to be comfortable working in ambiguity.

Who We Are

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

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.

ABOUT PROPRIETARY RESEARCH

 On our proprietary research team—Market Intelligence—you’ll partner with our investment professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions our investment professionals care about most. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within. 

ROLE SUMMARY

As an International Sector Analyst on the Proprietary Research team, you will provide industry context and business fundamentals to our team of data scientists and engineers and deliver synthesized insights to our investment professionals as you partner with them on their research needs. The work is ever evolving, affording opportunities to tackle new challenges alongside research teammates from diverse backgrounds. Specifically, you will gain exposure and knowledge to:

• Develop subject-matter expertise on the key themes and key performance indicators (KPIs) that drive the industries and companies in your coverage
• Compose research reports that synthesize research findings on behalf of our investment professionals
• Interact directly with our investment professionals, learning the discretionary investment process and helping drive more informed investment decisions
• Collaborate with our global proprietary research teams to source and extract the most value out of new and existing data assets 

WHAT EXCITES YOU

• Staying current on the industry trends impacting businesses around the world
• Gaining deep expertise in industries, business models, and supply chains
• Synthesizing clear takeaways from complex information derived from both qualitative and quantitative methods
• Understanding the use of alternative data markets and their role in discretionary investing
• Multi-tasking and switching gears frequently to address the needs of the business
• Taking an experiment-based research approach with freedom to innovate
• Working as part of a cross-functional team made up of investment, research, and compliance professionals

WHAT EXCITES US

• Superb business intuition and a solution orientated, methodological approach to problem solving
• Ability to collaborate with and build strong client relationships
• Intellectual curiosity and an eagerness to find out if your conclusions are right or wrong
• People who “elevate the room” through their work ethic, curiosity, and solution orientated attitude

Location: Hong Kong 
Type: Full Time

The Role

We're seeking an exceptional R&D engineering leader to join our fast-growing Nex Playground hardware team to improve our current products, explore emerging hardware technologies, and establish technical direction that shapes our future roadmap. Your primary focus will be pushing the boundaries of what's possible across the full hardware stack—SoC platforms, cameras and optics, sensors, I/O devices, and other critical subsystems. You'll scout and evaluate cutting-edge technologies, engage deeply with vendors and developer kits, design experiments to map performance limits, build proof-of-concepts, and translate technical possibilities into product specifications. You'll also investigate field issues to improve current products and inform smarter future decisions, ensuring we learn from real-world use while advancing our technology roadmap.

The Mindset

You’re insatiably curious and hands‑on. You are energized by solving very difficult problems. You love exploring new technologies, building things end‑to‑end, and explaining how they work. You think creatively, critique rigorously, and test methodically. You care about purpose and want your skills to improve people’s lives.

What You'll Do

• Scout, evaluate, and document emerging hardware technologies to build team knowledge and capability.
• Source, set up, and assess developer kits; engage with vendors to unlock technical depth.
• Analysis field problems seeking both immediate and ultimate improvements.
• Design and run experiments for reliability, performance, thermals, power, camera optics, and latency; analyze and present results.
• Prototype novel architectures and features to demonstrate feasibility and inform product decisions.
• Develop, adapt, and optimize low‑level drivers, HALs, and firmware.
• Contribute to accessories, motion‑tracking technologies, and the Playground OS.
• Contribute to the requirements and architecture for future hardware.
• Provide technical guidance on hardware strategy, risks, and trade‑offs.

Must Have

• Bachelor’s degree in Computer Science, Electrical/Electronic Engineering, or related field.
• A strong track record of building embedded systems / personal devices / home entertainment devices on Android (AOSP).
• Deep knowledge of Android/Linux internals, drivers, HALs, system debugging, and performance optimization.
• Proficiency in C and Python.
• Excellent communication in English and Mandarin Chinese.

Nice To Have

• Domain knowledge of Arm architectures and SoC bring‑up.
• Experience deploying ML applications at the edge (e.g., quantization, acceleration, pipelines).
• Experience in camera sensors, lens optics, and ISPs.
• Experience on non-vision sensors such as IMU, ToF, and environmental.
• Hardware prototyping across ME/EE (schematics, PCB bring‑up, rapid prototyping).
• Strong portfolio of shipped or personal hardware projects.
• Empathy, product intuition, and user‑centric thinking.

Who We Are

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. 

OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.

Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.

OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

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!
  
  
  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.
  
  
  

Who We Are

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

About the Opportunity

What You’ll Be Doing 

What We Look For In You 

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!
  
  
  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.

Who We Are

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

About the Opportunity

What You’ll Be Doing 

What We Look For In You 

Nice to Haves

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!

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.

Who We Are

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

About the Opportunity

What You’ll Be Doing 

What We Look For In You 

Nice to Haves

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!

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.