Quantitative Trader at Jane Street | Hong Kong

About the PositionJoin our dynamic trading team where we leverage proprietary models to execute over a million trades on busy days. As a Quantitative Trader, you will collaborate with fellow traders to identify and capitalize on pricing inefficiencies, develop advanced trading models, manage risk, explore new products, and venture into emerging business sect…

About the Position Join Jane Street as a Quantitative Trader, where you will engage in the identification of market signals, execution of innovative trading strategies, and the development of sophisticated quantitative models. Your role will encompass conducting in-depth statistical analyses, crafting algorithmic trading systems, managing risk effectively, and exploring new business opportunities. Our trading desks thrive in a collaborative environment, where you will work closely with seasoned traders dedicated to mentoring and supporting newcomers. Expect to take on substantial trading responsibilities within just weeks of joining, complemented by our comprehensive year-long educational curriculum. At Jane Street, we blur the lines between research, technology, and trading. As our strategies evolve, collaboration becomes increasingly important, allowing us to push the limits of what's achievable. We handle vast amounts of data, leveraging a computing cluster with hundreds of thousands of cores and a growing GPU cluster featuring thousands of high-performance GPUs. Our approach is not about cookie-cutter modeling solutions; instead, we embrace a variety of statistical and machine learning techniques, ranging from linear models to deep learning, tailored to fit each unique challenge.

About the Position At Jane Street, we aim to provide you with an authentic experience of what it means to be a quantitative trader, paired with an exceptional educational opportunity. You will collaborate with seasoned quantitative traders who will guide you in recognizing market signals, analyzing and executing strategies, developing quantitative models, performing statistical analyses, and cultivating trading intuition. Your journey will involve close collaboration with two mentors on projects that reflect their everyday responsibilities, allowing you to experience the diverse challenges we tackle daily. Previous projects have encompassed analyzing new or existing datasets, training predictive models, simulating innovative trading strategies, crafting tools for production use, and exploring significant questions that remain unresolved. This hands-on experience is complemented by intensive classes, workshops, and team-based mock trading sessions. These activities will expose you to the dynamics we encounter in actual markets, highlight our role in enhancing market efficiency, and foster your understanding of trading and teamwork. At Jane Street, we intentionally blur the lines between research, technology, and trading. As we develop increasingly sophisticated strategies, close collaboration is vital in pushing the limits of what’s achievable. We handle petabytes of data, utilize a computing cluster with hundreds of thousands of cores, and maintain a growing GPU cluster with thousands of high-performance GPUs. We believe in tailored modeling solutions and are enthusiastic about applying various statistical and machine learning techniques, from linear models to deep learning, depending on the specific challenge. As a quantitative trading intern, you will also have the chance to engage in one elective tailored to your interests. These electives comprise specialized classes and immersive activities designed to offer you an in-depth perspective on various facets of quantitative trading at Jane Street: Machine Learning, Modeling, and Data Science You will discover how Jane Street employs advanced machine learning and statistical methods to create models and predictions with extensive datasets of both real and simulated market data. You’ll learn to train and utilize various machine learning models while understanding the distinctions between theoretical machine learning and its application to intricate financial data. Algorithmic Trading and Market Microstructure You will explore the complete process of developing an algorithmic trading strategy, analyzing market data to establish a tradable fair value and more.

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

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

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

Join Our Team as a Quantitative Trader!At fuku, we are seeking a talented Quantitative Trader to develop and implement innovative trading strategies leveraging statistical and mathematical models. You will analyze market data to uncover trading opportunities and optimize our trading performance.Key Responsibilities:- Design and execute quantitative trading strategies.- Analyze market trends and data to identify profitable trading opportunities.- Collaborate with fellow traders, analysts, and developers to enhance trading algorithms and systems.- Oversee risk management protocols related to trading activities, ensuring adherence to regulatory standards.- Conduct thorough backtesting and simulations of trading strategies to assess their effectiveness.- Stay informed about market dynamics, financial news, and technological advancements to inform trading strategies.- Prepare insightful reports and presentations on trading performance and strategy outcomes for stakeholders.Qualifications:- A Bachelor’s or Master’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field.- Proven experience in quantitative trading or a similar role in the financial sector.- Proficiency in programming languages such as Python, R, or C++ is essential.- Strong analytical and problem-solving abilities, adept at interpreting complex data sets.- Understanding of financial markets, trading instruments, and risk management principles.- Ability to thrive under pressure and make swift decisions in a dynamic environment.- Excellent communication skills for effective collaboration with team members and stakeholders.What We Offer:- A competitive salary complemented by performance-based bonuses.- Comprehensive health benefits, including medical, dental, and vision coverage.- Retirement savings plans with company matching contributions.- Opportunities for professional development and career progression.- Access to advanced technology and resources to support trading efforts.- Flexible work arrangements promoting a healthy work-life balance.- Employee discounts on financial products and services.

About the Position As a Linux Engineer at Jane Street, you will play a vital role in managing the foundational infrastructure that supports the firm’s technological framework. Our team consists of dedicated Systems Engineers, Administrators, and Programmers, all focused on enhancing the platform that drives our production trading systems. With a blend of proprietary and open-source software, you will have the opportunity to explore and innovate at all levels of our technology stack. On any given day, your tasks may include debugging kernel performance, creating management tools, or addressing production challenges in real-time. Solving complex systems problems is our forte. We prioritize deployment automation, scalable configuration management, and meticulous monitoring in our ongoing endeavors. While we automate as much as possible, it's not due to laziness; we believe that automation minimizes errors and reduces our overall workload—plus, we find it enjoyable! Being part of our group means collaborating with nearly every other department within the company. You will engage directly with colleagues in Trading, Technology, and Operations to develop and maintain systems that have a company-wide impact. By utilizing feedback from various teams and our specialized monitoring tools, we aim to swiftly resolve production issues, conduct thorough root-cause analyses, and implement long-lasting solutions in an efficient manner.

About the Position Join Jane Street as a Software Engineer and play a vital role in designing and developing the systems and tools that drive our firm. Our software engineers are integral to various teams—from trading desks to accounting—solving real-world challenges and building essential infrastructure, such as implementing network monitoring and risk models. We are strong advocates of functional programming, utilizing OCaml, a statically-typed functional programming language, as our primary tool. Additionally, Python has become crucial for our research and trading initiatives, serving as the primary language for data analysis, visualization, and machine learning. We value the impact of open-source software in our work. We regularly contribute to the open-source community, having released over a million lines of our own code. We also support various projects, such as Mercurial and the OCaml compiler. We welcome talented engineers with diverse programming backgrounds, as many of us started with little to no OCaml experience. For more insights, check out our interview process and meet some of our newest hires. About You We value intelligence, curiosity, and a collaborative spirit over specific backgrounds in functional programming, OCaml, or finance. We seek programmers who are passionate about technology and enjoy tackling challenging problems. You should be: A highly skilled programmer with a passion for technology. Intellectually curious, team-oriented, and eager to learn. Humble, comfortable asking questions, and willing to learn from mistakes. Fluent in English. To prepare for our software engineering interviews, you can visit our interview prep page. If you are a recruiting agency interested in collaborating with us, please contact agency-partnerships@janestreet.com.

About the Position At Jane Street, we aim to provide you with an authentic experience of what it’s like to work full-time as a Machine Learning Researcher, coupled with an unparalleled educational journey. Collaborate with seasoned ML Researchers on projects specifically chosen for their innovative ML concepts and their applicability to real-world systematic trading strategies. Engage in challenging classes and activities to deepen your understanding of market dynamics while honing your skills in utilizing established methods alongside our unique approaches to train effective models. Our environment blurs the lines between research, technology, and trading. As our strategies evolve in complexity, collaborative efforts are crucial for pushing the limits of possibility. We operate with petabytes of data, leveraging a computing cluster with hundreds of thousands of cores, and a growing GPU cluster featuring tens of thousands of high-performance GPUs. The nature of trading introduces unique challenges, such as large models and nonstationary datasets in a competitive multi-agent landscape, prompting us to explore innovative techniques. During your internship, you will primarily focus on projects in close partnership with experienced ML Researchers at Jane Street. You may conduct comprehensive studies of untapped datasets, experiment with new modeling paradigms for complex issues, or explore pioneering approaches that are still in development. The problems we tackle often lack clear-cut solutions and require insights from colleagues across diverse expertise areas. Tasks may include delving into market data, tuning hyperparameters, troubleshooting training challenges, or analyzing model predictions. Please note that due to the IP-sensitive nature of our machine learning research, it is unlikely that any findings from the internship will be suitable for external academic publication. About You If you haven't considered a career in finance before, you're not alone; many of us were in the same position before joining. If you possess a curious mind and a passion for tackling intriguing problems, you will likely thrive in our environment. Ideal candidates should be: A PhD student or postdoc engaged in empirical ML research, or possess equivalent research experience. Interested in applying logical and mathematical reasoning to diverse problems. Curious about the machine learning landscape and eager to apply cutting-edge techniques from various domains. Proficient with a broad range of models and methodologies. Capable of rapidly implementing and iterating your ideas using Python and your preferred ML framework. Keen to ask questions and explore solutions collaboratively.

About the Position Join Jane Street as a Data Engineer, where you will play a pivotal role in understanding, managing, and sharing the data that drives our trading strategies. At Jane Street, we believe that a deep and accurate grasp of data is fundamental to our success. In this role, you will leverage a combination of in-house and open-source tools to analyze diverse datasets from multiple sources. Your responsibilities will include identifying anomalies, standardizing formats and symbologies, automating ETL processes, and streamlining data access for our traders to derive meaningful insights. You should be passionate about diving into data, interpreting your findings, and collaborating effectively with traders and software engineers across the organization. While experience with financial data is a plus, we welcome talented engineers from all backgrounds and are willing to provide the necessary training.

About the RoleJoin our dynamic Workplace Services and Experience team as an Events Specialist, where you will play a pivotal role in enhancing the events landscape at our Asia offices. We are seeking an individual with a strong service orientation who thrives on building relationships across various teams to understand their objectives and tailor events that resonate with their needs.At Jane Street, our colleagues are the cornerstone of our success, and we are dedicated to creating opportunities that foster connections among our team members and enhance engagement with our culture. Our events are designed not just to support the firm’s overarching goals but also to keep our employees motivated and excited about their work environment. Additionally, these events help shape how potential candidates, including students and professionals, perceive our firm.In this role, you will be instrumental in designing, planning, and executing events for both current employees and prospective college recruits within our Asia offices. Your responsibilities will include:Building and nurturing relationships across the firm to gain insights into our culture and team dynamics.Overseeing the complete event lifecycle, including venue selection, catering, entertainment, transportation, promotion, RSVP management, and on-site support during events.Collaborating with our Recruiting, Human Resources, Workspace Services, and other internal teams to ensure cohesive event planning.Maintaining a comprehensive database of event details and associated costs.Coordinating with our Legal team to manage all event-related contracts.

Join our dynamic team at OKX as a Quantitative Trader focusing on D1 Liquidity. In this pivotal role, you will leverage quantitative analysis and trading strategies to optimize liquidity in the market. Collaborate with a team of experts to develop and implement innovative trading algorithms that enhance our trading capabilities.

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

About the RoleThe Operations team plays a pivotal role in Jane Street's trading activities. This dynamic team oversees the essential processes that link us to external partners as well as facilitate internal operations. Our objective is to efficiently and accurately manage the flow of assets, information, and ideas. We are passionate about solving complex challenges and seek to recruit outstanding, intelligent individuals who are eager to contribute to our mission.As part of this integrated team, you will be involved in crucial aspects such as trade settlements, record and position management, and cash management. You will collaborate closely with external service providers and trading partners, alongside colleagues from our local and global offices, addressing challenges that arise from our intricate trading operations to ensure seamless processes.If you haven’t previously considered a career in finance, you’re not alone; many of our team members began their journey in this field at Jane Street. We value your thought process and eagerness to learn more than prior experience. You will gain exposure to a diverse range of financial products, including equities, bonds, ETFs, futures, and swaps, starting from your very first day.

About the Position Jane Street is seeking a seasoned Payroll Specialist to become a vital member of our global team. In this role, you will oversee payroll processing and compliance for Hong Kong and Australia while providing essential backup support for Singapore, India, and the UAE. Your primary responsibilities will include the timely and accurate preparation of payrolls, ensuring compliance with related regulations, coordinating with vendors, and delivering exceptional customer service by addressing payroll-related inquiries from colleagues. You will collaborate closely with our HR, Recruiting, and other internal teams to ensure all tax reporting and benefits administration are managed accurately and responsibly. This includes working alongside our Workday team on system updates and enhancements. Additional responsibilities will encompass: Ensuring the timely and accurate processing of payrolls and pension contributions for Hong Kong and Australia Updating payroll records, monitoring compensation changes, and executing month-end, quarterly, and annual processes Liaising with the HR team regarding employee payroll and MPF matters Providing friendly and prompt customer service to Jane Street employees regarding payroll queries Preparing monthly payroll reports and conducting reconciliations Reviewing year-end, commencement, and departure forms (e.g., IR56B, 56E, 56F, 56G, FBT tax returns) Supporting global mobility initiatives Assisting during audits Maintaining payroll and internal control procedures Keeping abreast of best practices and current payroll laws and regulations Recommending improvements to streamline and automate payroll processes At Jane Street, we strive to find the best solutions to complex challenges, and this extends to our payroll function. Each member of our team plays a crucial role in fostering a collaborative and welcoming work culture. We expect you not only to complete tasks but also to contribute to the evolution of our payroll systems, making them increasingly effective and efficient. The ideal candidate will be a proactive self-starter, detail-oriented, deadline-focused, and excited by a fast-paced work environment with ample opportunities for growth.

About the PositionAt Jane Street, we are perpetually on the lookout for talented software engineers across all our offices. Technology lies at the heart of our operations, and our engineers play a pivotal role in every facet of our business.We are staunch advocates of functional programming, utilizing OCaml—a statically typed functional programming language—as our primary tool. Recently, Python has emerged as an essential component of Jane Street’s research and trading endeavors, serving as the preferred language for data analysis, visualization, and machine learning.Our commitment to open source software is unwavering; we incorporate it into our daily work and have released over a million lines of our own code as open source.About YouExceptional programming skillsA profound passion for technology and experience across various domains. We value diverse expertise from machine learning and systems administration to programming language design.Strong interpersonal skills are essential, as our software engineering process is highly collaborative, and we seek individuals who thrive in small, close-knit teams.While experience with functional programming, OCaml, Python, or finance is not a prerequisite, we are eager to hire talented engineers and provide the necessary training.Fluency in English is required.To gain insights into our software engineering interview process, please visit our interview preparation page.If you represent a recruiting agency and wish to collaborate with us, please contact agency-partnerships@janestreet.com.

About the Position Jane Street is seeking a dedicated Regional HR Partner to facilitate the implementation of a coordinated global initiative aimed at optimizing our HR functions. This role will be pivotal in collaborating with managers and stakeholders to align our HR strategies with business objectives. Based in our Hong Kong office, this position is integral to our global HR team. Our HR team is composed of committed professionals who thrive on collaboration, both within the team and with the various groups they support, to ensure Jane Street remains an outstanding workplace. If you are passionate about assisting others and adept at problem-solving, and are eager to contribute to our firm's continued growth, we want to hear from you! Key responsibilities include: Acting as a strategic partner, addressing issues related to office expansion, fostering company culture, and enhancing the overall employee experience. Providing managerial support through coaching and counseling regarding employee relations matters. Engaging actively with the Global HR team to share insights and adapt global strategies to local contexts as needed. Collaborating with other HR functions to address mobility, recruitment, compensation and benefits, development, and payroll matters. Serving as a supportive outlet for employees, effectively managing and resolving any arising issues. Leading the local HR team. About You Proven experience in people management. 10+ years of relevant experience is preferred. A strong team player demonstrating maturity, professionalism, and sound judgment. Trustworthy and discreet, capable of handling sensitive information with care. Open-minded and adaptable, willing to manage tasks directly as needed. Positive and approachable demeanor; able to maintain composure and balance in all interactions. Familiarity with HR best practices and a robust network within the industry. Strong analytical capabilities; proficient in interpreting data to inform decisions and strategies within the team. Exceptional written and verbal communication skills. Fluency in English is required. If you represent a recruiting agency interested in collaborating with us, please contact agency-partnerships@janestreet.com.

About the Internship ProgramAt Jane Street, our aim is to immerse you in the experience of working with us full-time. Throughout your internship, you will tackle exciting challenges in your field of interest through engaging classes, interactive sessions, and collaborative discussions, allowing you to apply what you've learned in a practical setting.You will be paired with experienced professionals who will mentor you as you work on genuine projects that are critical to our operations. When not engaged in your project, you'll have ample opportunities to utilize our office amenities, explore physical and virtual educational resources, attend guest lectures and social events, and delve into the areas of our work that inspire you the most.If you’ve never considered a career in finance, you’re not alone. Many of our team members started from the same place. If you possess a curious mindset, a collaborative spirit, and a drive to solve intriguing problems, we believe you’ll thrive here.About the PositionAs a Linux Engineering intern, you will collaborate closely with full-time staff to learn about maintaining and enhancing the vital infrastructure that supports our technology, including our production trading systems. Your daily tasks may involve debugging kernel performance, developing management tools, or addressing production issues in real-time. Our combination of in-house and open-source software empowers us to innovate at every level.During the internship, you will work on up to two projects, under the guidance of full-time employees who created them. Some projects will tackle big-picture questions we are still exploring, while others will focus on building innovative solutions. Your project assignments will ensure you gain a comprehensive understanding of the diverse problems we address daily, from resolving production issues swiftly to conducting thorough root-cause analyses and implementing sustainable fixes effectively.You will have a unique opportunity to see how our team collaborates with various departments, creating firm-wide solutions. We strive to automate as much of our work as possible, as we believe automation not only reduces errors but also lightens our workload—plus, it's enjoyable!

Join our dynamic Machine Learning (ML) team at Jane Street, where we seek an experienced engineer with a solid background in machine learning and strong mathematical skills. You will play a key role in shaping the future of our ML platform. At Jane Street, machine learning is an essential part of our global operations. Our fast-paced trading environment serves as a unique platform for ML experimentation, enabling us to swiftly implement innovative ideas with minimal barriers. Our team is composed of passionate individuals who appreciate software engineering and are dedicated to creating user-friendly APIs and systems. Your extensive knowledge of the ML ecosystem and familiarity with various methodologies—such as neural networks, random forests, gradient-boosted trees, or advanced ensemble methods—will be crucial in guiding our decision-making processes to select the appropriate tools for specific challenges. Additionally, you will focus on optimizing research workflows to enhance our feedback loops. Successful candidates will be adept at understanding the mechanics of different modeling techniques and will possess the ability to articulate the underlying mathematics. If you have previously considered a career in finance, you'll find many colleagues who were in the same position before joining us. While we do not have a stringent list of qualifications, a curious mindset and a passion for solving complex problems will help you thrive in our environment.