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 QRT’s 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.

We are looking for a developer with 3-12 years of experience in a quant trading environment to work directly with traders and quant researchers.

Your future role within QRT

• Key member to the success of high-frequency and low latency algo trading on APAC markets for Cash Equities and Futures markets
• Enrich and implement alpha and trading algorithms
• Implement specific market rules for the main Asian markets
• Collaborate with the traders and quant researchers on providing efficient research platform and tools

Your present skillset

• Computer Science degree or equivalent
• Strong C++ 20/23 development experience on a Linux environment
• Interest in solving technical problems, along with ability to implement robust resilient and flexible solutions
• Familiar with HPC in Cloud environment, good level of Python
• Good communication skills in a dynamic and international environment

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 QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. 

Your future role within QRT:

We are seeking a Market Microstructure Researcher to help optimize exchange connectivity and interaction for our high-frequency trading strategies. You will analyse network and exchange protocols, automate performance metrics, and lead experiments to improve our trading operations, with a focus on latency-sensitive exchanges.

• Network & Protocol Analysis: Analyse network and exchange protocol captures to identify inefficiencies and improve communication performance
• Exchange Research & Liaison: Research exchange features, attend presentations, and communicate with exchange counterparts to gather insights
• Execution Optimization: Reverse-engineer trading systems and design and conduct experiments to improve fill rates
• Cross-team Communication: Collaborate directly with trading and research teams to ensure best application of findings and direct PnL impact
• Data Analysis: Effectively work with large and robust datasets to identify and resolve inefficiencies in internal execution systems and exchange communication

Your present skillset:

• Degree in Computer Science, Engineering, or a related field
• 5+ years of experience in data analysis and/or low-level systems and network engineering
• Strong skills in Python and time-series analysis
• Understanding of network protocols such as TCP/IP and Ethernet
• Familiarity with market microstructure and low-latency trading is a plus
• Advanced networking and GNU/Linux knowledge is a plus

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

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

Your future role within QRT

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

Your present skillset

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

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

About us:

We invite you to come grow with us.

Inizio Ignite, Research Partnership

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health.

Our Research Partnership healthcare market research team provides research and insights to inform and power healthcare decisions. Serving a variety of clients across the lifecycle, our expertise includes data, research & insights (proprietary syndicated and custom research) and brand tracking (ATU). Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – supporting confident, insight-driven decisions that move innovation forward. 

About the team:

Our Custom Research team partners with global pharmaceutical and biotech clients to enable them to solve marketing, brand, advertising and communications problems through a mixture of innovative qualitative and quantitative market research techniques.

The team is not split into silos by client or therapy area, so you will be empowered to develop broad expertise across the healthcare landscape and will have the opportunity to work with a wide range of expert senior researchers and gain exposure to the full suite of research tools and techniques covered by the team.

The Singapore team operates as an APAC hub, working alongside colleagues in our international offices in Europe and Asia. You will have the opportunity to collaborate with people from across the global business.

Your primary role:

• The purpose of this role is to partner with the existing Directors to help lead, plan and manage clients and projects, and to ensure the growth, development and management of the team
• You will play a leading role in delivering a major quantitative brand tracking project for a regional client
• To provide leadership direction and management expertise in terms of growing and sustaining the business through the development and execution of group strategies, product development and sales growth plans
• Line management of midlevel staff
• Involvement in talent acquisition and assessing potential new staff

About You…

Your skills and experience:

• At least 7 years of experience in primary market research, including within the healthcare industry
• Have significant experience in leading projects and client management
• Capable business developer and relationship manager with new and existing clients
• Expertise with both qualitative and quantitative research techniques
• Fluency in Mandarin Chinese or Japanese is highly desirable

Ideal profile:

• You are proactive, dedicated and enthusiastic, with a ‘can do’ attitude and approach
• You demonstrate a high level of accuracy and attention to detail, as well as strengths in organisation and prioritisation
• You are a collaborative team player who works well with colleagues
• You communicate ideas and issues in an effective, straightforward fashion
• You are highly motivated and want to seize opportunities to develop new skills and progress your career

Life at Research Partnership:

We love what we do and continuously strive for innovation and creativity. We believe everyone should continuously be learning and provide:

• A comprehensive training and development programme, providing both structured and hands-on training in order for you to develop and build your career as a pharmaceutical market researcher
• A relaxed, non-bureaucratic, friendly working environment where employee performance is recognised and rewarded
• Social events - including team day out and end-of-year party, along with social events after office hours

Further information:

This is a full-time role, working in a hybrid pattern (2 days per week in the office) at our fantastic location in Singapore.

Our Pledge

At Research Partnership, we value inclusivity, recognize the power of diversity, and inspire the next generation of change-makers. We are an equal opportunities employer. We believe in creating a work environment that values diversity, equity, and inclusion. We aim to recruit from a diverse slate of candidates and foster an environment that provides the right conditions for long-term success. We welcome all applications regardless of race, colour, religion or belief, gender, gender identity, age, national origin, marital status, military veteran status, genetic information, sexual orientation and physical or mental disability.

#LI-JF1

About us:

We invite you to come grow with us.

Inizio Ignite, Research Partnership

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health.

Our Research Partnership healthcare market research team provides research and insights to inform and power healthcare decisions. Serving a variety of clients across the lifecycle, our expertise includes data, research & insights (proprietary syndicated and custom research) and brand tracking (ATU). Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – supporting confident, insight-driven decisions that move innovation forward. 

About the team:

Our Custom Research team partners with global pharmaceutical and biotech clients to enable them to solve marketing, brand, advertising and communications problems through a mixture of innovative qualitative and quantitative market research techniques.

The team is not split into silos by client or therapy area, so you will be empowered to develop broad expertise across the healthcare landscape and will have the opportunity to work with a wide range of expert senior researchers and gain exposure to the full suite of research tools and techniques covered by the team.

The Singapore team operates as an APAC hub, working alongside colleagues in our international offices in Europe and Asia. You will have the opportunity to collaborate with people from across the global business.

Your primary role:

• The purpose of this role is to partner with the existing Directors to help lead, plan and manage clients and projects, and to ensure the growth, development and management of the team
• You will play a leading role in delivering a major quantitative brand tracking project for a regional client
• To provide leadership direction and management expertise in terms of growing and sustaining the business through the development and execution of group strategies, product development and sales growth plans
• Line management of midlevel staff
• Involvement in talent acquisition and assessing potential new staff

About You…

Your skills and experience:

• At least 7 years of experience in primary market research, including within the healthcare industry
• Have significant experience in leading projects and client management
• Capable business developer and relationship manager with new and existing clients
• Expertise with both qualitative and quantitative research techniques
• Fluency in Mandarin Chinese or Japanese is highly desirable

Ideal profile:

• You are proactive, dedicated and enthusiastic, with a ‘can do’ attitude and approach
• You demonstrate a high level of accuracy and attention to detail, as well as strengths in organisation and prioritisation
• You are a collaborative team player who works well with colleagues
• You communicate ideas and issues in an effective, straightforward fashion
• You are highly motivated and want to seize opportunities to develop new skills and progress your career

Life at Research Partnership:

We love what we do and continuously strive for innovation and creativity. We believe everyone should continuously be learning and provide:

• A comprehensive training and development programme, providing both structured and hands-on training in order for you to develop and build your career as a pharmaceutical market researcher
• A relaxed, non-bureaucratic, friendly working environment where employee performance is recognised and rewarded
• Social events - including team day out and end-of-year party, along with social events after office hours

Further information:

This is a full-time role, working in a hybrid pattern (2 days per week in the office) at our fantastic location in Singapore.

Our Pledge

At Research Partnership, we value inclusivity, recognize the power of diversity, and inspire the next generation of change-makers. We are an equal opportunities employer. We believe in creating a work environment that values diversity, equity, and inclusion. We aim to recruit from a diverse slate of candidates and foster an environment that provides the right conditions for long-term success. We welcome all applications regardless of race, colour, religion or belief, gender, gender identity, age, national origin, marital status, military veteran status, genetic information, sexual orientation and physical or mental disability.

#LI-JF1

The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. We strive to understand data in ways our competitors don’t believe is possible. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.

WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher focusing Intraday signals research. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges.

Its Impact: As we pursue our goal of creating new alphas, we need researchers who will lead us there. WorldQuant’s unique investment platform is a leader amongst its peers and the methodology we employ is cutting edge. We desire people who will help us in our relentless pursuit to succeed.

What You’ll Bring:

• Bachelor's, Master's or PhD degree from a leading university in a quantitative or highly analytical field (e.g.Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering)
• Demonstrated ability to program in C/C++ and/or Python on a Unix/Linux platform
• Strong background in ML/AI/Statistics is a big plus
• Strong background in Data Science and experience working with large datasets is a big plus
• Relentless drive to pursue ideas from conception to implementation
• Intellectual curiosity and desire to develop genuine insights and domain expertise.
• Excellent problem solving abilities and judgment with a strong attention to detail
• Mature, thoughtful, with the ability to operate in a collaborative, team-oriented culture
• Strong English language skills; ability to communicate complex concepts in simple terms

WorldQuant has adopted the Tripartite Standard on Recruitment Practices, and has committed to being a fair and progressive employer.

ROLE/RESPONSIBILITIES:

The Cubist Business Management team manages all aspects of onboarding new systematic equity trading teams and systematic macro trading teams as well as deployments of new trading strategies.  The team also represents PMs with external counterparties and is responsible for rate negotiations, quant research vendor relationship management, and trading relationship management. General responsibilities include, but are not limited to, assisting veteran Cubist Business Management team members along the following lines:

• Complete project lifecycle management launching new PM Teams into production
• Design PM research and trading solutions that adhere to firm standards
• Educate PM teams on Point72 operating procedures and technology integration
• Lead new strategy rollout projects internally with Technology, Operations, Legal, Compliance, and Risk groups, and externally with brokers, exchanges, and vendors
• Provide day-to-day support for various operational procedures such as broker data management, compliance monitoring, trading, and business continuity

The person in this role must have a technical background as well as good communication skills and a willingness to learn day-to-day trading and finance operations.  The candidate should have a good understanding of global market structure and electronic trading systems and have familiarity with trading rules and regulations or demonstrate an aptitude to learn. Familiarity with research and market data sources is a strong plus but not a requirement.

REQUIREMENTS:

• This is a highly selective position. The ideal candidates will have a combination of software development and communication skills with some experience working in a financial services organization.
• A BS in finance, statistics, math, and engineering or computer science is strongly preferred. 2 years of relevant work experience is a plus.
• Must have the ability to assist veteran specialists while simultaneously managing multiple long-term and short-term projects independently under very tight project deadlines.
• Must have strong interpersonal skills, excellent time management skills and a team attitude.
• Ability to clearly document technical specifications and articulate concepts in a less-technical fashion.
• Working experience in Python and SQL. Linux/Unix scripting (Perl, bash, etc.) a plus.
• Additional experience with database design is a plus.
• We support systematic trading in liquid instruments (global equities, futures, and foreign exchange) as well as systematic trading in macro instruments (e.g., bonds, rates, and credit). Candidates with specific work experience and knowledge of market regulations in these areas will be strongly preferred but not required.
• Working experience with digital currency exchanges, liquidity providers, derivative financial products, and business operations a plus.
• Commitment to the highest ethical standards. 

Hudson River Trading (HRT) is seeking exceptional full-time PhD students to join our Algorithm Development team. Algorithm Developers are responsible for building and maintaining the models that drive our trading. A typical day involves applying rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models. 

In this role, you will work alongside fellow Algorithm Developers and Software Engineers to research, develop, and test novel order execution and model training methods to increase trading efficiency. This will involve running models live on our high-performance trading infrastructure and analyzing daily performance to maintain ongoing profitability. You can expect to apply your advanced academic research experience and expertise to impactful real world problems in trading across time horizons and machine learning strategies.

Profile

• You’re excited to apply your research expertise to identify new opportunities in worldwide markets  
• You enjoy both self-guided research and collaborating with others to analyze and fix problems efficiently
• You are a critical thinker who can learn and implement new skills in a fast-changing environment

Qualifications

• You are a full-time PhD student in a quantitative discipline (math, physics, computer science, statistics, or a related program) who is eligible for full-time roles in 2026
• Fluency in Python
• Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
• Brilliant analytical and problem-solving skills
• Ability to work creatively and independently on long-term technical problems

The estimated base salary for this position is 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

HRT is seeking quantitative researchers to join our effort in developing mid-frequency systematic trading strategies. Candidates will apply rigorous statistical methods on a wide range of datasets and implement trading models based on novel predictions of market behavior, all while leveraging HRT’s world-class research and trading infrastructure.

Successful candidates will be part of a growing effort and have the opportunity to contribute to all aspects of strategy development, including alpha generation, portfolio construction/optimization and trade execution algorithms. Researchers are responsible for not only prototyping and conducting research into various strategy components, but also writing code to productionalize their ideas; thus, interest and experience in programming are essential.

HRT employees enjoy a collegial and non-siloed environment; candidates will work closely with other researchers to develop new ideas and refine existing trading models.

Skills

• 3+ years of prior work experience in stat-arb required
• Degree in a quantitative or technical discipline (e.g. statistics, computer science, physics, mathematics, economics)
• Exceptional academic credentials
• Demonstrated ability to conduct research using large noisy real-world datasets
• Exceptional attention to detail and desire to understand issues deeply
• Outstanding work ethic and ability to thrive in a fast-paced environment
• Strong numerical programming skills, including proficiency in Python for data analysis and machine learning. Experience with C++ a plus

The estimated base salary range for this position is $175,000 to $300,000 per year, based on job-related skills and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the role:

As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together!

In this role, you will:

• Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on AI/ML workloads within high-performance compute (HPC) environments
• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
• Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.
• Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
• Act as a virtual member of CoreWeave's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.
• Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.
• Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.
• Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.
• Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.
• Represent CoreWeave at conferences and industry events, with occasional travel as required.

Who You Are:

• B.S. in Computer Science or a related technical discipline, or equivalent experience
• 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on AI/ML inference
• Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
• Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
• Deep expertise  with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL) 
• Demonstrated experience with running large scale Artificial Intelligence/Machine Learning (AI/ML) training and inference workloads on technologies such as Slurm and Kubernetes. You understand integration points between cloud solutions and enterprise IT 

Preferred:

• Code contributions to open-source inference frameworks
• Experience with scripting and automation related to AI/ML workloads
• Experience with building solutions across multi-cloud environments
• Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to help solve challenging technical problems
• You’re curious about the latest and greatest technologies in the AI space
• You’re an expert in managing conflict and achieving mutually beneficial technical outcomes

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is $165,000 to $225,000 SGD. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

#LI-DNI

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the role:

As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together!

In this role, you will:

• Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on Kubernetes solutions within high-performance compute (HPC) environments
• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
• Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.
• Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
• Act as a virtual member of CoreWeave's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.
• Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.
• Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.
• Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.
• Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.
• Represent CoreWeave at conferences and industry events, with occasional travel as required.

Who You Are:

• B.S. in Computer Science or a related technical discipline, or equivalent experience
• 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on scalable Kubernetes solutions
• Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
• Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
• Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL) 
• Experience with running large-scale Artificial Intelligence/Machine Learning (AI/ML) training and inference workloads on technologies such as Slurm and Kubernetes. You understand integration points between cloud solutions and enterprise IT 

Preferred:

• Code contributions to open-source inference frameworks
• Experience with scripting and automation related to Kubernetes clusters and workloads
• Experience with building solutions across multi-cloud environments
• Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to help solve challenging technical problems
• You’re curious about the latest and greatest technologies in the AI space
• You’re an expert in managing conflict and achieving mutually beneficial technical outcomes

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

We are seeking a Quantitative Researcher to work on alpha generation, model development, and the full research pipeline for mid-frequency equity statistical arbitrage strategies. The position will collaborate closely with the Portfolio Manager and other team members, contributing across all stages — from data processing and feature engineering to backtesting and live deployment.

Key Responsibilities

• Research, design, and implement predictive signals and features across global equities.
• Work with large, diverse datasets; develop robust feature engineering and point in time (PIT) data cleaning pipelines.
• Collaborate with team members to implement research infrastructure, backtesting frameworks, and analytical tools.
• Build frameworks and tools for performance attribution and ongoing live strategy monitoring.

Requirements

• 2–8 years of experience in quant equities, with a primary focus on alpha research.
• Familiarity with both standard and alternative datasets used in equity stat arb strategies, including data cleansing, ticker mapping, point-in-time (PIT) handling, and other dataset idiosyncrasies.
• Strong programming skills in Python; experience with SQL and distributed data environments.
• Advanced degree (PhD/MSc) in Mathematics, Physics, Statistics, Computer Science, or related quantitative discipline.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-AC] 

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

The Machine Learning Researcher will have a deep understanding of the principles behind modern ML algorithms — including recent advances such as transformer-based architectures and other state-of-the-art frameworks — and the ability to turn that knowledge into high-impact, production-ready solutions.

The role involves applying advanced ML techniques to a wide range of forecasting challenges, building scalable ML pipelines, and deploying them in production, while working with high-dimensional, noisy, structured and unstructured datasets. Experience applying ML models in financial markets is desirable, but exceptional candidates with a strong ML background from tech, startups, or academia will also be considered.

Responsibilities

• Research, design, and deploy robust ML models.
• Build and maintain scalable, production-level ML pipelines.
• Extract signals from large, noisy, real-world datasets.

Qualifications

• PhD (or exceptional MSc) in ML, Computer Science, or related field.
• Deep theoretical and practical knowledge of core ML algorithms, and comfortable experimenting with model architectures, feature engineering, and hyperparameter tuning to produce high-performance and resilient models.
• Proven experience taking ML models from research to live production.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-AC] 

As we scale, we are looking for quantitative traders to monetise opportunities on exchanges, price our OTC franchise, manage risk, develop and deploy models. This is a high impact role at the cutting edge of digital asset trading.

Duties and Responsibilities:

• Design, manage, optimise strategies used to make markets on crypto exchanges
• Manage pricing and liquidity provision to OTC customers
• Responsibility for the PL of team and individual strategies
• Develop and improve the models and strategies using quantitative methods
• Collaborate with Quant Dev and Research during the full lifecycle of alpha and signals development and deployment
• Conduct research and data analysis on bespoke trading data

Valued Skills

• University degree in a numerical degree, strong grades
• 3 years+ experience with OTC and/or systematic trading
• Proficiency in Python and data analysis
• Practical experience with C++ / Java or any other OOP
• Knowledge of exchange microstructure and low latency trading

Valued Personal Attributes

• Ability to work in a fast-paced fluid environment
• An entrepreneurial mind set and a natural intuition for risk
• Excellent teamwork and clear communication skills
• Someone that thrives when given the space and opportunity
• Willingness to learn and develop new skills
• Wide awareness of risk (market/liquidity/reputational/legal/compliance/etc)

The Role: 

• We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies

Job Responsibilities (include, but not limited to the following)

• Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options
• Independently lead, manage and grow quantitative investment portfolio (portfolio will have a separately identifiable track record)
• Autonomy to build your own research pipeline and grow your team

• 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe
• Strong programming skills in mainstream quant programming languages, such as Python and C++
   

The Independent Portfolio Manager Opportunity:

• Transparent and formula-based compensation
• Meaningful allocation with growth potential based on performance and scalability
• Access to a deep and broad menu of datasets supported by a dedicated data team
• Cross-asset execution led by a multi-regional trading team
• Opportunity for select engagement with the CIO Office in support of your research and strategy development

#LI-SB1

The Role: 

• We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies

Job Responsibilities (include, but not limited to the following)

• Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options
• Lead, manage and grow quantitative investment portfolio
• Contribute to broader firm research and strategic initiatives

• 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe
• Strong programming skills in mainstream quant programming languages, such as Python and C++

The Book Portfolio Manager Opportunity:

• Transparent and formula-based compensation
• Opportunities to contribute to other research and strategy initiatives
• Access to WorldQuant’s alpha pool, portfolio management tools and innovative technology platforms
• Access to a deep and broad menu of datasets supported by a dedicated data team
• Cross-asset execution led by a multi-regional trading team
• Participation in internal research conferences and forums
• Autonomy to build your own strategies along with several opportunities for collaboration and mentorship
• Access to AI and Machine Learning opportunities applied to financial markets

Technologists at WorldQuant research, design, code, test and deploy projects while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: WorldQuant Quant Enablement Team is seeking an exceptional individual to work on complex data pipelines, computational infrastructure and quant-related software systems. This role works closely with Portfolio Managers and Researchers, and across teams within WorldQuant as a hands-on engineer as a part of our business facing technology organization. A successful candidate will possess an in-depth knowledge of data design patterns, software architecture and design principles and how to implement them. They should be familiar with data structure and algorithms, data engineering and stay informed about AI technologies and their potential applications to drive business support and growth

What You’ll Bring:

• Degree in a technical or quantitative discipline from a top tier institution.
• 5 to 8 years of Python experience as a developer.
• Demonstrated ability to program in Python on Linux/Unix platforms; familiarity with scripting languages.
• Experience with effective code version control, as well as Continuous Integration and Deployment.
• Exceptional communication skills in both verbal and written form.
• Excellent problem-solving abilities and judgment with strong attention to detail.
• Mature and thoughtful, with the ability to operate in a collaborative, team-oriented culture.
• Motivated by the transformational effects of technology-at-scale.
• Experience with AI technologies, such as LLMs and agentic AI, along with their use cases would be beneficial
• Experience in finance is a plus but not required

The Role: The Quantitative Execution team is seeking an Execution Researcher to further refine WorldQuant's execution capabilities across a variety of cash and derivative products to be based in Singapore.

Key Responsibilities:

• Algorithm Design & Implementation:
• Develop detailed specifications for new and enhanced execution algorithms.
• Implement, test, and deploy robust quantitative trading strategies and tools, primarily using Python.
• Tooling:
• Build robust and reusable tools in Python to improve the overall team productivity.
• Market Impact Modelling:
• Research, develop, and refine sophisticated market impact models to seek to predict and minimize the cost of trading.
• Leverage large datasets and advanced statistical/machine learning techniques to improve model accuracy.
• Transaction Cost Analysis (TCA):
• Conduct in-depth Transaction Cost Analysis (TCA) to evaluate the performance of execution strategies, identify drivers of transaction costs, and pinpoint opportunities for optimization.
• Provide actionable insights to portfolio managers and traders.
• Collaboration:
• Work closely with the QES Lead for APAC to align strategies with regional market nuances and business objectives.
• Collaborate with trading desks, technology teams, and other quantitative researchers to integrate solutions and drive innovation

What You’ll Bring:

• PhD/Master’s in a quantitative field (CS, Mathematics, Statistics, Physics, Engineering, Quant Finance) from a top university, with 0–4 years’ experience in quantitative research and/or development for systematic or execution strategies.
• Solid Python programming skills (required), strong understanding of data structures and algorithms, and experience manipulating large-scale datasets using SQL; C/C++ is a strong differentiator.

• Strong expertise in regression models, time-series analysis, and applied machine learning, with exposure to deep learning and/or reinforcement learning, ideally in data-intensive, production-oriented environments.

The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.

WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges.

What You’ll Bring:

• Candidates holding or pursuing a Bachelor's (Hons), Master's or PhD degree in in a highly quantitative or highly analytical field e.g. Math, Physics, Computer Science or Financial Engineering from a leading university with excellent academic records are strongly preferred
• Have a research scientist mindset, i.e., be a deep thinker, creative, persevering, smart, a self-starter, etc.
• Knowledge of Linear Algebra, Statistics, Machine Learning
• Prior experience in Finance/Trading is a plus.
• Be competent in a programming language (Python, Unix)
• Possess good English language skills
• Have a strong interest in learning about worldwide financial markets
• Possess a relentless drive to succeed, supplemented by a strong work ethic

WorldQuant has adopted the Tripartite Standard on Recruitment Practices, and has committed to being a fair and progressive employer.

The MetaTech team is the engine behind the evolution of WorldQuant's proprietary research platform — empowering Researchers and Portfolio Managers to create, deploy, and lead template trading strategies at scale. MetaTech owns both foundational infrastructure and the researcher-facing features that expand what is possible within the platform. The team responds rapidly to emerging user needs while driving long-term platform modernization, spanning simulation engine upgrades, orchestration services, caching infrastructure, and the enablement of entirely new classes of strategies.

As a Software Engineering Lead in MetaTech, you will be responsible for the technical direction of a platform that sits at the intersection of quantitative research and large-scale distributed systems. You will need deep fluency in both worlds: the ability to engage credibly with Researchers and PMs about their workflows and goals, and the technical depth to architect, deliver, and modernize the systems that power them. You will lead the team's roadmap across multiple workstreams — from expanding the range of supported strategy types to infrastructure modernization — and lead a team of engineers to implement it.

The Role

• Drive the MetaTech technical roadmap, balancing researcher-facing feature delivery with foundational infrastructure investment
• Lead architectural design and hands-on development across the platform, including simulation orchestration, caching, monitoring, and strategy lifecycle management
• Engage directly with Researchers and Portfolio Managers to understand their needs and translate them into well-scoped technical solutions
• Drive infrastructure modernization efforts, including simulation engine migrations, distributed caching, and platform observability
• Partner with cross-functional stakeholders across Research, Platform, and Operations to ensure reliable, scalable delivery
• Identify opportunities to integrate agentic workflows into existing platform systems, enabling automation of complex, multi-step research and operational processes
• Manage and mentor a team of engineers, fostering technical excellence and accountability

What You'll Bring

• Bachelor's degree in Computer Science, a related field, or equivalent job experience
• 6+ years of hands-on industry experience building scalable, high-reliability backend systems
• Deep familiarity with the Python ecosystem, particularly for data-intensive and systems-level work
• Strong systems engineering instincts: distributed computing, service orchestration, and large-scale data pipelines
• Working knowledge of quantitative investment and research concepts, with an ability to engage fluently with quant researchers and PMs
• Experience with simulation systems, financial data infrastructure, or research platform engineering is a strong plus
• Working knowledge of a Unix/Linux environment
• Excellent interpersonal and communication skills — able to bridge technical and non-technical audiences
• Excellent debugging and problem-solving skills, with a bias toward root-cause analysis over workarounds
• Solid understanding of data structures, algorithms, and system design trade-offs
• Relational and non-relational database experience
• C++ 11 (or greater) experience is a plus, particularly for simulation or performance-critical contexts
• Previous people management experience is a plus

The Role: We are looking for an exceptionally talented software engineer intern to join our team. You will be part of a business-facing team responsible for building and evolving the core systems that power our Quant strategies.

You will be working with Quants very closely to develop, enhance, and support cutting-edge tools and systems that drive data decision making. The role provides a unique opportunity to gain exposure to full lifecycle of quant finance.

• Assist in developing and optimizing data infrastructure that powers our quantitative research and trading strategies .
• Help design and implement computational frameworks that execute our quantitative models and strategies.
• Work with Quants to understand their needs and provide technical solutions that enhance their workflow.

What You’ll Bring

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science
• Python programming proficiency
• Familiarity with data structure and algorithms
• Strong understanding of software development principles and methodologies
• Excellent communication and interpersonal skills
• Interest in finance, quantitative trading or financial data a plus
• Internship duration - at least a 3 months' commitment for the period June to December 2026

Responsibilities

We are looking for an exceptional AI Researcher to join our growing AI team. In this role, you will design, build, deploy, and improve ML/LLM-powered services and features that power intelligent automation and AI-driven product experiences across the Workato platform. You will work closely with our Engineering, Product, and Design teams to define and track product metrics and evaluation strategies, design customer-facing experiments and dive deep to provide actionable insights.This role is ideal for someone who combines strong ML/LLM intuition, software engineering skills and a practical mindset for shipping reliable, scalable AI systems.

• Build and improve AI services using LLMs and custom machine learning models for production use cases.

• Design, develop, and operate ML/LLM systems end-to-end, from prototyping to deployment and monitoring.

• Write high-quality Python code that is testable, maintainable, and efficient.

• Improve validation, observability, and performance monitoring for ML services (quality, latency, reliability, cost).

• Partner cross-functionally with product managers, platform engineers, and other stakeholders to ship AI-powered product capabilities.

• Evaluate and improve existing implementations by identifying bottlenecks, bugs, and opportunities for optimization.

• Design controlled experiments to test the features for our AI-based products and perform deep analysis from the results to find actionable insights

• Contribute to technical design and code reviews, helping raise engineering quality across the team.

• Experiment and iterate on model behavior, prompting, retrieval, tool use, or orchestration strategies to improve user outcomes.

Requirements

Qualifications / Experience / Technical Skills

• Experience with tool-use agents or workflow-aware AI systems.

• Experience building AI products in enterprise SaaS environments.

• Experience with A/B testing and statistical significance techniques.

• Experience with LLMOps/MLOps tooling and practices (monitoring, evaluation pipelines, model rollout, CI/CD).

• Experience working with modern data warehouses such as Amazon Redshift Snowflake.

Job Req ID: 2724

About Us

We’re a proprietary trading firm building systematic quantitative strategies in crypto. Since 2018, we’ve been a consistent liquidity provider across major venues- helping markets become more efficient and mature, while staying comfortable operating at the frontier as market structure evolves.

Our core strategies span market-making, HFT, and statistical arbitrage. We’re a team of engineers, technologists, researchers, and traders who build end-to-end systems: robust data and research pipelines to uncover edges, and low-latency infrastructure and execution software to capture them in production. We trade at scale (~$1B in daily notional volume) in a dynamic, fast-paced, and highly competitive environment.

We’re looking for the brightest, most driven people to join us- collaborative problem-solvers who want ownership, impact, and the chance to work with a team that brings 100+ years of collective quantitative finance experience.

About the position

As a quantitative researcher, you will scale our strategies to new markets and pioneer new alpha-generating frameworks from the ground up. 

Key job responsibilities include:

• Analyze large datasets to research crypto signals 
• Build, back test, and refine trading and hedging strategies across exchanges
• Monitor and analyze model performance in live trading to come up with improvement ideas
• Adapt existing strategies to new exchanges and crypto products
• Conduct research in niche market forces to improve our trading performance 

What We Look For

We are seeking mission-driven problem solvers who possess intellectual curiosity and analytical rigor required to navigate complex, real-time problems in high-stakes trading environments.  

The ideal candidate will have: 

• Significant experience required in financial markets, cryptocurrencies, crypto assets, and decentralized finance
• Deep understanding of varying crypto market microstructure and macrostructure
• Exceptional quantitative and problem-solving skills
• Strong team player with excellent communication skills
• Ability to use advanced statistics, machine learning models to solve practical problems
• Prior experience working in a data-driven role

Benefits

• Fully paid medical and dental insurance for all employees and dependents

• Competitive 401k match and generous wellness benefits.

• Meals at work and other perks.

Location 

We prefer in-person in San Francisco.

We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

About us

We’re a proprietary trading firm building systematic quantitative strategies in crypto. Since 2018, we’ve been a consistent liquidity provider across major venues- helping markets become more efficient and mature, while staying comfortable operating at the frontier as market structure evolves.

Our core strategies span market-making, HFT, and statistical arbitrage. We’re a team of engineers, technologists, researchers, and traders who build end-to-end systems: robust data and research pipelines to uncover edges, and low-latency infrastructure and execution software to capture them in production. We trade at scale (~$1B in daily notional volume) in a dynamic, fast-paced, and highly competitive environment.

We’re looking for the brightest, most driven people to join us- collaborative problem-solvers who want ownership, impact, and the chance to work with a team that brings 100+ years of collective quantitative finance experience.

About The Position 

As a quantitative researcher, you will scale our strategies to new markets and pioneer new alpha-generating frameworks from the ground up. 

Key job responsibilities include: 

• Analyze large datasets to research crypto signals 
• Build, back test, and refine trading and hedging strategies across exchanges
• Monitor and analyze model performance in live trading to come up with improvement ideas
• Adapt existing strategies to new exchanges and crypto products
• Conduct research in niche market forces to improve our trading performance 

What We Look For 

We are seeking mission-driven problem solvers who possess intellectual curiosity and analytical rigor required to navigate complex, real-time problems in high-stakes trading environments.  

The ideal candidate will have: 

• Significant experience required in financial markets, cryptocurrencies, crypto assets, and decentralized finance
• Deep understanding of varying crypto market microstructure and macrostructure
• Exceptional quantitative and problem-solving skills
• Strong team player with excellent communication skills
• Ability to use advanced statistics, machine learning models to solve practical problems
• Comfortable operating in a frenetic, high-stakes environment
• Prior experience working in a data-driven role 

Benefits

• Fully paid medical and dental insurance for all employees and dependents

• Competitive 401k match and generous wellness benefits.

• Meals at work and other perks.

Location 

We prefer in-person in San Francisco.

We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

About The Company

AlphaGrep is a quantitative trading and investment firm founded in 2010. We are one of the largest firms by trading volume on Indian exchanges and have significant market share on several large global exchanges as well. We use a disciplined and systematic quantitative approach to identify factors that consistently generate alpha. These factors are then coupled with our proprietary ultra-low latency trading systems and robust risk management to develop trading strategies across asset classes (equities, commodities, currencies, fixed income) that trade on global exchanges.

We are seeking a Trading Operations Analyst to support our high-volume trading operations. This hands-on role involves daily reconciliations, process improvements, discrepancy resolution, and trader support in a fast-paced quant environment.

Core Responsibilities

• Record and reconcile daily account balances across multiple trading venues
• Execute operational processes efficiently and identify opportunities for improvement
• Investigate and resolve ad-hoc discrepancies promptly
• Collaborate with internal teams to address queries and ensure seamless operations
• Provide operational support to senior traders and trading desk

Requirements

• Singapore Citizens and PRs only (no visa sponsorship available)
• 0-2 years of full-time work experience
• Diploma/Degree in quantitative/technical field
• Strong attention to detail and accuracy
• Reliable and trustworthy (handles sensitive financial data)
• Good problem-solving and communication skills
• Proficient in Excel; basic Python a plus
• Curious, eager to learn AI tools

Nice to Have

• Prior internship experience in finance or technology
• Interest in using AI to develop internal tools (dashboards, automation)

Why You Should Join Us

• Great People. We’re curious engineers, mathematicians, statisticians and like to have fun while achieving our goals.
• Transparent Structure. Our employees know that we value their ideas and contributions.
• Relaxed Environment. We have a flat organizational structure with frequent activities for all employees such as yearly offsites, happy hours, corporate sports teams, etc.
• Health & Wellness Programs. We believe that a balanced employee is more productive. A stocked kitchen, gym membership and generous vacation package are just some of the perks that we offer our employees.

Overview

This is an opportunity for an intermediate/senior level Offensive Security Professional to join our Product Security team. As an experienced researcher you will help maintain critical security systems within our architecture, as well as assisting the wider engineering and devops practices with their activities. In Product Security our mission is to continuously improve the security posture of BitMEX from the inside, and we are looking for someone capable and flexible who can work with our excellent staff on that mission!

A crypto trading exchange is a security environment that is fairly rare in the infosec industry: we regularly get attacked by nation-state APT groups, we have continuous attempts by everyone from script kiddies to our own users trying to find ways to illegitimately extract money from us, and we protect vast amounts of crypto. All at the same time having a software stack that requires extreme uptime, minimal latency, and absolute accuracy in how it takes and processes orders.

If you want to help protect an environment where the threats are very real and continuous, this is the job for you. We will check that you are not from the DPRK, be warned; it would not be the first (or second, or third) time.

Key Responsibilities

• Manage our bug bounty program, reviewing reports, engaging with researchers and cooperating with software engineering to fix bugs
• Reviewing the outcomes of external penetration tests, replicating issues and again, working with engineering to fix findings
• Conducting internal penetration tests on our software and infrastructure stack
• Red and purple team exercises to test our monitoring
• Security research & threat Intelligence, working with security response
• Application security & code reviews, internal training of engineers
• Being part of incidents to help triage and investigate issues

Qualifications

• 5+ Years in Information Security.
• Proven expertise in offensive security either through certifications, recognition, or referees.
• Strong communication skills and work ethic: contribute actively to the company and become ‘known’
• Candidates with less experience will be considered for an Offensive Security Engineer position.

Nice to have

• Experience with Kubernetes, Istio, Envoy and the AWS cloud platform would be useful. Advanced skills in these (and affiliated technologies) are a bonus but not required.
• Experience with GitHub CI/CD / Actions and/or ArgoCD is a bonus but not required
• Experience with derivatives and cryptocurrency is a bonus but not required.
• Development expertise in Go is a bonus but not required

Why BitMEX?

BitMEX offers a dynamic environment that blends intense work, a vibrant culture, and diversity. We actively recruit across time zones to meet growing demands and attract top global talent.

We're seeking determined, responsible, and collaborative individuals to join us in building a leading cryptocurrency ecosystem. We value meticulousness, agility, and simplicity. As a 24/7 global exchange, we look for adaptable team players who can excel in a diverse, cross-market environment.

In addition, we offer an industry leading benefits package to our permanent employees. Here’s a peek into what we offer:

• Work from home to help you find the perfect balance between work, family and personal life
• 25 days of annual leave, on top of public holidays, as well as maternity, paternity and childcare leave… etc to accommodate your growing responsibilities
• A top tier & comprehensive medical, dental and vision policy for you and your dependents
• Professional development allowance to support your career advancement
• Access to our annual wellness benefits to cultivate your physical and mental growth
• Don’t forget the advantage of our Beyond Border Remote Working policy, where you get to work away from your home country
• Team building & offsite events to bring our global team closer
• Life insurance coverage to provide a safety net for your family’s future

#LI-CH1

Tudor’s Macro Pipeline team seeks a Quantitative Researcher to work within a low latency trading team that currently researches and builds low latency trading models in the liquid futures space.  The candidate’s primary responsibilities will include researching and implementing fully automated systematic futures signals and strategies with short to medium horizon.  Suitable candidates will generally have at least 3 years of comparable research experience.

Requirements

• 3+ years of experience researching low latency futures signals and strategies
• An advanced degree (MSc or PhD) from a top institution is preferred
• Strong preference for advanced degrees in a quantitative field (e.g. Statistics, Machine Learning, Physics, Mathematics, or Engineering)
• Excellent understanding of probabilities, statistics and optimization
• Experience manipulating large datasets, including tick-level data
• Excellent programing skills: experience with both high-level (e.g. Python, R, Julia) and lower-level languages (e.g. C, C++) with fluency in at least one.
• High attention to detail
• Creative thinker
• Entrepreneurial spirit. Enjoys ownership of projects and takes responsibility for them

Compensation

• Annual base salary for the position is expected to be from $150,000 per year to $250,000 per year. Actual salary offered to the successful candidate will depend on various factors including, but not limited to, geographic location, work experience and credentials, and/or skill level, the salary expectations of applicable applicants, and other market conditions. Details about eligibility for bonus compensation will be finalized at the time of offer.

Location

• New York, NY, London, Singapore

Tudor’s Macro Pipeline team seeks a Quantitative Alpha Researcher to work within a systematic trading team that currently researches, builds and maintains systematic trading models in the liquid futures space.  The candidate’s primary responsibilities will include researching and implementing fully automated systematic futures signals with intraday to daily horizons.  Suitable candidates will generally have at least 2-4 years of comparable research experience.

Requirements

• 3+ years of experience researching scalable short and medium-term alpha
• An advanced degree (MSc or PhD) from a top institution is preferred
• Strong preference for advanced degrees in a quantitative field (e.g. Statistics, Machine Learning, Physics, Mathematics, or Engineering)
• Excellent understanding of probabilities, statistics and optimization
• Experience manipulating large datasets
• Excellent programming skills: fluency in Python and R is a must, as is the ability to write efficient code
• High attention to detail
• Creative thinker

Compensation

• Annual base salary for the position is expected to be from $150,000 per year to $250,000 per year. Actual salary offered to the successful candidate will depend on various factors including, but not limited to, geographic location, work experience and credentials, and/or skill level, the salary expectations of applicable applicants, and other market conditions. Details about eligibility for bonus compensation will be finalized at the time of offer.

Location

• New York, NY, London, Singapore

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.

As we scale, we are looking for quantitative traders to monetise opportunities on exchanges, price our OTC franchise, manage risk, develop and deploy models. This is a high impact role at the cutting edge of digital asset trading.

Duties and Responsibilities:

• Design, manage, optimise strategies used to make markets on crypto exchanges
• Manage pricing and liquidity provision to OTC customers
• Responsibility for the PL of team and individual strategies
• Develop and improve the models and strategies using quantitative methods
• Collaborate with Quant Dev and Research during the full lifecycle of alpha and signals development and deployment
• Conduct research and data analysis on bespoke trading data

Valued Skills

• University degree in a numerical degree, strong grades
• 3 years+ experience with OTC and/or systematic trading
• Proficiency in Python and data analysis
• Practical experience with C++ / Java or any other OOP
• Knowledge of exchange microstructure and low latency trading

Valued Personal Attributes

• Ability to work in a fast-paced fluid environment
• An entrepreneurial mind set and a natural intuition for risk
• Excellent teamwork and clear communication skills
• Someone that thrives when given the space and opportunity
• Willingness to learn and develop new skills
• Wide awareness of risk (market/liquidity/reputational/legal/compliance/etc)

About the role

We are seeking a hands-on Security Engineer who thrives in a startup environment.

You'll work alongside product owners and engineers with the objective to secure the products in Startale's ecosystem. Products include a next-generation decentralized exchange with a fully on-chain order book (Strium), a user-facing application (StartaleApp) and a stablecoin (USDSC). This is a hands-on, technical role. You'll be the person who actively tests our systems, hunts for vulnerabilities, models threats against our products, and works with engineers to close the gaps — not the person who writes policies and generates reports. You'll report to the Security Lead and collaborate daily with Backend, Frontend, DevOps, and Blockchain engineering teams.

Why this role

• Startale's products handle user funds and on-chain transactions so security work has tangible impact.
• Owning the security posture of a project at scale and complexity such as Strium is an opportunity for professional growth.
• You will have direct influence over how product security is built across the organization.
• Focus is on driving product security and not on maintaining compliance documentation.
• Our team is backed by and partnering with leading Japanese enterprises so you will have a chance to work in a stable and well-funded company but with the autonomy and speed of a small team.

Key responsibilities

• Security Assessments & Penetration Testing: Conduct hands-on security testing of our applications, APIs, and infrastructure. Simulate real attack scenarios against our products. Find the vulnerabilities before external attackers or whitehat researchers do. Work with engineers to fix issues pragmatically.
• Threat Modeling: Build threat models for new services and features — especially Strium's trading engine, order book, and transaction flows. Identify attack surfaces, model adversary behavior, and define what needs to be hardened before launch.
• Vulnerability Triage & Remediation: Own the end-to-end lifecycle of findings — from discovery through severity assessment, developer-facing write-ups, remediation guidance, and verification of fixes. Coordinate with engineers so issues actually get closed.
• Vulnerability Disclosure & Bug Bounty: Manage incoming whitehat reports, validate findings by reproducing them, assess severity, communicate with researchers.
• AI Tools Security Support: Assess technical risks related to AI tools used within teams (such as data exfiltration, prompt injection, training-on-input), maintain security baselines for AI coding tools and review AI-powered internal tools.

Qualifications

Must-have

• 5+ years of hands-on experience with a focus on application security, penetration testing, or product security.
• Demonstrated ability to find vulnerabilities — through manual testing, architecture and/or code review, or creative attack simulation. You should be able to describe specific bugs you've found and how you found them.
• Practical experience with exchange or trading platform security — from a DEX (preferred) or DeFi protocol. You should understand order book mechanics, transaction flows, wallet security, and the threat landscape specific to trading infrastructure.
• Scripting and automation ability — you write tools and automate to scale security across the stack, not just audit and write reports.
• Experience triaging vulnerabilities and writing clear, actionable remediation guidance for developers.
• Strong written communication in English — you'll write tickets, assessment reports and researcher responses.

Strong plus

• Experience with cloud infrastructure security — least-privilege enforcement, network security, secrets management.
• Experience with container security — network policies, RBAC, pod security standards, image scanning, Dockerfile hardening, base image management.
• Ability to read and review code in at least one of: TypeScript/JavaScript, Solidity, Rust.
• Understanding of software supply chain security, including dependency risks, build integrity, and methods for tracking what components are included in shipped software.
• Experience managing or participating in a bug bounty program (e.g. Immunefi, HackerOne).

Domain plus

• Experience securing AI/LLM tooling in engineering teams — prompt injection risks, data leakage prevention, tool configuration hardening
• Japanese language ability (not required, but useful for company context)

Location / Timezone

• Strong preference for Tokyo-based or Singapore-based candidates - Startale office locations.
• Remote-friendly for exceptional candidates — must have 3+ hours overlap with Tokyo business hours (JST, UTC+9).

Target start date

• As soon as available; realistic target start of Q3 2026.

Target companies

Decentralized exchanges, DeFi protocols, blockchain security firms, L1/L2 chain security teams, or fintech companies with trading infrastructure. We're also open to strong AppSec engineers from cloud-native startups who have genuine interest in web3.

Ideal candidate

You're a hands-on security engineer who finds real vulnerabilities, not just runs scanners. You've secured a trading platform or exchange and understand the threats specific to financial infrastructure — order book manipulation, transaction signing, wallet compromise, front-running. You can take a system, map the attack surface, and come back with findings that matter. You write clear reports that engineers act on, and you know the difference between a theoretical risk and a real one. You're comfortable working independently in a fast-moving team where there's no playbook — you write the playbook.

The Business Development team at Braze shapes future revenue success every day. It is the team at the forefront of identifying, understanding and helping potential customers build, enhance or transform their customer engagement offering.

Business Development Representatives (BDRs) at Braze grow into skilled commercial players and are trailblazers and action leaders when it comes to: 

• Identifying target accounts
• Developing email and phone campaigns
• Engaging C-suite prospects
• Demonstrating the value of Braze
• Qualifying early stage deals

BDR is a multi-faceted role, kept fresh and exciting by day-to-day priorities like building account strategies with Account Executives, discovery phone calls, meetings with leaders and executives across accounts, building personalized email sequences and attending events to generate new leads. The ultimate goal is to generate high quality relationships that transform into high quality new business opportunities.

Every individual has a personal quota, and shares a team goal. The team is collaborative, communicative and we are always the first to take action. There’s a lot of support and camaraderie with plenty of room to be proactive and take control of your own sales success. It is one of the most energetic, fun teams at Braze! 

BDRs gain huge value from working together at our amazing offices.  BDRs at Braze have a hybrid schedule, which means they will be in office a minimum of 3 days a week. This allows our team to thrive in a learning environment together.

WHAT YOU'LL DO

BDR is a high impact role. The BDR will research accounts, develop and action a communication plan (via phone, email, LinkedIn, video etc) to generate new business opportunities (pipeline). There are proven processes to follow, several intuitive user friendly tools to use and KPIs to keep momentum up. BDR’s prioritise outreach to prospects: the more relevant stakeholders we can speak with, the more likely we are to be successful in that account.

BDRs will manage their own meetings, and bring in other internal stakeholders as needed. They conduct high-level conversations with C-suite executives about their business goals, customer engagement and marketing challenges/opportunities with a view to understanding and ‘qualifying’ the opportunity. BDRs also deliver value-orientated pitches and solution demonstrations.

Ultimate success for a BDR is to generate the volume and value of deals required to hit their quota, and bring great new brands to Braze! This is done by meeting outreach KPIs, setting meetings and carrying out great discovery and qualification. The commission plan is uncapped, so once a BDR hits quota, they can keep on earning.

There is advancement potential for consistently successful BDRs, with personalized development plans, coaching and internal resources to plan for the next rewarding role at Braze.

WHO YOU ARE

• Adaptable
• Action orientated
• Precise and engaging communicator (written and verbal)
• Strong researcher
• Creative
• Problem solver
• Intellectually curious
• Self aware/coachable
• Intrinsically motivated
• Well organized and accountable
• Relentlessly tenacious

About Bridgewater  

Bridgewater Associates is a premier asset management firm, focused on delivering unique insight and partnership for the most sophisticated global institutional investors.  

Our investment process is driven by a tireless pursuit to understand how the world’s markets and economies work — using cutting-edge technology to validate and execute on timeless and universal investment principles.  

Founded in 1975, we are a community of independent thinkers who share a commitment to excellence. By fostering a culture of openness, transparency, and inclusion, we strive to unlock the most complex questions in investment strategy, management, and corporate culture.  

Explore more information about Bridgewater on our website here.  

Our Culture  

Our culture is anchored in excellence, meaning constant improvement, and it is deeply tied to our mission. Because markets are objective, competitive, and getting smarter everyday, we need to keep rapidly improving to have any chance of beating them. Truth is our most essential tool for engaging with the markets and constantly improving because once you know what's true about your problems and opportunities, you can determine how to get better. Valuing truth means being transparent about your decision-making and mistakes, giving and receiving feedback with humility, and fighting for the best answers over hierarchy, ego, or self-interest. Operating this way is hard – it's only possible because we build meaning in our work and relationships. This meaning comes from the audacity of the mission, and the joy of working alongside people who make you a better version of yourself. The culture, like Bridgewater itself, is always evolving. In 1997 our founder Ray Dalio wrote down his lessons, starting with a Philosophy Statement which remains our foundation. This later evolved into a set of 300+ Principles. In 2022, when Ray transitioned the company, we re-underwrote several of those principles and evolved others, with a specific focus on Meritocracy. Today the culture sits, alongside our people, as our most important edge. When we get it right, it’s the engine that powers everything else. 

About the Team 

This role sits in our Asia Strategies department. The goal of Asia Strategies is to continue our growth down the journey of being the premier investment management firm in the region. This entails developing great investment strategies reflecting our expertise, generating alpha in the markets, researching and publishing our understanding of the macroeconomic environment, and designing solutions to help our clients invest across the region. 

About Your Role  

We are seeking a Quantitative Researcher to join a PM-led pod focused on systematic macro and long/short equity strategies in APAC. You will work alongside the PM in a tight knit and fast paced environment with consistent exposure to a Bridgewater CIO. Your primary focus will be on alpha research with responsibilities along all aspects of the process from idea generation to data discovery, research and analysis, testing, portfolio optimization, and implementation. 

You will drive the following responsibilities:  

• Research & Development - Drive a systematic research process end to end including idea generation, data modeling, research/analysis, implementation, and industrialization. 

• Oversight & Monitoring – Continuously evolve our systematic oversight processes to understand drivers of risk, return, and views. Generate ideas to improve existing signals. Contribute ideas for discretionary trades and overlays to the portfolio. 

• Discovery – Identify and assess new datasets to identify their merit in our investment process. Follow and look to implement the latest developments in academic research. Experiment with new technologies to improve both our investment process and research and development environment. 

• Collaboration – Work across our data engineers, developers, and researchers to evolve our research platform and data ecosystem. Engage with the broader Asia strategies team to share observations and generate ideas. 

Interested in learning more about working at Bridgewater? Hear about the experiences of our employees here. 

You will be a click for the role if you: 

• Have a passion for financial markets 

• Have a drive to understand the fundamental cause and effect linkages that drive markets, companies, and economies. 

• Are intellectually curious and creative 

• Are proactive with a strong sense of urgency, desire to drive impact, and are comfortable working in a fast-paced environment 

• Are relentless in their pursuit of learning and development 

• Are non-hierarchical, willing to challenge the status quo, and seek to give and receive feedback openly (even when challenging) 

• Are passionate about compounding understanding 

• Are experimental with a drive to adopt new technologies and methods 

Minimum Qualifications 

• 1-4 years of work experience in quantitative research at a hedge fund, asset manager, or bank. Experience in systematic equities a plus. 

• Strong mathematical and statistical modeling skills (both time series and cross-sectional analysis) 

• Demonstrated proficiency in statistical languages (Python or R) and experience with database programming languages and environments (SQL and Snowflake) 

• Willingness to expand your toolkit to adapt to our Scala driven production stack.   

• Strong desire to work with new development assistant technologies to drive productivity.   

• Experience working with large, diverse, and alternative datasets 

• Experience working with factor models (both externally sourced and internally developed) 

• Experience with trading in Asian markets is preferred including (but not limited to) familiarity with Asia market's distinctive characteristics such as stamp cost, financing, and no short constraints. 

Physical Requirements  

• The anticipated onsite requirement for this role is four days per week at our New York City campus or in our Singapore office. 

Why Choose Bridgewater? 

It takes all types to make Bridgewater great. We seek a diverse group of innovative thinkers and push them to engage in rigorous and thoughtful inquiry. We develop people through an honest examination of their abilities and performance, enabling personal growth and professional development. We strive to provide you opportunities that will challenge you and unlock your potential. 

Compensation 

• The expected annual base salary for this position is $250,000-$300,000. The total compensation package includes variable compensation in the form of a discretionary target bonus.  

One of our core priorities at Bridgewater is to enable our employees to build a great life and career, and we believe our benefits are an important extension of that philosophy. As such, currently Bridgewater offers a competitive suite of benefits. Explore more information about Bridgewater’s benefits on our website here. 

Bridgewater reserves the right to change its current benefits program at any time, in a manner that is consistent with applicable federal and state regulations.  

This job description is not a contract and confers no contractual rights, privileges, or benefits on any applicant or potential applicant. Bridgewater has the right to change any and all terms of this job description, including, but not limited to, job responsibilities, qualifications and benefits. Nothing in this job description constitutes an offer or guarantee of employment. Please note that we do provide immigration sponsorship for this position.  

Bridgewater Associates, LP is an Equal Opportunity Employer   

About Bridgewater  

Bridgewater Associates is a premier asset management firm, focused on delivering unique insight and partnership for the most sophisticated global institutional investors.  

Our investment process is driven by a tireless pursuit to understand how the world’s markets and economies work — using cutting-edge technology to validate and execute on timeless and universal investment principles.  

Founded in 1975, we are a community of independent thinkers who share a commitment to excellence. By fostering a culture of openness, transparency, and inclusion, we strive to unlock the most complex questions in investment strategy, management, and corporate culture.  

Explore more information about Bridgewater on our website here.  

Our Culture  

Our culture is anchored in excellence, meaning constant improvement, and it is deeply tied to our mission. Because markets are objective, competitive, and getting smarter everyday, we need to keep rapidly improving to have any chance of beating them. Truth is our most essential tool for engaging with the markets and constantly improving because once you know what's true about your problems and opportunities, you can determine how to get better. Valuing truth means being transparent about your decision-making and mistakes, giving and receiving feedback with humility, and fighting for the best answers over hierarchy, ego, or self-interest. Operating this way is hard – it's only possible because we build meaning in our work and relationships. This meaning comes from the audacity of the mission, and the joy of working alongside people who make you a better version of yourself. The culture, like Bridgewater itself, is always evolving. In 1997 our founder Ray Dalio wrote down his lessons, starting with a Philosophy Statement which remains our foundation. This later evolved into a set of 300+ Principles. In 2022, when Ray transitioned the company, we re-underwrote several of those principles and evolved others, with a specific focus on Meritocracy. Today the culture sits, alongside our people, as our most important edge. When we get it right, it’s the engine that powers everything else. 

About the Team 

This role sits in our Asia Strategies department. The goal of Asia Strategies is to continue our growth down the journey of being the premier investment management firm in the region. This entails developing great investment strategies reflecting our expertise, generating alpha in the markets, researching and publishing our understanding of the macroeconomic environment, and designing solutions to help our clients invest across the region. 

About Your Role  

We are seeking a Quantitative Researcher to join a PM-led pod focused on systematic macro and long/short equity strategies in APAC. You will work alongside the PM in a tight knit and fast paced environment with consistent exposure to a Bridgewater CIO. Your primary focus will be on alpha research with responsibilities along all aspects of the process from idea generation to data discovery, research and analysis, testing, portfolio optimization, and implementation. 

You will drive the following responsibilities:  

• Research & Development - Drive a systematic research process end to end including idea generation, data modeling, research/analysis, implementation, and industrialization. 

• Oversight & Monitoring – Continuously evolve our systematic oversight processes to understand drivers of risk, return, and views. Generate ideas to improve existing signals. Contribute ideas for discretionary trades and overlays to the portfolio. 

• Discovery – Identify and assess new datasets to identify their merit in our investment process. Follow and look to implement the latest developments in academic research. Experiment with new technologies to improve both our investment process and research and development environment. 

• Collaboration – Work across our data engineers, developers, and researchers to evolve our research platform and data ecosystem. Engage with the broader Asia strategies team to share observations and generate ideas. 

Interested in learning more about working at Bridgewater? Hear about the experiences of our employees here. 

You will be a click for the role if you: 

• Have a passion for financial markets 

• Have a drive to understand the fundamental cause and effect linkages that drive markets, companies, and economies. 

• Are intellectually curious and creative 

• Are proactive with a strong sense of urgency, desire to drive impact, and are comfortable working in a fast-paced environment 

• Are relentless in their pursuit of learning and development 

• Are non-hierarchical, willing to challenge the status quo, and seek to give and receive feedback openly (even when challenging) 

• Are passionate about compounding understanding 

• Are experimental with a drive to adopt new technologies and methods 

Minimum Qualifications 

• 1-4 years of work experience in quantitative research at a hedge fund, asset manager, or bank. Experience in systematic equities a plus. 

• Strong mathematical and statistical modeling skills (both time series and cross-sectional analysis) 

• Demonstrated proficiency in statistical languages (Python or R) and experience with database programming languages and environments (SQL and Snowflake) 

• Willingness to expand your toolkit to adapt to our Scala driven production stack.   

• Strong desire to work with new development assistant technologies to drive productivity.   

• Experience working with large, diverse, and alternative datasets 

• Experience working with factor models (both externally sourced and internally developed) 

• Experience with trading in Asian markets is preferred including (but not limited to) familiarity with Asia market's distinctive characteristics such as stamp cost, financing, and no short constraints. 

Physical Requirements  

• The anticipated onsite requirement for this role is four days per week at our New York City campus or in our Singapore office. 

Why Choose Bridgewater? 

It takes all types to make Bridgewater great. We seek a diverse group of innovative thinkers and push them to engage in rigorous and thoughtful inquiry. We develop people through an honest examination of their abilities and performance, enabling personal growth and professional development. We strive to provide you opportunities that will challenge you and unlock your potential. 

Compensation 

• The expected annual base salary for this position is $250,000-$300,000. The total compensation package includes variable compensation in the form of a discretionary target bonus.  

One of our core priorities at Bridgewater is to enable our employees to build a great life and career, and we believe our benefits are an important extension of that philosophy. As such, currently Bridgewater offers a competitive suite of benefits. Explore more information about Bridgewater’s benefits on our website here. 

Bridgewater reserves the right to change its current benefits program at any time, in a manner that is consistent with applicable federal and state regulations.  

This job description is not a contract and confers no contractual rights, privileges, or benefits on any applicant or potential applicant. Bridgewater has the right to change any and all terms of this job description, including, but not limited to, job responsibilities, qualifications and benefits. Nothing in this job description constitutes an offer or guarantee of employment. Please note that we do provide immigration sponsorship for this position.  

Bridgewater Associates, LP is an Equal Opportunity Employer   

The Business Development team at Braze shapes future revenue success every day. It is the team at the forefront of identifying, understanding and helping potential customers build, enhance or transform their customer engagement offering.

Business Development Representatives (BDRs) at Braze grow into skilled commercial players and are trailblazers and action leaders when it comes to: 

• Identifying target accounts
• Developing email and phone campaigns
• Engaging C-suite prospects
• Demonstrating the value of Braze
• Qualifying early stage deals

BDR is a multi-faceted role, kept fresh and exciting by day-to-day priorities like building account strategies with Account Executives, discovery phone calls, meetings with leaders and executives across accounts, building personalized email sequences and attending events to generate new leads. The ultimate goal is to generate high quality relationships that transform into high quality new business opportunities.

Every individual has a personal quota, and shares a team goal. The team is collaborative, communicative and we are always the first to take action. There’s a lot of support and camaraderie with plenty of room to be proactive and take control of your own sales success. It is one of the most energetic, fun teams at Braze! 

BDRs gain huge value from working together at our amazing offices.  BDRs at Braze have a hybrid schedule, which means they will be in office a minimum of 3 days a week. This allows our team to thrive in a learning environment together.

WHAT YOU'LL DO

BDR is a high impact role. The BDR will research accounts, develop and action a communication plan (via phone, email, LinkedIn, video etc) to generate new business opportunities (pipeline). There are proven processes to follow, several intuitive user friendly tools to use and KPIs to keep momentum up. BDR’s prioritise outreach to prospects: the more relevant stakeholders we can speak with, the more likely we are to be successful in that account.

BDRs will manage their own meetings, and bring in other internal stakeholders as needed. They conduct high-level conversations with C-suite executives about their business goals, customer engagement and marketing challenges/opportunities with a view to understanding and ‘qualifying’ the opportunity. BDRs also deliver value-orientated pitches and solution demonstrations.

Ultimate success for a BDR is to generate the volume and value of deals required to hit their quota, and bring great new brands to Braze! This is done by meeting outreach KPIs, setting meetings and carrying out great discovery and qualification. The commission plan is uncapped, so once a BDR hits quota, they can keep on earning.

There is advancement potential for consistently successful BDRs, with personalized development plans, coaching and internal resources to plan for the next rewarding role at Braze.

WHO YOU ARE

• Must be able to speak Indonesian (Bahasa)
• Adaptable
• Action orientated
• Precise and engaging communicator (written and verbal)
• Strong researcher
• Creative
• Problem solver
• Intellectually curious
• Self aware/coachable
• Intrinsically motivated
• Well organized and accountable
• Relentlessly tenacious

Note: We are looking for candidates who are already based in Singapore as we will not be providing Visa sponsorship for this role.

Overview

This is an opportunity for an intermediate/senior level Offensive Security Professional to join our Product Security team. As an experienced researcher you will help maintain critical security systems within our architecture, as well as assisting the wider engineering and devops practices with their activities. In Product Security our mission is to continuously improve the security posture of BitMEX from the inside, and we are looking for someone capable and flexible who can work with our excellent staff on that mission!

A crypto trading exchange is a security environment that is fairly rare in the infosec industry: we regularly get attacked by nation-state APT groups, we have continuous attempts by everyone from script kiddies to our own users trying to find ways to illegitimately extract money from us, and we protect vast amounts of crypto. All at the same time having a software stack that requires extreme uptime, minimal latency, and absolute accuracy in how it takes and processes orders.

If you want to help protect an environment where the threats are very real and continuous, this is the job for you. We will check that you are not from the DPRK, be warned; it would not be the first (or second, or third) time.

Key Responsibilities

• Manage our bug bounty program, reviewing reports, engaging with researchers and cooperating with software engineering to fix bugs
• Reviewing the outcomes of external penetration tests, replicating issues and again, working with engineering to fix findings
• Conducting internal penetration tests on our software and infrastructure stack
• Red and purple team exercises to test our monitoring
• Security research & threat Intelligence, working with security response
• Application security & code reviews, internal training of engineers
• Being part of incidents to help triage and investigate issues

Qualifications

• 5+ Years in Information Security.
• Proven expertise in offensive security either through certifications, recognition, or referees.
• Strong communication skills and work ethic: contribute actively to the company and become ‘known’
• Candidates with less experience will be considered for an Offensive Security Engineer position.

Nice to have

• Experience with Kubernetes, Istio, Envoy and the AWS cloud platform would be useful. Advanced skills in these (and affiliated technologies) are a bonus but not required.
• Experience with GitHub CI/CD / Actions and/or ArgoCD is a bonus but not required
• Experience with derivatives and cryptocurrency is a bonus but not required.
• Development expertise in Go is a bonus but not required

Why BitMEX?

BitMEX offers a dynamic environment that blends intense work, a vibrant culture, and diversity. We actively recruit across time zones to meet growing demands and attract top global talent.

We're seeking determined, responsible, and collaborative individuals to join us in building a leading cryptocurrency ecosystem. We value meticulousness, agility, and simplicity. As a 24/7 global exchange, we look for adaptable team players who can excel in a diverse, cross-market environment.

We provide flexible arrangements to our remote contract talents with:

• Work from home to help you find the perfect balance between work, family and personal life
• Paid holidays and leave so you won’t miss out any important events
• Team building & offsite events to bring our global team closer
• Don’t forget the advantage of our Beyond Border Remote Working policy, where you get to work away from your home country
• Option to choose to be paid in fiat or crypto currency, providing the flexibility to shape your financial freedom

#LI-CH1

Overview

This is an opportunity for an intermediate/senior level Offensive Security Professional to join our Product Security team. As an experienced researcher you will help maintain critical security systems within our architecture, as well as assisting the wider engineering and devops practices with their activities. In Product Security our mission is to continuously improve the security posture of BitMEX from the inside, and we are looking for someone capable and flexible who can work with our excellent staff on that mission!

A crypto trading exchange is a security environment that is fairly rare in the infosec industry: we regularly get attacked by nation-state APT groups, we have continuous attempts by everyone from script kiddies to our own users trying to find ways to illegitimately extract money from us, and we protect vast amounts of crypto. All at the same time having a software stack that requires extreme uptime, minimal latency, and absolute accuracy in how it takes and processes orders.

If you want to help protect an environment where the threats are very real and continuous, this is the job for you. We will check that you are not from the DPRK, be warned; it would not be the first (or second, or third) time.

Key Responsibilities

• Manage our bug bounty program, reviewing reports, engaging with researchers and cooperating with software engineering to fix bugs
• Reviewing the outcomes of external penetration tests, replicating issues and again, working with engineering to fix findings
• Conducting internal penetration tests on our software and infrastructure stack
• Red and purple team exercises to test our monitoring
• Security research & threat intelligence, working with security response
• Application security & code reviews, internal training of engineers
• Being part of incidents to help triage and investigate issues

Qualifications

• 5+ Years in Information Security.
• Proven expertise in offensive security either through certifications, recognition, or referees.
• Strong communication skills and work ethic: contribute actively to the company and become ‘known’
• Candidates with less experience will be considered for an Offensive Security Engineer position.

Nice to have

• Experience with Kubernetes, Istio, Envoy and the AWS cloud platform would be useful. Advanced skills in these (and affiliated technologies) are a bonus but not required.
• Experience with GitHub CI/CD / Actions and/or ArgoCD is a bonus but not required
• Experience with derivatives and cryptocurrency is a bonus but not required.
• Development expertise in Go is a bonus but not required

Why BitMEX?

BitMEX offers a dynamic environment that blends intense work, a vibrant culture, and diversity. We actively recruit across time zones to meet growing demands and attract top global talent.

We're seeking determined, responsible, and collaborative individuals to join us in building a leading cryptocurrency ecosystem. We value meticulousness, agility, and simplicity. As a 24/7 global exchange, we look for adaptable team players who can excel in a diverse, cross-market environment.

In addition, we offer an industry leading benefits package to our permanent employees. Here’s a peek into what we offer:

• Work from home to help you find the perfect balance between work, family and personal life
• 25 days of annual leave, on top of public holidays, as well as maternity, paternity and childcare leave… etc to accommodate your growing responsibilities
• A top tier & comprehensive medical, dental and vision policy for you and your dependents
• Professional development allowance to support your career advancement
• Access to our annual wellness benefits to cultivate your physical and mental growth
• Don’t forget the advantage of our Beyond Border Remote Working policy, where you get to work away from your home country
• Team building & offsite events to bring our global team closer
• Life insurance coverage to provide a safety net for your family’s future

#LI-CH1

Description:

Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a Quantitative Researcher for our team in Singapore. This team trades across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition to statistical inference analysing terabytes of data to come up with ideas to identify pricing anomalies in financial markets.

As a Quantitative researcher your responsibilities will include

• Develop new or improve existing trading models using in-house platforms
• Use advanced mathematical techniques to model and predict market movements
• Analyse large financial datasets to identify trading opportunities
• Provide real time analytical support to experienced traders

Requirements :

• Possess a degree in a highly analytical field, such as Engineering, Mathematics, Computer Science from top ranked universities 
• Quantitative bent of mind
• A working knowledge of Linux/Unix
• Programming experience, preferably in C++ or C
• No prior knowledge of financial markets is needed but must have a strong interest in learning about financial markets.
• Have a strong work ethics

Benefits:

Our open and casual work culture gives you the space to innovate and deliver. Our cubicle free offices , disdain for bureaucracy and insistence to hire the very best creates a melting pot for great ideas and technology innovations. Everyone on the team is approachable, there is nothing better than working with friends!

Our perks have you covered.

• Competitive compensation
• 4 Weeks of paid vacation
• Regular after work parties
• Top of the line health insurance for family 
• International team outing

Who We Are

#LI-ONSITE

Who We Are

#LI-ONSITE

Jump Crypto is committed to building and standing up critical infrastructure needed to catalyze the growth of the crypto ecosystem. We're builders, partners, and traders who take a long-term view of crypto's prospects and operate to unlock the full potential of open, community-driven networks. Since our inception as a skunkworks intern project in late 2015, we've grown into a dynamic and seasoned team of high performing players across a range of functions. Today, we play an important role in the development of some of the largest and most innovative crypto communities.

Jump Crypto is the crypto division of Jump Trading Group, a research driven quantitative trading firm that's one of the largest traders by volume across traditional asset classes.  For more on our history, culture and the road ahead read our blog here. To learn more, please visit us at www.jumpcrypto.com and follow us at @JumpCryptoHQ.

As a Trader, you have an opportunity to join a dynamic group of people focused on researching, interpreting and capitalizing on the global trading markets. The ideal candidate for this position will be interested in learning how they can apply their skills in a quantitative trading environment. You should have a can-do attitude around supporting the team in a variety of ways and be motivated by this chance to learn and work alongside a team of experienced traders and technologists. As a trader you will be working 4 days a week (Sun-Wed OR Wed-Sat) alongside others trading this 24/7 asset class.

What You’ll Do:

• Familiarity and interest in all lines of the business (outside trading); willingness to understand business priorities and to adapt.
• Execution of trading strategies.
• Monitor trading positions and work with clearing and operations team to reconcile trades and position breaks throughout the shift.
• Build and maintain DevOps toolkit for the production trading system including configuration management, process management, deployment, monitoring, data collection, and analysis.
• Troubleshooting production trading issues, improving trading desk processes.
• Proficiency in (or ability to learn about) quant trading efforts, exchange trading setups, and any trading-related areas.
• Should own and take responsibility for team-wide projects beyond day-to-day trading coverage.
• Other duties as assigned or needed.

Skills You’ll Need:

• Interest in cryptocurrencies and an understanding of the various currencies, exchanges, etc. is preferred.
• Comfortable with Python and the ability to write and understand simple to moderate scripts.
• Familiarity with a Linux environment.
• Ability to successfully manage multiple tasks in a fast-paced environment.
• Excellent English communication skills, both written and oral.
• Demonstrated ability to exercise discretion in making decisions.
• Aptitude and preference for working in a highly collaborative environment.
• At least 3+ years trading experience.
• Reliable and predictable availability.

Jump Crypto is committed to building and standing up critical infrastructure needed to catalyze the growth of the crypto ecosystem. We're builders, partners, and traders who take a long-term view of crypto's prospects and operate to unlock the full potential of open, community-driven networks. Since our inception as a skunkworks intern project in late 2015, we've grown into a dynamic and seasoned team of high performing players across a range of functions. Today, we play an important role in the development of some of the largest and most innovative crypto communities.

Jump Crypto is the crypto division of Jump Trading Group, a research driven quantitative trading firm that's one of the largest traders by volume across traditional asset classes.  For more on our history, culture and the road ahead read our blog here. To learn more, please visit us at www.jumpcrypto.com and follow us at @JumpCryptoHQ.

As a Trader, you have an opportunity to join a dynamic group of people focused on researching, interpreting and capitalizing on the global trading markets. The ideal candidate for this position will be interested in learning how they can apply their skills in a quantitative trading environment. You should have a can-do attitude around supporting the team in a variety of ways and be motivated by this chance to learn and work alongside a team of experienced traders and technologists. As a trader you will be working 4 days a week (Sun-Wed OR Wed-Sat) alongside others trading this 24/7 asset class.

What You’ll Do:

• Familiarity and interest in all lines of the business (outside trading); willingness to understand business priorities and to adapt.
• Execution of trading strategies.
• Monitor trading positions and work with clearing and operations team to reconcile trades and position breaks throughout the shift.
• Build and maintain DevOps toolkit for the production trading system including configuration management, process management, deployment, monitoring, data collection, and analysis.
• Troubleshooting production trading issues, improving trading desk processes.
• Proficiency in (or ability to learn about) quant trading efforts, exchange trading setups, and any trading-related areas.
• Should own and take responsibility for team-wide projects beyond day-to-day trading coverage.
• Other duties as assigned or needed.

Skills You’ll Need:

• Interest in cryptocurrencies and an understanding of the various currencies, exchanges, etc. is preferred.
• Comfortable with Python and the ability to write and understand simple to moderate scripts.
• Familiarity with a Linux environment.
• Ability to successfully manage multiple tasks in a fast-paced environment.
• Excellent English communication skills, both written and oral.
• Demonstrated ability to exercise discretion in making decisions.
• Aptitude and preference for working in a highly collaborative environment.
• At least 3+ years trading experience.
• Reliable and predictable availability.