Research Technology Support Jobs

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: The integration team is responsible for developing and scaling machine learning algorithms and infrastructure for LLM post-training, with a focus on large-scale, distributed RL methods. We strive for excellence in both engineering and science by meticulously designing experiments and design docs. While tasks are assigned according to everyone’s expertise, there is a global team effort to write production code and support the team research efforts, depending on individual interests and organizational needs. In particular, this role aims to enhance the global quality of the post-training codebase by implementing new tools to ease and support research, optimizing post-training algorithms, and scaling distributed RL to unprecedented levels. Please Note: We have offices in London, Paris, Toronto, San Francisco, New York but we are also remote-friendly! Applicants for this role may work anywhere between UTC−06:00 and UTC+01:00. Key Responsibilities: Design and write high-performing and scalable software for training models. Develop new tools to support and accelerate research and LLM training. Coordinate with other engi

ABOUT PROPRIETARY RESEARCH On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions our investment professionals care about most. We look for other bright, motivated, and collaborative people to join our team and grow with us—more than 90% of the leaders in our group were promoted from within. WHAT YOU'LL DO Senior Data Engineers on the Proprietary Research team design and build solutions that enable investment professionals to effortlessly extract insights from large, complex structured and unstructured data sets. As a senior member of our Data Engineering team, you will help set technical direction and work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end data pipelines and tools that that help extract the most value out of Point72’s data assets. In this role, you will: Develop and support big data processing pipelines including but not limited to ingestion, transformation, and end-customer delivery Build out cloud-based infrastructure using distributed techniques for other data engineers / data scientists / researchers Be at the forefront of new technology developments with respect to the handling and processing of big data and conduct proof of concepts evaluations of new technologies Build and support visualization and exploration capabilities around our big data sets WHAT EXCITES YOU Technical leadership through hands-on development Having a broad impact on architecture and team processes Transforming

ABOUT PROPRIETARY RESEARCH On our proprietary research team—Market Intelligence—you’ll partner with our investment professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions posed by our investment professionals. We look for other bright, motivated, and collaborative people to join our team and grow with us—more than 90% of the leaders in our group were promoted from within. ROLE SUMMARY Data Engineers on the Proprietary Research team design and build solutions that enable investment professionals to effortlessly, extract insights from large, complex compliance approved structured and unstructured data sets. As a member of our Data Engineering team, you will work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end data pipelines and tools that that help extract the most value out of Point72’s data assets. In this role, you will: Develop and support big data processing pipelines including but not limited to ingestion, transformation, and end-customer delivery Build out cloud-based infrastructure using distributed techniques for other data engineers / data scientists / researchers Be at the forefront of new technology developments with respect to the handling and processing of big data and conduct proof of concepts evaluations of new technologies Build and support visualization and exploration capabilities around our big data sets WHAT EXCITES YOU Transforming large unstructured, data sets into valuable investment research inputs Learning and working with industry-leading cloud-computing technologies Speaking wit

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: ABOUT LINGO: Abbott's rich history in developing cutting-edge health technologies is evolving with its new venture into biowearables. The biowearables segment is poised to represent the future of the organization, with the potential to generate over $1 billion in revenue within the next five years, supported by Abbott’s robust R&D and financial resources. At Lingo, we are committed to transforming health management with our cutting-edge biowearables that monitor glucose levels and other critical metabolic biomarkers. Our products integrate world-class heath technology with the best of biological and behavioral to provide personalized insights that improve metabolic well-being. This is your opportunity to be at the forefront of health innovation and make a significant impact on people’s lives. WORKING AT ABBOTT: At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to: Career development with an international company where you can grow the career you dream of. Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan. An excellent retirement savings plan with high employer contribution Tuition reimbursement, the Freedom 2 Save student debt program

Build something people love Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work . About the team The Investment Research Team is at the core of every investment product designed at Wealthsimple. Our team combines deep market expertise with strategic vision, developing best-in-class investment strategies that serve our growing client base. We analyze financial products and securities with a data-driven approach, ensuring our offerings meet client needs while aligning with our mission to empower people with financial freedom. What you'll do Conduct thorough daily order reviews for algorithm-generated trades across managed portfolios to verify accuracy and ensure abnormal order resolution prior to submission to the trade desk. Perform systematic, regular reviews of managed accounts to proactively identify and resolve operational bottlenecks, workflow friction, and systemic trading issues. Apply a disciplined, process-oriented, and operational mindset to execute daily portfolio management and trading support tasks reliably and efficiently. Collaborate closely with internal trading desks, investment operations, and product teams to streamline trade execution workflows and enhance portfolio tracking capabilities. Skills you bring 1-2 years of professional experience in portfolio operations, trade execution, or financial analysis within a modern financial institution or fintech setting. Strong analytical thinking and quantitative

Quant Library Developer, Macro Technology. A Career with Point72’s TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one, helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity; all while delivering real business impact for our multi-billion-dollar global business. What you’ll do Design, build, and extend core C# analytics services, APIs, and libraries used across the Macro business. Develop and operate high-performance distributed systems with strong guarantees around correctness, latency, and scalability. Build real-time and historical analytics services supporting pricing, risk, and global market data workflows. Design and maintain time-aware (historical and real-time) data models and services, ensuring consistency across analytics use cases. Develop and integrate derived data pipelines and datasets used in research, backtesting, and production analytics. Contribute to API design, data modeling, and system architecture for shared analytics platforms. Integrate analytics services with batch and streaming data pipelines across research and trading workflows. Partner closely with quants and portfolio managers to translate investment requirements into robust platform capabilities. Contribute to

Position Summary We are seeking a strategic, analytical, and highly collaborative leader to serve as our Associate Director/Senior Manager of Health Economics & Outcomes Research (HEOR) Oncology. In this high-impact role, you will lead the development and execution of health economic and outcomes evidence demonstrating the clinical and economic value of Natera’s precision molecular diagnostic technologies across oncology and emerging indications. You will develop health economic models, generate real-world and clinical-trial evidence, lead HEOR publication initiatives, and translate complex clinical and economic data into compelling evidence supporting market access, reimbursement, payer adoption, clinical adoption, and commercialization. Working across Medical Affairs, Clinical Development, Biostatistics, Market Access, Commercial, Marketing, Regulatory, and Business Development, you will help integrate HEOR evidence throughout the product lifecycle—from clinical development and evidence generation through publication, reimbursement, and payer adoption. This is a strategic role for an experienced HEOR professional who combines strong technical capabilities with scientific communication, business acumen, and the ability to influence cross-functional evidence strategy. Why Join Us At Natera, you will have the opportunity to shape the economic evidence strategy supporting innovative precision diagnostics and biomarker-guided approaches to patient care. You will work at the intersection of clinical evidence, health economics, market access, and commercialization, translating clinical innovation into measurable value for patients, providers, health systems, and payers. You will collaborate with internal leaders, investigators, key opinion leaders, and external research partners to generate evidence capable of influencing reimbursement decisions, clinical adoption, health technology assessments, and healthcare policy across U.S. and global markets. Key Responsibiliti

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Your Location This position is CHINA BASED. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies. The Community You Will Join: Community Support (CS) has increasingly become a key driver of enabling Airbnb's core business. The Community Support Engineering team is responsible for the world-class technology, architecture, and solutions that power CS at Airbnb. The products and capabilities we build empower our guests and hosts, CS agents, and operations teams around the world. As part of the CS Product vision, we are leveraging AI to transform how we deliver customer service - combining advanced ML/LLM capabilities with the expertise of our Support Ambassadors to create a seamless, high-quality support experience. The Difference You Will Make: As an ML Manager within Community Support Product Engineering in China, you will lead a team of machine learning engineers to research, design, and optimize AI models and services that scale AI-powered products and measurably improve the end-to-end Community Support experience for guests, hosts, and support ambassadors. What You’ll Do: Hire, mentor and guide a dynamic team of highly skilled machine learning engineers, fostering their technical growth and professional development. Proactively take initiatives to drive for outcomes over the scope of the team. Build relationships and drive alignment with stakeholders within

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

Software Engineer Build technology where every nanosecond matters. At Graviton, software isn't just a tool that supports trading. It is the infrastructure behind every research breakthrough, every trading decision and every competitive advantage. As a Software Engineer , you'll work on systems where performance, reliability and precision matter at an extraordinary scale. You'll partner closely with software engineers and quantitative researchers to build technology that processes enormous volumes of market data, powers quantitative research and supports live trading. You'll take on problems that don't have obvious answers — from designing high-performance systems and distributed infrastructure to eliminating bottlenecks measured in microseconds and building tools that make our researchers and engineers faster. Your work will go into production, be measured against real-world performance and have a direct impact on how our trading systems operate. If you enjoy solving hard engineering problems, understanding systems at a deep level and pushing technology to its limits, you'll feel right at home. What You'll Work On You'll work across the engineering stack that powers our quantitative research and trading platforms. Depending on your team, your work may include: Designing and building high-performance, low-latency systems in modern C++. Building distributed systems that process and analyze massive volumes of market data . Designing systems where latency, throughput and reliability directly influence trading performance . Working on Linux systems, networking, concurrency and multithreaded applications. Profiling systems, identifying bottlenecks and optimizing performance at the hardware and software level. Building robust infrastructure that supports quantitative research and live trading. Debugging complex production systems and solving problems where correctness and reliability are critical. Designing internal platforms and developer tools that accelerate research an

NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes. About the Role: We are hiring a Graduate or CA Inter-qualified professional with a strong foundation in accounting, bookkeeping, taxation, and statutory compliance. This role is ideal for someone looking to apply their academic knowledge in a real-world, fast-moving financial services environment. You will play an active role in maintaining books of accounts, assisting with audits, preparing reports, and supporting financial operations in a broking environment. Key Responsibilities: Accounting & Bookkeeping: Maintain day-to-day accounting entries in Tally/ERP. Prepare journal entries, accruals, and ledger reconciliations. Ensure timely closure of books and preparation of trial balances. Banking & Reconciliations: Handle daily bank reconciliations and monitor fund flows. Reconcile intercompany and client accounts periodically. Track outstanding balances and coordinate for settlements. Statutory & Regulatory Compliance: Assist in preparing GST returns, TDS workings, and other tax compliances. Work on preparation and filing of ROC and SEBI-related documents under guidance. Coordinate with consultants/auditors for monthly and annual audits. MIS & Reporting: Prepare MIS reports, cash flow statements, and expense trackers. Assist senior finance team in budgeting and variance analysis. Ensure accuracy and timeliness in all financial reporting activities. Qualifications & Skills: Graduate or Semi-Qualified CA (CA Inter) Prior experience in a CA firm Hands-on experience with Tally Prime Good working knowledge of TDS, GST, and statutory/compliance filings Exposure to accounting, taxation, and regulatory compliance Strong analytical and problem-solving skills Ability to work

NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes. We are seeking a Network Infrastructure Manager to lead our network operations, ensure setup, maintenance, reliability, and optimize performance to support our trading activities. Key Responsibilities: As a Network Infrastructure Manager, you will be responsible for designing, implementing, and managing the firm’s network infrastructure to ensure high availability, low latency, and security. You will collaborate with trading, systems, and development teams to meet the demanding requirements of algorithmic trading and maintain seamless exchange connectivity. Design and implement network infrastructure in colocation for low latency exchange connectivity Design and implement network infrastructure for inter and intra data centres Develop scalable network architectures to accommodate growing business requirements Optimize network performance for local, wide-area, and data center networks. Oversee daily network operations, ensuring 24/7 network availability and minimal downtime. Manage network related hardware such as switches, routers, and firewalls across multiple data centers. Lead incident response for network issues, identifying root causes and implementing solutions. Develop and maintain tools for real-time network monitoring and performance analysis. Optimize configurations for minimal packet loss, latency, throughput and jitter. Evaluate and implement new technologies to improve network efficiency and reliability. Ensure network security by managing firewalls, VPNs, and intrusion detection systems. Collaborate with compliance teams to ensure adherence to regulatory requirements. Implement best practices for securing sensitive trading data and infrastructure. Work closely with trading, develop

NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes. Responsibilities: As a Quantitative Researcher, you will: • Develop and enhance trading models using our in-house platform • Analyze extensive financial data sets to unearth trading opportunities • Provide analytical support to our experienced traders • Develop predictive models for market movements • Mentor interns and freshers, grooming them as future teammates Qualifications: The ideal candidate will possess: A degree in Computer Science, Mathematics, or Engineering from a leading institution. 0-4 years of relevant work experience. Exceptional analytical and problem-solving skills. Proficiency in programming, particularly in C++ or C. Working knowledge of Linux, Python, and shell scripting. A curious mindset and a passion for understanding complex systems. A disciplined and consistent work ethic. Strong communication and interpersonal skills. Previous experience in a startup or the High-Frequency Trading (HFT) industry will be an added advantage. What We Offer: Competitive salary package Opportunity to work in a dynamic and collaborative environment Career growth and development opportunities Catered breakfast and lunch Annual international and domestic trips Monthly team dinners

NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes. Responsibilities: As a Quantitative Researcher, you will: • Develop and enhance trading models using our in-house platform • Analyze extensive financial data sets to unearth trading opportunities • Provide analytical support to our experienced traders • Develop predictive models for market movements • Mentor interns and freshers, grooming them as future team mates Qualifications: The ideal candidate will possess: A degree in Computer Science, Mathematics, or Engineering from a leading institution. 4+ years of relevant work experience. Exceptional analytical and problem-solving skills. Proficiency in programming, particularly in C++ or C. Working knowledge of Linux, Python, and shell scripting. A curious mindset and a passion for understanding complex systems. A disciplined and consistent work ethic. Strong communication and interpersonal skills. Previous experience in a startup or the High-Frequency Trading (HFT) industry will be an added advantage. What We Offer: Competitive salary package Opportunity to work in a dynamic and collaborative environment Career growth and development opportunities Catered breakfast and lunch Annual international trip Monthly team dinners

NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes. Responsibilities: The Associate will report to the Company’s Head of Business Management. They will work closely with the firm’s senior management on a variety of tasks, including: Supervising repairs and upgradation of hardware and connectivities Downloading holdings files and daily stock reconciliation Helping support the day-to-day business operations of the company Monitoring Live Trading Strategies Completing other tasks as assigned by senior management Weekend availability is a must for this role Mandatory Requirement: NISM-Series-XVI: Commodity Derivatives Certification Qualifications: The ideal requirements for our candidates are: Excellent communication skills and fluency in English for business purposes A demonstrated ability to take ownership of projects and to lead them independently to successful conclusions Strong experience of using end user computing tools like Microsoft office and other equivalent products Professional experience in a related field (e.g bank, trading venue, or a trading firm) is a plus Benefits: NK Securities Research offers compensation above industry standards for deserving candidates. We are a fast-growing organisation where there is no ceiling on the career trajectory of an individual. The startup style governance of the firm enables the newest employees to work with industry veterans.