Systems Analyst in Singapore

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Payments organization owns some of Stripe's most critical payment flows and a platform that processes hundreds of billions of dollars in payments a year. Our team is responsible for translating complex partner specifications related to network costs (interchange and scheme fees) into simplified logic for internal and external consumption. This also drives decisions and product recommendations to manage the underlying network costs paid by Stripe and our users. The team partners closely with the engineering, product, finance, and partnership groups to manage and understand Stripe's network costs. Our work is core to Stripe's business, as Technical Operations roles in Payments are a dynamic and key component of Stripe's success. We sit at the intersection of product and platform engineers and financial partners, connecting them to ensure that everyone thrives and nothing is lost in translation. What you'll do We're looking to add payment enthusiasts who enjoy interpreting complex cost structures and ever-changing payment network systems to optimize on behalf of Stripe and our users. You'll be instrumental in building Stripe's approach to managing our global network cost base. Responsibilities • Collaborate across the company, including engineering, accounting, financial partnerships, and product teams, to analyze billions of dollars moving through the Stripe platform • Translate network specifications into implementation instructions to cr

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Strategic Supportability Operations (SSO) sits within Risk Operations and User Policy Operations. Our team is focused on protecting and advancing Stripe's business, brand, and mission by deploying industry-leading supportability solutions that instill user and partner trust in Stripe, while enabling progressive and sustainable business growth. Unlike other Risk Operations teams, SSO handles the most complex, high-stakes, and ambiguous user business cases—ones that require deep investigation, custom risk analysis, and creative problem-solving at the intersection of user experience, compliance, financial partner requirements, and Stripe's growth ambitions. What you'll do As a Risk Operations Analyst on the Strategic Supportability Operations team, you will investigate and assess complex, gray-area user business cases that require deep risk judgment and tailored solutions. You will go beyond standard procedures to understand the full risk profile of users, develop custom recommendations, and collaborate across internal teams to drive cohesive, well-reasoned decisions. You will also play a key role in identifying patterns across individual cases to improve our processes, policies, and detection systems at scale—bridging tactical casework with strategic, systemic impact across Risk Operations. Responsibilities • Investigate complex, high-risk, and gray-area user business cases, applying deep risk knowledge to make sound, non-binary judgments. • N

About the Team At OpenAI, our Trust, Safety & Risk Operations teams safeguard our products, users, and the company from abuse, fraud, scams, regulatory non-compliance, and other emerging risks. We operate at the intersection of operations, compliance, user trust, and safety working closely with Legal, Policy, Engineering, Product, Go-To-Market, and external partners to ensure our platforms are safe, compliant, and trusted by a diverse, global user base. The Global Safety Response Operations team within the org provides 24/7 coverage for user safety, risk, and regulatory escalations across OpenAI’s products, handling the highest-priority cases that require human judgment and rapid response. The team operates as the core escalations management and delivery arm of OpenAI’s safety operations, ensuring that our products remain safe and aligned with our policies while enabling timely, empathetic, and consistent user support. About the Role We’re looking for experienced Trust, Safety, and Risk Operations analysts who have subject matter expertise in one or more of the following areas: policy enforcement and content moderation, fraud and scam prevention, developer risk, or privacy and regulatory escalations. You’ll be on the front lines of safety escalation management, helping to triage and resolve urgent and sensitive cases. You’ll work across subject matter areas, systems, and processes to ensure operational excellence, develop process improvements and automations, and surface insights and trends. This role is part of a 24/7 global operation team and will be expected to work a standard 5x8 work week, which includes covering the weekend shift each week (e.g., work weeks covering Saturday - Wednesday) We use a hybrid work model of 3 days in the Singapore office per week and offer relocation assistance to new employees. Please note: This role may involve exposure to sensitive content, including material that is sexual, violent, or otherwise disturbing. In This Role, You

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. What you’ll work on Collaborating closely with traders to translate research insights into systematic trading strategies Designing, developing and deploying models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Building robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Owning models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we’re looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuit

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. Position: E-commerce Data Analysts 5 Work Days Per Week Office Near Tai Seng MRT, Singapore Medical Benefits Provided Entitled to Yearly Bonus & Performance Bonus Background of E-Commerce Team Our e-commerce platform focus on Reolink Official Website & Amazon for different region particularly for the Australia and Europes & United States. Responsible driving business decisions through data analysis and visualization, job scopes include: Driving actionable insights: Analyzing data to generate insights that improve performance, profitability, and guest experience across various e-commerce platforms. Data analysis and reporting: Building data pipelines, self-service dashboards, and developing new in-house API features to drive growth and extend reach into other ecosystems/platforms. Collaboration with teams: Working with product management, engineering, and design teams to ensure data-driven decisions align with business goals. Data quality and integrity: Validating data quality, investigating data issues, and collaborating with data engineering teams to improve data pipelines and definitions. Supporting business decisions: Providing professional data support for business product decisions in e-commerce scenarios and building an e-commerce product metric system. E-commerce Data Analysts play a crucial role in the e-commerce industry, leveraging data to enhance business strategies a

About Graviton Research Capital: Graviton Research Capital is a cutting-edge high-frequency trading (HFT) firm that leverages technology, quantitative research and algorithms to trade in global markets. Our team consists of world-class technologists, researchers and traders who collaborate to push the boundaries of automated trading. Role Overview : We’re looking for a Central Execution Trader to join our Singapore team. This role interfaces with, and acts as the communication hub for all brokers and exchanges on behalf of the firm externally, as well as technology, quantitative researchers, risk management, compliance, and business development teams internally. In this role, you’ll be building and refining systems that keep our live trading running flawlessly—where milliseconds make the difference. From designing real-time monitoring tools to automating critical workflows, you’ll be at the heart of ensuring smooth and efficient trade execution. Key Responsibilities: Act as the first line of defense in the events of alerts, rejects, and outages, and act as the primary point of contact for brokers and exchanges as the run point on all live issues that impact trading, undertaking risk-reducing trades when required, and ensuring end of day processes. Build and enhance real-time trade monitoring systems for live and post-trade environments, driving faster data analysis and quicker issue resolution. Automate critical processes like position reconciliation, and locates borrowing, cutting down manual effort and boosting operational efficiency. Conducted advanced trading algorithm analyses, optimizing execution strategies to improve trading efficiency. Leveraged expertise in systematic trading systems to enhance financial data management and operational efficiency. Work closely with traders, exchanges/PBs, developers and risk managers to enhance operational workflows and reduce processing times. Supported trade operations by monitoring and resolving trade discrepancie

ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. ROLE Dynamically managing portfolio risk by evaluating historical and real-time strategy performance. Overseeing automated trade execution and monitoring transaction costs. Supervising a small team of researchers and developers on a daily basis. Designing, researching, and managing sophisticated investment strategies by creating and engineering advance quantitative financial computer modeling systems to aid in analysis and research. Performing research to acquire historical and production data sources needed to build investment models. Designing and developing quantitative mathematical algorithms to link the diverse data sets from various providers. Engineering investment models that will make the buy and sell recommendations for the portfolios using advanced quantitative mathematic statistics and investment theory to design and program strategies that explicitly forecast risk, return, and trading costs. Using quantitative models to value securities. Conducting ongoing, cutting-edge quantitative research and analysis to enhance existing strategies and to expand into new markets. Developing aspects of successful statistical models, focusing on forecasting and optimization. Expanding trading universe and volume and expanding to other exchanges and products. REQUIREMENTS Advance degree (Masters or Ph.D.) in a computational or analytical field. Minimum of 10 years’ experience developing, researching or implementing quantitative models for equities, futures and/or FX. Hands on experience with all aspects of the research process, including methodology section, data collection and analysis, testing,

Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a Senior Quantitative Trader for our team in Singapore. We trade across a multitude of asset classes and trading venues with significant market share and constantly seeking to replicate our successes to newer exchanges and products. As a Senior Quantitative Trader your responsibilities will include Develop and deploy completely automated systematic strategies with short holding periods and high turnover Typical strategies deployed include Alpha-seeking strategies and Market Making Rigorously back-test strategies on in-house research infrastructure Graviton can offer a successful Quantitative Trader Exceptional financial rewards Friendly and collegial working environment Access to advanced trading systems for low-latency execution of strategies Excitement of being a part of a new expanding trading business Requirements : Deep experience in HF/UHF Trading Live HF Trading experience for at least 2 years. PnL Track record with excellent sharpe ratios. Programming experience in C++ or C Proficiency in using Python, R, or Matlab for statistical/data analysis of HFT tick data Possess a degree in a highly analytical field, such as Engineering, Mathematics, Computer Science 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

About BlockTech As a Quantitative Trader on our Singapore trading floor, you’ll own positions and PnL end-to-end from interpreting live market flow and liquidity through tuning and intervening in our automated systems, all the way to shaping the next generation of execution logic and trading tools. You’ll sit shoulder-to-shoulder with Quantitative Researchers, Quantitative Developers, and Software Engineers, and your decisions will directly drive how we trade across venues. The role Managing and monitoring Delta1 positions across multiple venues, owning the PnL and risk that comes with them Reading live market flow, liquidity conditions, and market events, and translating that read into concrete trading and execution decisions Tuning and parameterising our automated and semi-automated systems, and knowing when to step in to manage risk or capture an opportunity Improving execution quality and market-making performance through data-driven analysis of strategy behaviour Designing and specifying the trading tools, dashboards, and analytics that the desk relies on to make decisions Collaborating closely with researchers, developers, and engineers to sharpen models, infrastructure, and execution logic, and shaping the roadmap for new trading initiatives What we’re looking for 3+ years of experience as a Quantitative Trader and/or Quantitative Researcher in a professional trading environment, with demonstrated PnL responsibility on linear (Delta1) products across multiple venues Hands-on experience operating automated and semi-automated trading systems under live conditions: monitoring, tuning, and intervening when it matters Strong analytical instincts: you can take a messy dataset of fills and quotes and turn it into a concrete execution improvement A deep, intuitive grasp of market microstructure and the ability to explain why a strategy works, not just that it does Proficiency in Python for analysis, tooling, and interaction with trading systems An ownership mindset:

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for a product manufacturing engineer, who will be responsible for driving technical initiatives related to manufacturing to ensure product success from concept to launch and through mass production with a specific focus on PCB and PCBa manufacturing and process. You’ll have the opportunity to work with a wide range of stakeholders, from design engineering and operations teams,TPMs, external industry vendors and partners to ensure that all products are developed and delivered on time and to the highest quality standards. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: In this role, you’ll be responsible for driving manufacturing and quality initiatives to ensure product success from concept to launch Lead the product design and the manufacturing process for next-gen AI hardware system development, you will have the opportunity to work with a wide range of stakeholders, from design engineering and operations teams, TPMs and external industry vendors and partners to ensure that all products are developed and delivered on time and to the highest quality standards. Lead the team to establish NPI product manufacturing process, systems and quality controls, defining clear milestones and deliverables, drive internal process improvements across multiple terms and functions Provide hands-on product manufacturing analysis during desi

About the Team The Consumer Products team at OpenAI brings groundbreaking AI technology to life through world-class hardware. Our Operations group ensures that every product moves seamlessly from concept to customer — integrating supply chain strategy, manufacturing operations, and quality systems to enable rapid, reliable, and scalable production. We partner closely with engineering, design, and manufacturing teams around the world to deliver exceptional products at launch and beyond. About the Role As an Operations Manager, you will own the execution and strategy that transforms early product concepts into high-quality, manufacturable consumer devices. You’ll lead cross-functional planning, manage vendor relationships, and ensure supply, cost, and schedule alignment across fast-moving hardware programs. This role is based in Singapore. We follow a hybrid model (four days per week in the office) and offer relocation support for new employees. Occasional travel to supplier and manufacturing sites is expected. In this role, you will: Develop and execute operations strategies that bridge product design and large-scale manufacturing. Drive build readiness and production planning from prototype through mass production. Partner with global suppliers to ensure materials, tooling, and capacity meet program goals. Collaborate with hardware, quality, and supply chain teams to establish and maintain robust operational systems. Track cost, yield, and schedule performance to ensure efficient and predictable product delivery. Build scalable processes that support rapid iteration and future product launches. You might thrive in this role if you: Have 6+ years of experience in hardware operations, manufacturing, or supply chain for consumer electronics or similar industries. Have successfully taken at least one product from concept through mass production. Are fluent in NPI processes, contract manufacturing dynamics, and global operations management. Bring strong analytical and co

We are looking for a Solutions Architect to help customers and partners in South East Asia embrace NVIDIA technologies to build, deploy, and scale vision AI and video AI solutions. This is a highly technical role that requires deep expertise in VLM AI models and software engineering practices. We need a passionate, hard-working, expert and creative individual to help us pursue the many opportunities in this region. A Solution Architect is the first line of technical expertise between NVIDIA and our customers, as well as our partners. Your duties will vary from solutions design, training/workshops, troubleshooting, project coordination, industry and marketing speaking engagements, customer relationship management and more. What you'll be doing: Drive the adoption of NVIDIA's vision AI and video AI capabilities. Provide hands-on technical leadership to put VLM (Visual Language Models) and WFM (World Foundation Models) into applications for computer vision, document processing, and video analytics. Support solution development and technical validation around NVIDIA vision AI and video AI technologies Work with field, product, and engineering teams to translate customer requirements into deployable architectures, technical feedback, and roadmap input. Deliver demos, workshops, technical reviews, and partner enablement sessions that accelerate adoption of NVIDIA AI technologies. What we need to see: BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, Mathematics, Machine Learning, or a related field, or equivalent experience. 5+ years of proven experience in computer vision, vision AI, video AI, or world foundation models. Hands-on experience in building and scaling production VLM and multi-modal AI systems. Strong Python ski

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are seeking an experienced Sales Operations Manager to partner with our APAC Sales team across all subregions and segments. In this role, you will serve as a business partner on the Regional Sales Operations team, playing a critical role in helping Figma Sales scale revenue across both our self-service and assisted sales motions. This role will be operating out of our Singapore hub on a hybrid basis. What you'll do at Figma: Leverage AI tools to accelerate forecasting, reporting, and pipeline analysis—improving speed and accuracy of insights for leadership Champion AI adoption within the regional Sales team through best practices, workflows, and enablement Partner with sales leaders across APAC subregions, navigating diverse markets, cultures, and time zones Manage regional operating activities, including quota/crediting decisions and escalations, to deliver actionable insights for Sales and Finance Support forecasting meetings by presenting trends, risks, and opportunities to Sales Leadership Recommend org design, headcount, book of business carving, and quota decisions across the region Lead Regional MBR/QBR reviews, analyzing funnel trends and KPIs and driving follow-up actions Own performance dashboards, reports, and data-quality standards, keeping sales systems clean and trusted We'd love to hear from you if you have: 7+ years of sales operations experience, ideally in a fast-growing environment, with deep SaaS knowledge Proven ability to use AI to improve the speed, accuracy, and scale

Staff/Senior Engineer -Package Health System and Analytics — Fab 10A, Singapore. Apply via Workday.

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As a leader in our Enterprise Support organization, you’ll lead a team across Enterprise and Technical Support to ensure we deliver exceptional experiences to our customers. You’ll partner closely with Sales, Product, Engineering, and Support Operations to improve workflows, unlock product insights, and advocate for meaningful system changes. We’re looking for a leader who is passionate about developing people, thrives in complexity, and brings structure and clarity to a fast-paced, agile environment. This role will be based out of our Singapore hub. What you’ll do at Figma: Lead and develop the Enterprise & Technical Support team, setting a high bar for customer experience, quality, and performance, with a focus on coaching to deliver a premium customer experiences Manage, coach, and empower the team to meet the KPIs most critical to Enterprise success, driving clarity, alignment, and accountability Partner with Support Operations to implement operational improvements that enhance our ability to deliver support at scale Collaborate closely with Sales leadership to unblock high-value customers, support complex organization migrations, and guide major account transitions, ensuring continuity and customer satisfaction Work with Voice of the Customer, Product, and Engineering teams to surface meaningful insights that drive product and journey improvements Use data and insights from Product Support Analytics to surface trends, improve product quality, and inform strategic decision-making S