Python Developer in Singapore

A discretionary macro investment team is looking to add a fundamental analyst/strategist in rates and FX, focused primarily on Southeast Asian emerging markets. What you’ll do Work with PM to formulate and develop trade ideas across Southeast Asian FX and rates markets Develop and maintain sell-side relationships Assist in portfolio and risk management Conduct ongoing fundamental research to support and enhance the investment activities of the group Work on numerous ad-hoc projects to enhance the trade identification and management process Work with banks and brokers for information gathering, relationship building and assisting with execution What’s required 10-12 years of experience in fixed income in a strategy or analyst role at a top tier hedge fund, asset manager, or bank Highly knowledgeable about Southeast Asian emerging markets Knowledge and ability to work throughout the trade-cycle: completing risk-assessment analysis, trade structuring and implementation to the point of execution Deep understanding of technical details and idiosyncrasies related to the fixed income markets in these countries Strong competency in Excel and VBA, and preferably strong programming skills in a common language such as Python Strong communicator who values building relationships with colleagues and stakeholders, and able to significantly raise but also modulate volume depending on opportunity set Willingness to take ownership of his/her work, working both independently and within a small team Commitment to the highest ethical standards We take care of our people We invest in our people, their careers, their health, and their well-being. When you work here, we provide: Health care benefits Generous parental and family leave policies Mental and physical wellness programs Volunteer opportunities Support for employee-led affinity groups representing women, people of color and the LGBT+ community Tuition assistance About Point72 Point72 is a leading global alternative investment fir

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 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 Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group. RESPONSIBILITIES Conduct original quantitative alpha signal research Follow, digest and analyze the latest academic research Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis Build analytical tools to supplement our shared research framework REQUIRMENTS B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline. Programming in Python (or comparable language) and working knowledge of SQL Strong analytical and quantitative skills. Willingness to take ownership of his/her work. Ability to work both independently and collaboratively within a team. Strong desire to deliver high quality results in a timely fashion. Detail-oriented. Prior experience in the financial services industry is not required. A commitment to the highest ethical standards.

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Delivery Engineer Team As a member of the Delivery Engineer team, you will own the post-sales onboarding and data health for customers. Your goal will be to drive data trust, help embed Mixpanel into our customers’ data stack, and deliver on emerging AI integrations — delivering on the full value of Mixpanel as a self-serve analytics platform. You will work and consult with GTM team members and a diverse array of customers to successfully roll out product analytics to their organization and execute on technical projects and services that delight our customers. About the Role As a Delivery Engineer, you will be on the front lines with our clients as they integrate Mixpanel into their core product development processes. You will lay the foundation for customers to adopt product analytics and get value from Mixpanel by delivering a world-class, on-time, and value-oriented onboarding experience. With your comprehensive project management knowledge, consultative approach, expertise in the analytics space, and technical knowledge of the modern data stack, you will lead our clients' first experience with Mixpanel as they incorporate product analytics into their data ecosystem as a foundational element. With your deep technical breadth and expertise in the analytics space, you’ll be the expert consultant on all things data and ecosystem. As Mixpanel and our customers continue to iterate on agentic integrations, you’ll own ensuring customers are able to build, assemble context, and integrate AI workflows. Responsibilities Own onboarding and data health for our strategic and high-value clients, including

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. 5 Work Days Per Week Relocate Near Tai Seng MRT in August 2026 Medical Benefits Provided Entitled to Yearly Bonus & Performance Bonus Role Overview The Financial Analyst (Power BI Specialist) plays a key role in strengthening the company's financial planning, reporting, and analytics capabilities. This position is responsible for delivering high‑quality financial insights through advanced data modeling, interactive dashboard development, and automation of reporting processes. Working closely with FP&A, Finance, and cross‑functional business teams, the analyst drives data‑driven decision‑making by transforming complex financial data into clear, actionable insights. The ideal candidate combines strong financial acumen with deep technical expertise in Power BI, ensuring accuracy, efficiency, and scalability across the company's reporting framework. Key Responsibilities Financial Reporting & Analysis Prepare monthly, quarterly, and annual financial reports, ensuring accuracy and timeliness. Conduct comprehensive variance analysis against budget, forecast, and prior periods. Analyze key financial metrics including revenue performance, cost drivers, gross margins, working capital, and operational KPIs. Support budgeting, forecasting, and long‑range financial planning cycles. Provide ad-hoc financial modeling, scenario analysis, and business insights to management. Power BI Development & Data Visual

About the role As a Forward Deployed Engineer (FDE) focused on Inference & Post-Training, you will be a hands-on technical partner to our most strategic customers — production AI teams looking to leverage high quality models and do inference at scale. For us, FDE is not a replacement for a Solutions Architect; you will partner with our SAs as a deep-domain specialist in inference optimization, fine-tuning pipelines, and production deployment. As key contributors to both the CX, Engineering, and Sales organizations, FDEs add tremendous value by ensuring we can meet the requirements of our most complex POCs, facilitate successful platform adoption, and guide tailored optimization efforts — directly impacting customer success, company growth, and the hardening of our core platform. Must be a permanent resident or citizen of Singapore. Responsibilities Inference Engine Optimization: Select, configure, and optimize inference engine based on hardware, model architecture, and workload profile Configuration & Performance Tuning: Develop configuration updates to win critical POCs, benchmarks, and optimize customer deployments; tune KV cache, apply speculative decoding, determine optimal tensor parallelism, and determine quantization strategy to hit throughput and latency targets. Post-Training & Fine-Tuning: Drive hands-on RL training runs and optimize system design; guide customers through LoRA, SFT, DPO, RLHF, and GRPO pipelines from experimentation through production. Strategic Customer Alignment: Act as the primary technical point of contact for aligned strategic accounts — monitoring and optimizing endpoint configurations, helping customers get the most out of the platform, and collaborating to ensure we hit critical milestones. Opinionated Onboarding: Establish direct alignment with strategic customers at onboarding; ensure the right inference and post-training configurations are in place from day one to improve time-to-value. Product Feedback Loop: D

ROLE We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. As a Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. RESPONSIBILITIES Onboarding novel datasets from a huge variety of sources into our platform Develop, test and deploy data pipelines, applications and services Re-shaping, aggregating, enhancing and creating features from datasets Engaging with vendors and internal stakeholders to understand characteristics of datasets Defining and automating qualitative data alerts and reports Partnering closely with investment teams to ensure their data requirements are met Perform preliminary analysis and research to be shared with investment teams REQUIREMENTS Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis Strong programming skills in Python and SQL Experience working with AWS, Linux and Airflow preferred but not required Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Attention to detail and a love of processes Strong oral and written communication skills Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues Ability to multitask and prioritize assignments Commitment to the highest ethica

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

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

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Principal Forward Deployed Engineer, Okta for AI Agents About Okta for AI Agents Okta secures access for 20,000 organizations and billions of users. Okta for AI Agents extends that work to the agentic shift. Deploying an AI agent is not like deploying traditional software. You are putting professional work output into production, and it needs deep integration, continuous tuning, and change management. Every agent needs an identity, a scope, an audit trail, and a way to be shut down when it goes wrong. Most enterprises have not built this yet. We are. We hire builders who see the cracks in enterprise agent identity that everyone else has learned to live with. The Role You embed inside four to five of Okta’s most strategic enterprise customers as their dedicated technical partner for agent identity. You sit alongside their identity, platform, and security engineering teams, develop sample and bespoke code, and own the technical outcome from prototype through production. You are a builder-consultant. You go past architecture diagrams to code, debug, and ship bespoke agent identity solutions inside the customer’s environment. You ship secure agents faster for the customer, and you feed real field insight back to Okta product engineering. Responsibilities Become the customer’s trusted technical voice on agent security. Sit in their standups, design reviews, and incident reviews. Earn a seat on their architecture review board and security council for agent risk d

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 Technical Account Managers work cross-functionally to support the largest and most complex Stripe users. Through trusted relationships, we offer customized, strategic consultations and proactively identify opportunity areas to help businesses deliver more value to their customers, optimize technical operations on their teams, and accelerate their global growth with Stripe. What you'll do Responsibilities Provide a Gold Standard Experience to your assigned accounts' key stakeholders Work with the wider Operations team to provide current state, resources, and knowledge to enable Gold Standard Experience across teams interacting directly with the user via support channels, external documentation, or product and feature feedback or development Foster long-term user relationships that grow loyalty to Stripe and Stripe products Work cross-functionally both internally and within your user's organizations to provide and implement operational solutions on subjects not limited to fraud, disputes, declines, product adoption, and global expansion Work closely with Customer Success and other user-facing teams as part of a larger effort to support users on Stripe Lead user-facing meetings both in person and through video chat Collaborate on the continued design of this support offering Create user-facing content for long-term solutions Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these

About the role As a Solutions Engineer, you'll work as part of a driven team to unlock the full potential of our voice AI platform for a growing customer base. Your mission is to efficiently scale our technical solutions to many enterprise customers, both directly and by improving our internal processes and supporting our sales teams. As a Solutions Engineer, you can expect to: Collaborate strategically with Account Executives to enhance the technical aspects of the sales process. Work directly with technical contacts from our customers and prospective customers to provide bespoke support and architect solutions. Craft compelling technical demonstrations that clearly communicate our product's value proposition. Create technical enablement resources that amplify our sales team's effectiveness and technical fluency. Build self-service tools and documentation that empower customers to implement solutions independently. Identify opportunities to productise common integration patterns or features, and work with our product teams to make these real! Requirements We're looking for exceptional individuals who excel at working with customers on technical problems and excited to work with us to scale this efficiently. You'll thrive with us if you: Are passionate about AI, technology and ElevenLabs products. Enjoy working directly with customers, iterating on solutions and providing tailored support Have a talent for identifying patterns that can be standardised and scaled. Have strong empathy for customers, sales and product teams. Have a strong technical background in order to help customers architect integration between our solutions and their existing solutions Experience working with customers. It’s ok if you only worked with customers in student clubs or side projects, as long as you are interested in working closely with them on a technical capacity Proficiency in Python, inclusive of a deep understanding of software development, software architecture, and common integr

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. 50% travel is expected. In this role you will Own technical delivery across multiple deployments from first prototype to stable production. Build full-stack systems that deliver customer value and sharpen how we learn. Embed closely with customer teams, understand their needs, and guide adoption of what you build. Scope work, sequence delivery, and remove blockers early. Make trade-offs between scope, speed, and quality; adjust plans to protect delivery. Contribute directly in the code when progress or clarity depends on it. Codify working patterns into tools, playbooks, or building blocks that others can use. Share field feedback that helps Research and Product understand where the models succeed and where they can improve. Keep teams moving through clarity and follow-through. You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work. Have scoped and delivered complex systems in fast-moving or ambiguous environments. Write and review production-grade code across frontend and backend using P

Who we are About Stripe At Stripe, you have an unprecedented opportunity to put the global economy within everyone’s reach. 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. About the team The Solutions Architecture Team partners with our users to realize their full potential through the adoption of prescriptive solutions that drive their growth and success. We work with founders, C-level executives, finance leaders, product design and engineering teams at large global brands and platforms who are building financial services solutions with Stripe. We work closely with Account Executives, Professional Services, Customer Success Managers, Partners, Technical Account Managers Product, and Engineering teams to develop and execute on the account strategy for Stripe in market. What you’ll do Your mission is to uncover the deepest levels of customer pain and desired outcomes, going beyond surface-level requirements. By truly understanding their strategic business objectives, you will architect and tailor Stripe's solutions as the definitive answer to their most pressing challenges. You will be instrumental in mapping the customer's transformation journey, crafting future-state roadmaps and solution architectures that inherently factor in complex third-party integrations. Responsibilities Execute meticulous technical discovery, conducting in-depth business analysis and background research on customer operations, industry dynamics, and competitive landscapes to build a foundational understanding that informs every proposed solution. This goes beyond fact-finding; it's about understanding their "why." Lead strategic engagements, guiding users through a structured disco

Who we are About Stripe At Stripe, you have an unprecedented opportunity to put the global economy within everyone’s reach. 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. About the team The Solutions Architecture Team partners with our users to realize their full potential through the adoption of prescriptive solutions that drive their growth and success. We work with founders, C-level executives, finance leaders, product design and engineering teams at large global brands and platforms who are building financial services solutions with Stripe. We work closely with Account Executives, Professional Services, Customer Success Managers, Partners, Technical Account Managers Product, and Engineering teams to develop and execute on the account strategy for Stripe in market. What you’ll do Your mission is to uncover the deepest levels of customer pain and desired outcomes, going beyond surface-level requirements. By truly understanding their strategic business objectives, you will architect and tailor Stripe's solutions as the definitive answer to their most pressing challenges. You will be instrumental in mapping the customer's transformation journey, crafting future-state roadmaps and solution architectures that inherently factor in complex third-party integrations. Responsibilities Execute meticulous