Financial Advisor in Singapore

Who we are About Stripe Stripe is a technology company focused on improving the conditions for economic growth and prosperity. We build programmable financial infrastructure, rethinking from first principles how financial services should work, to make it easier and cheaper for any business to start and scale. More than 10 million businesses build on Stripe, spanning the economic frontier—from solo founders to established enterprises—united by a practical focus on growth. The most ambitious companies in the world use Stripe as core infrastructure to grow faster. They process trillions of dollars a year on Stripe, equivalent to around 1.6% of global GDP. While economic growth makes everyone better off, open markets also enable greater variety. When any business can easily serve a global customer base, the quality and diversity of products in the world increase, and craft and creativity are unleashed into the smallest niches. Our own growth is wholly contingent on the success of the businesses building on Stripe. We therefore invest back into our technology at an unusual rate. We make upgrades to our products every single day to deliver compounding gains to our customers. We maintain some of the most reliable APIs on the internet. We build entirely new pieces of financial infrastructure to enable new ideas. And our significant advances in risk and fraud infrastructure over many years are making the internet economy safer and more accessible. Though people at Stripe don’t tend to take themselves seriously, Stripe is a fairly serious place: our customers are depending on us for their livelihoods. We admire ambition, intensity, curiosity, humility, and rigor. The most effective people become knowledgeable about many domains besides their own. Any company is an applied exercise in understanding some aspect of society or the market. In working with so many (especially the new and innovative ones), we think that Stripe is one of the very best places to learn about how

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 the team Stripe is seeking a Regulatory Compliance and Money Laundering Reporting Officer (RC and MLRO) to lead our regulatory compliance and financial crimes program in Hong Kong. This role sits within the Affiliates pillar of the Financial Crime, Compliance and Risk Oversight (FinCRO) organization, and you'll report to the APAC Affiliates Lead. You'll be the named RC and MLRO of Stripe Hong Kong (to be set up) and lead or assist in the registration of Stripe Hong Kong as a Money Service Operator (MSO), under the oversight of the Hong Kong Customs and Excise Department (CED). In your role as the RC and MLRO, you'll be the principal decision-maker and strategic lead on regulatory compliance and financial crime risk management decisions, serving a critical role in ensuring the continued safe growth and success of Stripe in Hong Kong. You'll also be the public face of FinCRO in Hong Kong. You have deep subject matter expertise and a proven track record building and evolving tech-forward regulatory compliance and financial crime programs (collectively, compliance programs). You may be based in the Stripe Singapore office for approximately 6 months. The APAC Affiliates Lead determines the office location and duration. What you'll do Responsibilities Develop and implement a compliance strategy for Hong Kong, aligning with global FinCRO objectives and business goals, leveraging AI, data science, and automation wherever possible. Provide regular reporting and updates to the Board of Directors of Stripe Hong Kong regarding the health and effectiveness of the compliance programs Act as the RC and MLRO, owning and enhancing Stripe Hong Kong compliance programs, in particular, ensuring the financial crime program is designed to efficiently and effectively prevent, detect, and report money laundering, terrorist financing, and other financial crimes Engage with local regulators to shape the future of fintech oversight, advocating for tech-enabled complianc

About the Team OpenAI’s Enterprise Go-To-Market organization helps the world’s largest companies adopt and scale our AI platform across their business, from ChatGPT Enterprise to our developer and APIs. We partner with organizations across Financial Services, Life Sciences, and Retail to build new AI-powered customer experiences, transform operations, and reimagine how work gets done in highly regulated and technically complex environments. As adoption accelerates through pilots, experimentation, and develop-led use cases, the GTM team turns that momentum into durable, enterprise-wide deployments. About the Role This role is designed as a launchpad for future sellers at OpenAI. This is a highly strategic role with significant exposure to enterprise sales, product, and customer strategy. You’ll develop core skills in discovery, stakeholder mapping, deal shaping, and executive communication while building a deep understanding of how leading companies adopt AI. We are looking for individuals with 4-6+ years of professional experience who are motivated to grow into world-class enterprise sellers over time. While many individuals in this role go on to become Account Directors or take on broader GTM roles, progression is based on performance and business needs rather than a fixed timeline. For the right person, this is one of the most accelerated paths to break into sales at OpenAI and build a long-term career in AI go-to-market. In this role, you will identify, shape, and advance complex enterprise opportunities by turning product usage, pilots, and inbound demand into qualified, high-conviction enterprise opportunities for our large Enterprise and Strategic Accounts teams. In this role, you will: Partner with Account Directors on account strategy, multi-threading, and deal progression Design and execute targeted outbound strategies using industry context, stakeholder mapping, and product signal to break into priority accounts Lead high-quality discovery to uncover busin

About the team OpenAI’s Enterprise Go-To-Market organization helps the world’s largest companies adopt and scale our AI platform across their business—from ChatGPT Enterprise to our developer platform and APIs. We partner with organizations across Financial Services, Life Sciences, Retail, Manufacturing, Technology, and other key industries across Asia Pacific to build AI-powered customer experiences, transform operations, and accelerate innovation. As adoption accelerates through pilots, experimentation, and developer-led use cases, the GTM team turns that momentum into durable, enterprise-wide deployments. Sales Development sits at the front of this motion—where technical curiosity becomes executive engagement and OpenAI’s enterprise relationships begin. About the role We are hiring a APAC Sales Development Leader to build and lead OpenAI’s enterprise Sales Development organization across Asia Pacific. Reporting directly to the Head of Global Sales Development, this role is a core part of the Enterprise GTM leadership team. This is a high-impact leadership role focused on scaling pipeline generation and market development across a diverse and rapidly growing region. You will define how OpenAI engages enterprise customers across APAC, build regional SDR leadership and teams, and create the operating model that converts product interest, developer activity, and inbound demand into high-quality pipeline for our Enterprise and Strategic Accounts organizations. In this role, you will Build and scale OpenAI’s APAC Sales Development organization, including hiring strategy, org design, enablement, and performance management. Lead and develop front-line SDR managers and SDR teams across key APAC markets. Own the regional enterprise pipeline generation strategy, ensuring consistent, high-quality opportunity creation across the region. Translate product usage, pilots, developer engagement, and inbound interest into qualified enterprise opportunities. Develop localized and ve

About the Team OpenAI’s Enterprise Go-To-Market organization helps the world’s largest companies adopt and scale our AI platform across their business, from ChatGPT Enterprise to our developer and APIs. We partner with organizations across Financial Services, Life Sciences, and Retail to build new AI-powered customer experiences, transform operations, and reimagine how work gets done in highly regulated and technically complex environments. As adoption accelerates through pilots, experimentation, and develop-led use cases, the GTM team turns that momentum into durable, enterprise-wide deployments. About the Role This role is designed as a launchpad for future sellers at OpenAI. This is a highly strategic role with significant exposure to enterprise sales, product, and customer strategy. You’ll develop core skills in discovery, stakeholder mapping, deal shaping, and executive communication while building a deep understanding of how leading companies adopt AI. We are looking for individuals with 4-6+ years of professional experience who are motivated to grow into world-class enterprise sellers over time. While many individuals in this role go on to become Account Directors or take on broader GTM roles, progression is based on performance and business needs rather than a fixed timeline. For the right person, this is one of the most accelerated paths to break into sales at OpenAI and build a long-term career in AI go-to-market. In this role, you will identify, shape, and advance complex enterprise opportunities by turning product usage, pilots, and inbound demand into qualified, high-conviction enterprise opportunities for our large Enterprise and Strategic Accounts teams. In this role, you will: Partner with Account Directors on account strategy, multi-threading, and deal progression Design and execute targeted outbound strategies using industry context, stakeholder mapping, and product signal to break into priority accounts Lead high-quality discovery to uncover busin

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. Finance Intern / Account Assistant (2 Headcount) 5 Work Days Per Week Office Near Tai Seng MRT, Singapore Medical Benefits Provided Entitled to Yearly Bonus & Performance Bonus (Full Time Staff Only) Overview The finance intern or recent graduate who supports a company’s finance or accounting department while gaining practical experience in financial analysis, reporting, and operational processes. You will also assist with financial data entry, report preparation, account reconciliation, budgeting support, and basic financial analysis, working under senior finance staff (Finance Manager, Tax & Treasury Manager) to gain hands‑on experience in accounting, reporting, and financial operations. Key Responsibilities Financial data entry & record maintenance : Recording transactions, updating spreadsheets, and maintaining accurate financial records. Report preparation : Assisting in preparing financial statements, presentations, and reporting packages. Financial analysis : Performing variance, trend, and ratio analysis; supporting ad‑hoc analysis. Budgeting & forecasting support : Gathering data, updating models, and preparing materials for budget meetings. Account reconciliation : Reconciling bank statements, accounts payable/receivable, and general ledger accounts. Audit support : Providing documentation and assisting with internal/external audit preparations Market & industr

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,

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

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 Quantitative alpha research requires mastery of multiple domains. The best research requires original research ideas, good intuition, strong data analysis skills, and good research planning. Our research directly drives our investment decisions. This role is highly selective. We have a long history of training extraordinarily talented academic researchers to succeed in the investment services industry. Prior experience in the financial services industry is not required. RESPONSIBILITIES Provide research assistance to full-time researchers Assist with data collection and preliminary analysis Follow, digest, analyze and improve upon the latest academic research DESIRABLE CANDIDATES Ph.D. candidates in finance, economics, mathematics, statistics, physics, computer science, or other quantitative discipline. Programming in any of the following: R, Python, or C++. Experience with SQL. Solid research experience in the field of the candidate’s specialty. Strong analytical and quantitative skills. Detail-oriented. Demonstrated ability to learn and apply new methodologies to real life problems. 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. Prior experience in the financial services industry is not required.

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 Senior 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 Building processes, tools and frameworks to ingest, clean and deliver datasets Analysis of data for usability, cleanliness, feature extraction and proposed usage by investment teams Creation of in-house, value added, derived data products for consumption by investment teams Engaging with vendors and internal stakeholders to understand characteristics of datasets Partnering closely with investment teams to ensure their data requirements are met Research on new technologies (including AI solutions) to continuously improve data management and value-add for investment teams REQUIREMENTS PhD or 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 5+ years of experience as a Data Scientist or similar role Experience working with large data sets including predictive modeling Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Intellectua

JOB DESCRIPTION: Abbott is a global healthcare leader, creating breakthrough science to improve people’s health. We’re always looking towards the future, anticipating changes in medical science and technology. Our rapid diagnostics solutions are helping address some of the world’s greatest healthcare challenges. The Opportunity As the Finance Manager, SEA, you will be responsible for consolidating and reporting sales, P&L, and balance sheet results (actuals and forecasts) across Southeast Asia. You will partner closely with business leaders, support day-to-day finance operations, provide financial reporting and analysis, and ensure compliance with corporate financial policies and procedures. What You’ll Do Consolidate/Report for Sales and P&L and Balance Sheet (actual and forecast) for ID SEA: (Singapore, Malaysia, Vietnam, Thailand, Philippines, Indonesia, Cambodia, Laos, Vietnam) for Actual, RLBE/Forecast and Confirmation. Working closely with CM/GM as a strong Finance business partners and supports day to day business operations issues. Ensure completion of month end/year end closing with SSO / CFS team. Work along closely with SSO / CFS team on actual reporting, credit control, payment and all operations matters. Consolidate/Report/Monitor Cash Conversion Cycle, and Credit Management for SEA markets Distributors management: renewal/appointment process, inventory management, credit/margin claims processes, etc. Reporting and tracking of end-customer sales: (primary, secondary, inventory) across SEA markets Financial Analysis / Decision Support – Consolidate to understand the key drivers of profitability issues relating to any given Plan or RLBE cycl

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 At Stripe, product development is an extremely collaborative effort between engineering, design, analytics, partnerships, legal, risk, and go-to-market teams. You'd be joining a group of experienced engineering, product management, strategy, and operations leaders who have a track record of successfully building large-scale businesses and products that collectively impact millions of users around the world. Stripe's payments products help accelerate many of the world's most innovative companies, and the Local Payment Methods team owns one of Stripe's most critical workflows, a platform that processes billions of dollars in payments annually. We're looking for a senior Technical Program Manager who's passionate about solving problems in the complex payments landscape, not only serving our customers but also our financial partners and regulatory stakeholders.Payments continues to see innovations such as an acceleration in payment methods coming online in the form of Buy Now Pay Later, Digital Wallets, and Crypto payments. Such payment methods provide more benefits to merchants and enable functionality that was not present before. The Local Payment Methods team builds the platform and enables payment methods that connect to millions of Stripe users globally. We're responsible for building new product

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