Manage portfolio risk, oversee trade execution and team performance, develop investment strategies, and conduct quantitative research and analysis.
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, prototyping, backtesting, and performance monitoring.
- Innovative, intellectually driven, with an intense curiosity about financial markets and human behavior.
Point72 Singapore, Singapore, SGP Office
50 Collyer Quay, OUE, Bayfront #08-03, Singapore, Singapore, 049321
Similar Jobs
Fintech • Mobile • Payments • Software • Financial Services
Own the regional B2B CRM strategy for Wise Business across APAC, driving acquisition, switching, onboarding, activation, and customer value. Partner with Sales, Marketing, Brand, and Analytics to build lead pipelines, nurture journeys, and conversion programs. Deliver email, push, and in-app campaigns through segmentation, personalization, testing, QA, and regional content adaptation. Manage campaign prioritization, stakeholder alignment, deliverability, customer-contact standards, and measurement of pipeline and commercial impact.
Top Skills:
Email MarketingIn-App MessagingLiquidPush NotificationsSQL
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Owns Airwallex’s payment cost economics, especially Visa and Mastercard scheme fees and interchange. Translates network rules into system configurations, controls, fee logic, and financial models; reconciles expected versus actual costs; identifies leakage and margin optimization opportunities; and advises Product, Engineering, Finance, Data, and Commercial teams on pricing, product design, market launches, and payment strategy. Acts as the escalation point for complex scheme economics issues and partners with payment networks.
Top Skills:
Advanced AnalyticsAIBin RoutingFee Configuration LogicInterchange TablesMastercardPayment Cost SystemsTransaction-Level AnalyticsVisa
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Develop and deploy next-generation 3D NAND dry etch processes before device ramp. Responsibilities include evaluating tool performance, optimizing process windows and recipes, troubleshooting yield and quality issues, driving process simplification, collaborating with fabs, vendors, and cross-functional teams, and integrating manufacturing methods into new technology nodes.
Top Skills:
AIDesign Of Experiments (Doe)Dry EtchNand
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.



.jpeg)