Instead of employing traders, we crowd-source Alpha Partners from around the world who provide strategies. Alpha Partners get rewarded when their strategies produce positive returns. Our role is to build the technology that sources, tests and allocates capital to these strategies.
Crowd-sourcing alpha partners who provide us with a scalable source of systematic trading signals.
We use machine learning to filter the signals from alpha partners to distinguish the skillful from the lucky. Risk is managed through dynamically allocating capital to the pool of alpha partners.
Automated execution & reporting platform using modern software that offers economies of scale and scope
Noviscient is a next-generation investment manager. We are re-imagining the investment industry by offering our clients performance through technology and alignment through structure
Do you have experience with systematic strategies that trade liquid securities: equities, ETFs, FX or futures? Are you working on the application of machine learning techniques to systematic trading? Do you have an entrepreneurial mindset who want to build a career in systematic trading? Then, join us as an Alpha Partner. You may be located anywhere. We are currently working with Alpha Partners in the US, Europe and Asia.
|Access to capital|
|Attractive incentive structure|
|Support and feedback|
|Transparency in execution|
Over 20 years of experience in finance including eight years running a quantitative group in Deutsche Bank. He has traded a broad range of financial products and developed several Asian systematic trading strategies. Scott previously worked in the investment banking group with Macquarie Bank for five years. He is currently working on the application of probabilistic modeling to portfolio construction.
Denis has more than 12 years of experience developing software on a range of platforms. For the last five years he has been working on trading and trading exchange applications. Denis has been working with Noviscient since its founding.
Shirish has more than 20 years working with financial institutions including Citibank and Barclays Bank, where he headed the Japan equity derivatives trading group. His experience is split across investments, trading and technology. He brings capital markets experience and software development capabilities.
Serena Tiong has more than 15 years of banking experience working with financial institutions such as the World Bank, Morgan Stanley, Julius Baer and Standard Chartered Bank. Her expertise includes the areas of risk management, portfolio advisory, product structuring and systematic strategies. Throughout her career, she has been working with big data and machine learning techniques on financial data modelling and forecasting. Serena has a PhD in Actuarial Sciences from the University of Iowa.
Ming has a Bachelor of Applied Mathematics and a Master of Financial Engineering from NUS. Currently, Ming mainly works on idea generation and modeling in Noviscient.
Tao has a Bachelor of Finance and a Master of Financial Engineering from NUS. He is working on applications of machine learning methods in financial markets.
Jing has over ten years of experience in financial services. As one of the first employees of Markit in Asia, he covered client services, sales, marketing and project management.
Stefan had a 20-year career in professional services. Before co-founding Stepping Stone, he was Asia Pacific CFO for Thomson Reuters. He acts as an independent director for several companies and was previously President of the New Zealand Chamber of Commerce in Singapore.
Noviscient is a multi-strategy, quantitative, investment management platform with a business model based on alignment, performance and transparency. Noviscient is a registered fund management company (RFMC) under the Monetary Authority of Singapore.