From Wall Street’s core trading desk, to hardcore quant labs.
Nora Quant Lab was born in Manhattan, New York in 2020, by graduatesColumbia、Carnegie Mellon University (CMU)、NYU Courant withStanford co-founded by the founding team. Bidding farewell to the comfort zone of Wall Street's top investment banks and leading securities firms' self-operated trading desks, we have injected the rigorous mathematical logic, institutional-level three-tier risk control system and low-latency engineering foundation that have been tempered for more than ten years into this young emerging market that most needs deterministic order.
Columbia Univ.Master of Financial Engineering (MSFE)Carnegie MellonComputational Finance Ph.D. (CF Ph.D.)NYU CourantMaster in Scientific Computational MathematicsStanford Univ.Master of Financial Mathematics and Operations Research
NORA QUANT LAB · CORE DOSSIER
EST. 2020 · NY
MANHATTAN LABNew York, NY40.7128° N · 74.0060° W
VOLATILITY SURFACE MODELACTIVE
ACADEMIC ORIGINColumbia · CMU · NYU Courant · Stanford
12+Years of average Wall Street core trading desk experience
Strict Zero-Default Risk
ACADEMIC ROOTSThe core team graduated from top universities around the world
Columbia UniversityCarnegie Mellon (CMU)NYU Courant InstituteStanford UniversityUC BerkeleyUChicagoTsinghua UniversityColumbia UniversityCarnegie Mellon (CMU)NYU Courant InstituteStanford UniversityUC BerkeleyUChicagoTsinghua University
WALL STREET PEDIGREEThe core team has traded at top market makers and investment bank trading desks
Goldman SachsMorgan Stanley · Morgan StanleyTop Market Maker · Electronic Market MakerBrokerage Proprietary Trading Desk · Proprietary Trading DeskWall Street Macro Hedge Fund · Macro Hedge FundGoldman SachsMorgan Stanley · Morgan StanleyTop Market Maker · Electronic Market MakerBrokerage Proprietary Trading Desk · Proprietary Trading DeskWall Street Macro Hedge Fund · Macro Hedge Fund
12+yearFounding partner’s average Wall Street career background
100%The online strategy must have independent model blind review verification
3cityNew York Research · Singapore Risk Control · Japan Engineering
0ArticleA black box strategy for going online without clearly stating the failure boundary
01OUR HERITAGE
Why are we determined Stepping out of your comfort zone on Wall Street?
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2010 — 2014Morningside Heights · Pittsburgh · Greenwich Village
CHAPTER 012010 — 2014
In top academic halls, we learn to revere mathematics and randomness.
The founding team met at top universities in the United States - studying financial engineering at Columbia University, computational finance and mathematical statistics at Carnegie Mellon University, and deriving stochastic calculus at the Courant Institute of New York University. From Black-Scholes partial differential equations to non-stationary stochastic processes and Monte Carlo simulations, the first commandment taught by academic instructors is: all models are just poor fits to the real world, and errors and fat-tail risks are the essence that must be managed with all our efforts.
stochastic calculusnon-stationary time seriesMonte Carlo analysisCourant Institute
"The most precious belief we have forged in thousands of stormy waves on Wall Street is never how to falsely predict huge profits, but how to survive with absolute mathematical certainty when an out-of-control storm comes. What Nora has to do is to hand this set of institutional-level deterministic weapons to every trader who respects the market without distinction."
— Nora Quant Lab Founding Partner Team
02FOUNDING PARTNERS
four Wall Street partners, Stick to the same set of institutional-level obsessions.
They have taken market risks for billions of dollars of real gold and silver in Wall Street trading desks, proprietary departments of leading brokerages, and top high-frequency market-making machine rooms. Now, they have imprinted the same stringent mathematical standards and risk control bottom line into every line of Nora’s system code.
EL
Co-Founder · CEO
Lin YihengEthan Lin
Columbia University Master of Financial Engineering (MSFE)
Former Goldman Sachs · Head of Equity Derivatives and Volatility Trading
The essence of the financial market is probability and randomness. It always rewards awe and discipline and never tolerates blindness and luck.
GZ
Co-Founder · Chief Research Officer (CRO)
Siran Zhou (Ph.D.)Grace Zhou, Ph.D.
Carnegie Mellon University (CMU) PhD in Computational Finance and Applied Statistics
Former Head Securities Company·Research Director of Quantitative Proprietary Department
For a truly viable mathematical model, before writing the first line of code, you must first deduce when it will fail.
DX
Co-Founder · CTO
Xu JiamingDaniel Xu
NYU Courant · Master of Science in Scientific Computing and Mathematics
Former top high-frequency market maker · Ultra-low latency core trading system architect
Excellent engineering is not about praying that the system will never go wrong, but ensuring that when extreme failures occur, the status of every microsecond is clearly traceable.
SC
Co-Founder · Chief Risk Control Officer
Chen RuoxiSophia Chen
Stanford University · Master of Operations Research and Financial Engineering
Former Morgan Stanley VP of Market Risk Management
Before every temptation of profit, first use mathematics to calculate whether the system can absolutely survive under the most extreme black swan.
03INSTITUTIONAL DNA
We brought it back from Wall Street, Not arrogance, but an absolute awe of uncertainty.
The reason why a truly respected quantitative institution can survive the bulls and bears is not by a certain packaged "stock god trader", but by a set of institutionalized risk control systems that allow impulse and luck to have nowhere to hide.
core dimensionsWall Street Investment Bank Proprietary StandardsNora Quant Lab Project Execution
01Mathematics and Research
ON WALL STREET
The most rigorous mathematical assumptions in academia reject any form of historical curve overfitting.
AT NORA LAB
Each online strategy must have complete out-of-sample testing, transaction cost attrition stress testing and failure boundary reporting.
02Risk control cannot be violated
ON WALL STREET
Wall Street’s senior risk control system is implemented, with millisecond-level exposure monitoring and forced automatic circuit breakers.
AT NORA LAB
Three layers of hard-core limit checks for single order, single currency exposure, and full portfolio drawdown are solidified at the code level and cannot be bypassed by anyone.
03Nanosecond Engineering
ON WALL STREET
From Tick collection to order matching from various exchanges around the world, the entire link is event-based playback and reconciliation.
AT NORA LAB
Using zero-copy distributed bus and time-series storage, every transaction and market price has a precise nanosecond time stamp, and any abnormality can be located in seconds.
04Transparency and sincerity
ON WALL STREET
Resolutely abandon the illusory and false gods and black box propaganda, and put risk explanation first.
AT NORA LAB
We never promise risk-free and high returns, and all strategies disclose the backtest logic, maximum drawdown assumptions and applicable market environment.
04MILESTONES
Five years of precipitation, Turn top academic methodology into productivity.
2020
new york · manhattan
Quantitative laboratory established
The four founders formally established Nora Quant Lab in Lower Manhattan and established a four-level systematic R&D discipline of "high-precision data → rigorous reasoning → mechanical risk control → blind sample review".
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05GLOBAL PRESENCE
Three financial and technology centers in the world, Build a 24-hour quantitative defense line.
The global market never closes, and our high-frequency risk control and model computing power never shut down. Seamless handover across time zones and around the clock in New York, Singapore and Japan ensures that the system is monitored by experts at every microsecond.
Global Research and Strategy Headquarters
New Yorknew york
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Strategic mathematical modeling, Wall Street front-line macro derivatives research, core model verification committee and institutional business
40.7128° N · 74.0060° W
Asia Pacific Center and Compliance Risk Control
Singaporesingapore
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24/7 global risk monitoring center, international compliance and legal affairs, ecological alliance and cross-border institutional partner support
1.3521° N · 103.8198° E
Low Latency Engineering R&D Center
TokyoJapan
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Ultra-low latency distributed trading system, real-time market and time series big data platform, front-end high-performance terminal and interactive engineering
35.6762° N · 139.6503° E
BUILD WITH THE BEST
Desire to connect with top minds from Wall Street, Solving the most demanding quantitative propositions together?
We are currently expanding our enrollment in New York, Singapore and Japan. If you pursue first principles and are eager to get access to petabyte-level real data and top-level computing power clusters, welcome to join Nora Quant Lab.
