We deliver AI-powered prediction products to solve our customers’ biggest challenges like forecasting demand, anticipating customer behavior and improving patient outcomes. Actionable insights to clients within weeks, not months. How?
This video breaks it down.
Built On a Legacy of Success
WorldQuant Predictive has developed approaches to making predictions at scale based on established philosophies that have been tested and proven for many years in quantitative finance. Many of these methods were successfully pioneered by Igor Tulchinsky, Founder, Chairman and CEO of WorldQuant Asset Management, and Founder of WorldQuant Predictive. Our team utilizes similar approaches to solve for predictive challenges that exist today across a range of industries.
Meet Our Team
The WorldQuant Predictive team is a diverse group of specialists in healthcare, retail and financial services, working alongside experts in technology, data science, mathematics, machine learning and AI.
Igor Tulchinsky
Founder
New York
Igor Tulchinsky is Founder, Chairman and CEO of WorldQuant, a global quantitative asset management firm with over $7 billion in assets under management and more than 27 offices in 17 countries. Prior to founding WorldQuant in 2007, Tulchinsky spent 12 years as a statistical arbitrage portfolio manager at Millennium Management. Igor is the Founder of WorldQuant University, a not-for-profit organization that offers an instructor-guided, tuition-free MSc program in Financial Engineering, and is committed to making higher-quality education more accessible worldwide. He also founded WorldQuant Ventures, a private investment vehicle focused on disruptive companies in technology. Tulchinsky previously worked as a venture capitalist, scientist at AT&T Bell Laboratories, video game programmer and author.
He holds an M.A. in computer science from the University of Texas, completed in a record nine months, and an MBA in finance and entrepreneurship from the Wharton
School.
Slava Frid
CTO
Slava Frid is a 20-year+ technology industry veteran focusing on solving business problems with software engineering. He has led award-winning teams in finance, media, and non-profit sectors and enjoys pushing the envelope of what is considered possible. He is currently embracing the challenge of helping to build new ways for quantitative researchers to help businesses and organizations answer their toughest questions. Frid received his degree in Economics from the Wharton School and his Computer Science degree from the School of Engineering at the University of Pennsylvania.
Thiam H. Lee, Ph.D.
Chief Data Science Officer
Dr. Thiam Lee is the Chief Data Science Officer for WorldQuant Predictive. His work at WQP draws on his background in operations research, machine learning, and quantitative finance. Prior to joining the WQP team, Dr. Lee worked as a Portfolio Manager at WorldQuant Asset Management and was Principal Data Scientist for Bonobos.
He holds a B.S. in Electrical Engineering and Computer Science from University of California, Berkley and a Ph.D. in Industrial Engineering and Operations Research from Columbia University.
Scott Herckis
CFO
Scott Herckis has over 25 years of finance and accounting experience, managing finance departments primarily in the consumer products industry. He started his own business in 2009, SJH Financial, which provides outsourced CFO services for small and medium-sized businesses. Prior to that, he spent 10 years working at fashion houses including Tory Burch and Elie Tahari where he managed teams of 25-30 in the areas of accounting, finance, human resources and imports. Herckis started his career at Arthur Andersen in the audit and assurance department.
He earned a Bachelor’s degree in accounting from the University of Texas at Austin and holds a CPA license.
Dan Wilson
Vice President of Sales
Dan brings 20 years of experience in helping Fortune 500 clients accelerate their digital transformation and improve their businesses by adopting new technology, implementing new processes and adapting to new business models. His expertise spans several industries, with significant recent work in bringing AI-powered solutions to supply chain, manufacturing, industrial operations, financial services and CPG/retail operations.
Dan joins WorldQuant Predictive from Element AI, recently acquired by ServiceNow, where he led the company’s North America sales team and supported growth initiatives across multiple industries and offerings. Dan holds a BA in Economics from the University of North Carolina at Chapel Hill.
David Wiesenfeld
Director of Operations
David Wiesenfeld joined WorldQuant Predictive as Chief of Staff in July 2018 and now serves as Director of Operations. He supports the CEO and works with the management team to define company strategy. Prior to that, he worked in venture capital and at a number of high-growth, early-stage startups.
Wiesenfeld received his degree in Business from Cornell University. He is an avid chess and squash player.
Robert Molnar
Director, Predictive Retail & CPG
Budapest
Robert Molnar is the director of WQP’s Retail & Consumer Goods practice where he helps organizations in the industry accelerate their revenue growth. Prior to joining WorldQuant Predictive, Robert ran his own consultancy serving clients in the Nordics while heading the Advanced Analytics branch of a Danish consulting firm. Robert’s core domain expertise is in pricing, promotion, and assortment optimization. His experience includes numerous projects at McKinsey & Co. and other boutique consultancies. Robert’s mission at WQP is to package proprietary technologies, unique data, and the output of a multi-talented research team into simple solutions enabling optimal decisions for revenue growth executives in the Retail & Consumer Goods space.
Miklos Radnai
Director, Predictive Finance & Banking
Miklos Radnai is the director of WorldQuant Predictive’s Financial Services practice where he helps organizations in the industry deploy machine learning solutions across credit decisioning, credit default monitoring, marketing, and pricing. Miklos has more than 13 years of experience in financial services, consulting, and data science. Prior to joining WQP, Miklos worked at McKinsey & Company for nine years, was the Head of Strategy at Codecool. He has had his own consultancy serving clients across a variety of data science and corporate finance areas. Miklos holds a Mathematics MA and a Finance MPhil from the University of Cambridge, and an MA in Economics from the Central European University.
Attila Petroczi
General Manager
Hungary
Attila Petroczi joined WorldQuant Predictive to build the Hungarian office in February 2019. Prior to that, he worked for multiple startups as an analyst, data scientist, and R&D manager in different industries. Petroczi has a strong theoretical background in statistics, AI, and ML and is adept at translating business problems into analytical tasks. He is also a pioneer in building scientific communities around data in Hungary as an organizer of meetups and the CRUNCH Data Conferences.
Attila received his B.A. in economics at the Budapest Business School and his MSc in Electrical Engineering from Budapest University of Technology and Economics.
Alyssa Konstantino
Operations Manager
Alyssa Konstantino is Operations Manager for WorldQuant Predictive. She aids the CEO and the WQP team with organizing, streamlining, and assisting with projects and day-to-day operations. Konstantino ensures that the company culture is exceeding expectations by planning events and maintaining a forward-thinking atmosphere.
She received her Bachelor’s degree in Education with a minor in Psychology from Curry College.
Sadrach Pierre, Ph.D.
Data Scientist
Sadrach Pierre is a quantitative researcher at WorldQuant Predictive where he builds predictive tools for clients in the retail industry. He worked as a data scientist for Solidus Labs where he developed algorithms used to detect manipulation and fraud within cryptocurrency markets. His interests include statistics, machine learning, software programming, and physics.
Dr. Pierre received his B.S. in Inorganic Chemistry from Brandeis University and his Ph.D. in Chemical Physics from Cornell University in 2018.
Amit Belani
Senior Engineer
Amit Belani is a senior engineer at WorldQuant Predictive. Since receiving his M.Eng. in Computer Science from Cornell University, Belani has worked in healthcare, finance, and at two DoE national labs. His experience and interests include data engineering, software development, and ML engineering.
Yuxuan Xin, Ph.D.
Senior Data Scientist
Yuxuan Xin joined WorldQuant Predictive in April 2019. He received his Ph.D. from Princeton University in Aerospace Engineering. Before joining the WQP team, Yuxuan worked as a software developer and machine learning engineer for 4 years to develop catalysts which reduce emissions of automotive vehicles. He is curious about any questions regarding science, technology, and history.
Yuxuan received his B.S. and M.S. in Chemical Engineering from Tsinghua Univeristy and his Ph.D. in Mechanical and Aerospace Engineering from Princeton University.
Jason Yang
Senior Machine Learning Engineer
Jason Yang joined WorldQuant Predictive in April 2019. He is interested in machine learning, natural language processing, and their scalable/efficient implementations in various real-world scenarios. Before joining WQP, Yang worked at Goldman Sachs. He holds degrees from Brown University and Johns Hopkins University.
Levente Bodrog Ph.D.
Senior Researcher
Levente Bodrog joined the WorldQuant Predictive team in October 2019 with a strong background in stochastic modeling and machine learning. He has worked in the academy and in the industry for small and multinational companies in several fields, including teaching and research, as well as network programming and mobile network management.
Levente received his MSc in electrical engineering and his Ph.D. in informatics at the Budapest University of Technology and Economics. His interests include contemporary literature and sports.
Jacky Kwan
Product Delivery Principal
Jacky Kwan is Product Delivery Principal at WorldQuant Predictive. Working with a team of talented data scientists and researchers, Kwan is responsible for the successful execution of WQP’s predictive solutions. He is well-versed in quantitative techniques and has scaled analytics for clients across a range of industries. His mission is to evangelize data science and help organizations unlock game-changing strategies. Before joining WQP, Kwan was an applied scientist at an AI startup where he adapted many mathematical models to novel use cases. A qualified actuary, Kwan had also served healthcare clients for many years as a management consultant at Deloitte.
Kwan holds a Bachelor of Mathematics in Actuarial Science & Statistics from the University of Waterloo.
Viktor Tisza
Lead Data Scientist
Viktor Tisza joined the WorldQuant Predictive team in January 2020 as Lead Data Scientist. Prior to that, he worked for major multinational companies in the insurance and retail industries conducting various machine learning projects across Europe. He is passionate about finding meaningful machine learning and analytical solutions to tackle challenging business problems. Viktor received his degree from Corvinus University of Budapest.
Ivan Bondarenko
Data Technology Lead
With more than 10 years of experience as a professional engineer, Ivan Bondarenko joined WorldQuant Predictive in April 2020. He has successfully delivered and supported large scale processing engines, data collection, storage, and visualization platforms and tools. His mission is to make data actionable and accessible. Ivan received his B.S. in Aerospace, Electromechanics Engineering and his M.S. in Aerospace Engineering from Dnipropetrovs’kij Nacional’nij Universitet.
Satyajit Dastidar
Product Delivery Principal
New York
Based out of our New York office, Satyajit Dastidar is a Product Delivery Principal at WorldQuant Predictive. Satyajit has over 10 years of experience in strategy consulting and applied data sciences at McKinsey & Company, PwC Advisory and American Express. He specializes in applying machine learning and quantitative methods to optimize marketing and sales strategies across industries. Satyajit holds an MBA from Emory University, Atlanta, as well as a Masters in Economics with specialization in Applied Econometrics.
Nándor Szabó
Senior Data Analyst
Nándor Szabo joined WorldQuant Predictive in September 2020 as a Senior Data Analyst. Prior to joining he worked as a business intelligence and data analytics specialist in a wide range of industries, including retail, pharma, and finance.
His primary focus is to help clients’ businesses by delivering the right insights with the help of a unique blend of technology and business knowledge. His experience includes numerous projects both at multinational and consultancies, including The Boston Consulting Group. Nándor received his degree in Econometrics and Quantitative Economics from Corvinus University of Budapest.
Rebecca Mathew
Product Delivery Principal
Rebecca Mathew is a Product Delivery Principal at WorldQuant Predictive. She brings with her 15 years of consulting & software implementation experience at retailers and consumer goods companies across the globe. She is passionate about helping clients get the most out of their data and analytical tools. Prior to joining WorldQuant Predictive, Rebecca has served clients in retail and CPG at McKinsey & Company, JDA Software (now Blue Yonder), and Symphony Services. Rebecca received her degree from India Gandhi National Open University and Indian Institute of Management Bangalore.
Andrea Boros
Office Manager
Andrea joins WorldQuant Predictive with almost 10 years of experience in office management in different industries, including several startup companies. In 2018 Andrea founded Office Managers’ Group (OMG) in Budapest to create a supportive and creative outlet for administrative workers to come together.
Andrea received her BA in English and American studies at the College of Nyíregyháza. Her favorite activities during her spare time are wall and rock climbing.
Marcell Tóth
Junior Data Analyst
Marcell Dávid Tóth joined WQP in late February 2021 as a Junior Data Analyst. He received his bachelor’s degree in applied mathematics at Eötvös Loránd University and pursued his master’s studies in autonomous systems informatics. While he considers himself more of a science-tech-based person, Marcell enjoys exploring how AI advancements will impact human life, which draws him to sociology and psychology. When Marcell is not at work, he enjoys spending time with his family, playing cards or board games, and reading.
Istvan Ladjanszki
Product Manager
István Ladjánszki joined WorldQuant Predictive in January 2021. He is highly experienced in quantum computing, machine learning, and classical high-performance computing. Before joining WQP István worked at the BrianQC Project as Chief Scientist/Head of Research. He earned his degree in Theoretical Physics from Budapest University of Technology and Economics and an MSc in Quantitative Finance from the Corvinus University of Budapest. István also has an academic research background as one of the first developers of the Quantum Chemistry program package MRCC. Outside of work, István pursues his interests in the philosophy of science and epistemology in machine learning.
Hao Chang
Senior Data Scientist
Hao joined Worldquant Predictive in 2021 as a Senior Data Scientist. He holds a B.S. in Physics from Tsinghua University, and a Ph.D. in Biomedical Engineering from Johns Hopkins University.
His career includes a position at Geometry Healthcare as a principal scientist in charge of data science and medical device design. He has a strong background in applying dynamical systems theory, machine learning, and other computational methods to study physics and biology. He is passionate about understanding the world from a quantitative point of view.
Péter Mósa
Junior Data Engineer
Péter Mósa joined WorldQuant Predictive in June 2021 as a Junior Data Engineer. Prior to joining he worked as a cloud engineer and data engineer in the telecommunication industry.
He is an enthusiastic Data Engineer eager to contribute to team success through hard work, attention to detail, and excellent organizational skills.
Péter received his degree from the Energetic Engineering and Department of Control Engineering from Budapest University of Technology and Economics.
Dávid Parázs
Senior Data Scientist
Dávid joined WorldQuant Predictive in July 2021 as a Senior Data Scientist after spending a decade developing data-intensive and predictive applications across retail digitalization, real-time computing, supply chain management, and refinery planning & optimization. He favours rapid prototyping to quickly deliver tangible business results while leveraging abstraction and systems thinking in the background to create autonomous predictive models.
Dávid holds a B.S. in Chemistry from the Tokyo Institute of Technology and remains an avid self-learner of machine learning theory and practice
Daniel Sorensen
Product Delivery Principal
Daniel Sorensen is a Product Delivery Principal, based in Fort Mill, South Carolina. Daniel has over 8 years of experience in data and analytics strategy, business intelligence solution delivery and operational excellence across financial services in areas such as regulatory remediation and compliance transformation, finance and risk technology, digital banking, credit card, and residential mortgage fulfillment. Prior to joining WQP, Daniel spent most of his career at Accenture in management consulting and strategy. He also served for 7 years in the U.S. Air Force (Air National Guard) as a C-130 Crew Chief. Daniel holds BAs in Mathematics and Philosophy at the University of North Carolina at Charlotte.
Olivér Doktor
GRN Manager
Olivér Doktor Joined WorldQuant Predictive in August 2021 as their Global Research Network Manager. He is experienced in Finance, Econometrics and Project Management. Prior to joining WQP Oliver worked at Morgan Stanley as a Market Risk Analyst and lead the design and implementation of in-house analytical systems for upcoming Fundamental Review of Trading Book. His main focus is to develop, scale and operate the GRN to achieve its full potential. Olivér earned his Bachelor degree as an Economic analyst at Eötvös Lóránd university and a Masters from Corvinus University.
Tatiana Avaeva
Senior UX/UI Designer
Tatiana Avaeva joined WorldQuant Predictive as Senior UX/UI Designer in September 2021. She has 7 years of experience working as UXUI / Visual Designer. Her point of interest is computer-human interaction and visualization. She got her certificate in Desktop Publishing from PLATT college, Newport Beach, CA. She also has 10+ years of experience working in marketing. Tatiana received her B.A. in Fashion Design from Moscow University of Apparel Industry.
Nicholas Hoell, Ph.D
Lead Machine Learning Engineer
Nicholas Hoell is a Lead Machine Learning Engineer for WorldQuant Predictive. Nicholas was a manager at a multinational technical consulting firm where he held leadership roles on machine learning projects in retail, finance, and healthcare sectors and was an Assistant Professor of Mathematics at University of Toronto.
Nicholas holds an undergraduate degree in mathematics from University of California, Berkeley and a doctorate in applied mathematics from Columbia University, NY. In addition to mathematics and technology, he is a lifelong musician, avid crossword solver, voracious reader and enjoys chess.
Eugene Kosoy
Director of Engineering
Eugene Kosoy is a seasoned Digital Transformation leader with a proven track record of excellence in Software Delivery, Program and Project Management of Decision Support, Analytics and Workflow platforms on modern technology stack and public cloud. He possesses extensive experience in leading and mentoring cross-functional engineering teams through adoption of Agile SDLC practices and robust software development processes in large enterprises as well as startups.
Eugene received both undergraduate degrees in Information Technology and MBA from Stern School of Business at New York University. He holds a number of certifications from AWS, Scrum and SAFe.
Global Research Network
Our Global Research Network is made up of data scientists in countries across the globe, thinking around your business challenges. This diversity of experienced talent ensures fresh thinking and eliminates bias.