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preventing financial crime using data science

Soho × New York City

 

Detectica supports compliance, surveillance, and supervision efforts within the financial, legal, and intelligence industries.

 

Detectica’s products work both alone and in concert to identify malfeasance within and across channels. Trading behavior and electronic communications are monitored and analyzed to identify any unwanted activity.

CONNECTIONS
Detectica Connections infers the social network among employees within and external to a company. By understanding the nuances in relationships between employees, and their interaction with individuals at external entities, Connections facilitates the identification of collusive activities.  For example, Connections ties trading anomalies to related electronic communications between colluding actors.

TRADEANALYZER
Detectica TradeAnalyzer helps audit, track, and identify unauthorized trading activity. Monitor and limit financial risk exposure by using TradeAnalyzer to identify malicious activity within the firm. With TradeAnalyzer, go beyond simple event analysis, and use sophisticated data science approaches to find trade anomalies.

HEIMDALL
Detectica Heimdall identifies and monitors suspicious behavior occurring via electronic communication channels. With machine learning and nuanced identification patterns, Heimdall recognizes a wide range of undesirable activities occurring across channels. Its insights can help to build cases for individual investigations.

CHATANALYZER
Detectica ChatAnalyzer monitors and analyzes the behaviors of employees communicating in chat rooms. ChatAnalyzer identifies patterns and compares them to deal closure. Use it to provide behavioral analytics and supportive insights to employees in sales roles, and improve customer engagement, retention and conversion.  

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Dr. Foster Provost, Co-Founder
Professor of Data Science at NYU Stern School of Business and world-renowned expert in machine learning and fraud detection. His research was the basis for Dstillery, which has gone on to raise over $50 million in funding, where he founded the data science effort. He also was a co-founder of Integral Ad Science, which has since raised over $100 million. Elsewhere in his industry career, he applied advanced technologies to a variety of business and government problems, including fraud detection, counterterrorism, network diagnosis, network monitoring, and customer analysis.

Foster served as the Editor-in-Chief of the journal Machine Learning and co-chaired ACM SIGKDD, the premier data mining conference. He also advises various U.S. Government agencies, including the NSF, NASA, DARPA, and others on policy and investments in data mining research.  He has won numerous awards for his research and is coauthor of the best-selling data science book Data Science for Business.

Dr. Panos Ipeirotis, Co-Founder
Professor of Data Science at NYU Stern School of Business, with a focus on machine learning, content analysis, and integrating humans and machines effectively. Panos served as an early advisor of Integral Ad Science, and has worked as a Visiting Scientist for Google, the World Bank, oDesk, and other startups. His research has received nine “Best Paper” awards and nominations, a CAREER award from the National Science Foundation. Panos was the recipient of the prestigious 2015 Lagrange Prize in Complex Systems.

Dr. Josh Attenberg, Co-Founder & Head of Technology and Data Science
Prior to joining Detetica Josh was the Director of Data Science at Etsy. Prior to Etsy he was on the founding team of Integral Ad Science, serving as Vice President of Data Science. Josh was also a Research Scientist at Yahoo! Research. He received his Ph.D. in Computer Science from NYU, focusing on applications of machine learning. He is currently an Adjunct Professor at NYU Stern School of Business teaching data science, data mining, and machine learning.

 

Jennifer Chin, Director of Product
Jennifer previously managed consumer operations and public relations for Google’s Maps product. She also has experience as a consultant for numerous Fortune 100 companies and NGO’s focusing on corporate responsibility communications. Jennifer received her MEM-MBA from Duke University. In addition, she has undergraduate degrees in both English and Journalism from Northwestern University.

Abe Stanway, Research Engineer
Previously lead data scientist on People Analytics at McKinsey, where he worked directly with the offices of CHROs on engagements around the world. He was also a co-founder of Hacker League (acquired by Intel), and led data engineering projects at Etsy and other startups. Abe holds degrees in Computer Science and Philosophy from Rutgers University. 

Dr. Chathra Hendahewa, Research Engineer
Chathra received her Ph.D. in Computer Science from Rutgers University, where she was a member of the Fulbright Scholarship program. Her research focused on using machine learning and data mining techniques to analyze interactions among individuals, natural language and time series.

 

Dr. Georgios Valkanas, Research Engineer
Prior to joining Detectica George served as a postdoctoral scholar at Stevens Institute of Technology where he developed a machine learning powered course recommendation platform for the Business School. He gained valuable experience and knowledge in large-scale systems by both interning at Yahoo Labs and participating in several EU-funded projects over a 5 year period. Projects included building systems that employ text, graph, and temporal mining techniques for large-scale and heterogeneous data. He received his PhD in Computer Science from the National and Kapodistrian University of Athens, Greece.

Bernando Suryanto, Engineer
Bernando previously served as an infrastructure engineer for Rakuten where he worked on Mesos projects for marketing data. He received his Bachelor’s in Computer Science from NYU.

Bharath Vivekananda Swamy, Engineer
Prior to joining Detectica Bharath was a senior associate at Genpact. There he designed and deployed databases for market research. He received his Masters in Computer Science from NYU’s Polytechnic School of Engineering. There he focused on investigating identity theft techniques through spear phishing and Mechanical Turk.

 

Sherif Mostafa, Product Manager
Prior to Detectica Sherif worked for seven years in the technology industry in various roles, ranging from engineering at IBM to technology advisory and compliance at Ernst & Young. Sherif received his Bachelor's in Computer Science from the American University in Cairo and his MBA from NYU Stern School of Business in Product Management and Corporate Finance.

Matthew Voshell, User Experience Designer
Matthew recently pivoted his career in Washington, D.C. as a U.S. Defense and Intelligence Cyber Security consultant to User Experience design. After accepting a User Experience Design internship at S&P Global he moved to New York City. After which he worked on various projects as a freelance designer. Matthew received his Bachelor’s in Information Technology from George Mason University's Volgenau School of Engineering. He also holds a graduate certificate in User Experience design from the University of California, San Diego.

Peter De Jesus, Office Manager
Peter has over 20 years of experience working in various senior operations and HR roles across a variety of industries, including manufacturing, aeronautics, real estate, and government. He earned a Bachelor’s in Astrophysics and Genetics from Pennsylvania State University.


Patty, Senior Director of Fetch Operations
2 year old border collie and former working dog, actively training in flyball and agility. Patty brings powerful ears and a keen nose to the detectica portfolio. In her spare time, she loves fetch, frisbee, tug, belly rubs and eating treats.

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