Egor Kraev Email & Phone Number
@motley.ai
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Who is Egor Kraev? Overview
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Egor Kraev is listed as Co-Founder, CTO at Motley, a with 4 employees, based in Zurich, Switzerland. AeroLeads shows a work email signal at motley.ai and a matched LinkedIn profile for Egor Kraev.
Egor Kraev previously worked as Founder at Motleycrew.Ai and Country Manager at Wise Switzerland. Egor Kraev holds Phd, Macroeconomics (General Equilibrium Models) from University Of Maryland.
Email format at Motley
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About Egor Kraev
With a foundation in the Russian mathematical tradition, refined at at ETH Zurich and the University of Maryland, my journey in machine learning spans decades, crossing from economic and human development analysis to advanced AI applications for business. As the Head of AI at Wise, I've had the privilege of molding its data science landscape, in particular in fraud detection, trading algorithms, causal inference for marketing, and transformative LLM applications throughout the company. My leadership has seen the Wise Data Science team grow from an idea to a powerhouse of over 30 skilled professionals.My passion for AI is not confined to work context; it extends for example into experiments in reinforcement learning for molecular optimization, and generative AI for educational purposes. Currently, my focus is on multi-agent LLM approaches, pushing the envelope for practical applications of GenAI.I am eager to connect with VCs seeking expert guidance, AI startup founders in search of a seasoned collaborator, conference organizers looking for transformative insights, and brilliant minds keen to join me in forging the future of AI. If you're at the forefront of innovation and looking for a partner in navigating the ever-changing landscape of artificial intelligence, let's explore how we can make cool stuff happen together.
Listed skills include Options, Trading, Trading Systems, Trading Strategies, and 13 others.
Egor Kraev's current company
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Egor Kraev work experience
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Country Manager
Current
Head Of Ai
Current
Head Of Ai
Co-heading the data science team, lead Mosaic's AI/ML, in projects using classic ML and neural networksNatural Language, product recommendation, time series, classifiersPytorch, Keras, Tensorflow, RNN, Transformer, encoder-decoder, dynamic programming (error-correcting parsers)
Founder
Consultancy services in advanced data analysis using machine learning techniques (http://dagon.ai).
Founder
Prototyped (Python-scripted CAD, 3D printing, PCB design, microcontroller programming in C++), patented and prepared for production an early childhood toy. http://agoom.co.uk, https://egorkraev.atlassian.net/wiki/x/AoCKAQ .
Global Co-Head Of Business Architecture In The Markets Electronic Trading Project, Director
Designed and prototyped a Bayesian approach to reduce rate curve fitting time from 100ms to 10ms, making pricing both more competitive and more flexible; drove the delivery of IT architecture embodying the math. Yearly project budget of 2 million EUR, team of 15 developers and quant developers.Drove a fundamental re-architecture of Deutsche's pricing and trading systems, for interest rate, credit and FX products.Owned MET's client behavior analytics
Head Quant For Fx Forwards, Director
2009-2012: From scratch, designed, prototyped, and supervised building of a complete eCommerce platform for FX Forwards (FARM), including pricing, risk, trader-facing and client-facing UIs, client analysis, basic algorithmic execution, and high-value trade suggestions that fit a given portfolio. For a year, ran an FX Forwards flow book.
Quantitative Trader, Director
Supervised quant and IT resources involved in: strategy design and implementation; ongoing rebuilding of the marketmaking system; and research on trading signals, execution, and risk.Designed and implemented prop vanilla equity options trading strategies, coordinated refinements to the marketmaking system.
Quantitative Trader, Associate Director
Designed and implemented prop vanilla equity options trading strategies.Supervised quant and IT resources involved in strategy design and implementation, as well as research on trading signals, execution, and risk.
Quantitative Analyst
Analyzed data from vanilla equity option marketmaking, designed improved volatility and correlation estimation techniques.
Macroeconomic Modeling Consultant
Designed and conducted a quantitative assessment of costs of excessive trade liberalization to developing countriesStudy reported upon by Reuters, BBC News, and the Telegraph.
Macroeconomic Modeling Consultant
Created and led the Distributional Effects of Economic Policies (DEEP) economic analysis projectPresented the project at meetings in Accra, London, and Washington, DC
Data Mining Consultant
Designed efficient SQL algorithms to predict a given customer's preferences based on all customers' expressed tastesImplemented nearest neighbor and market basket analysis techniques in PL/pgSQL with Java wrapperOptimized the algorithms' performance on large datasets
Egor Kraev education
Phd, Macroeconomics (General Equilibrium Models)
Dipl. Math. Eth, Partial Differential Equations
Frequently asked questions about Egor Kraev
Quick answers generated from the profile data available on this page.
What company does Egor Kraev work for?
Egor Kraev works for Motley.
What is Egor Kraev's role at Motley?
Egor Kraev is listed as Co-Founder, CTO at Motley.
What is Egor Kraev's email address?
AeroLeads has found 1 work email signal at @motley.ai for Egor Kraev at Motley.
Where is Egor Kraev based?
Egor Kraev is based in Zurich, Switzerland while working with Motley.
What companies has Egor Kraev worked for?
Egor Kraev has worked for Motley, Motleycrew.Ai, Wise Switzerland, Wise, and Mosaic Smart Data.
How can I contact Egor Kraev?
You can use AeroLeads to view verified contact signals for Egor Kraev at Motley, including work email, phone, and LinkedIn data when available.
What schools did Egor Kraev attend?
Egor Kraev holds Phd, Macroeconomics (General Equilibrium Models) from University Of Maryland.
What skills is Egor Kraev known for?
Egor Kraev is listed with skills including Options, Trading, Trading Systems, Trading Strategies, Derivatives, Equities, Economics, and Volatility.
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