Stanislav Khrapov
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Stanislav Khrapov Email & Phone Number

Senior Machine Learning Engineer at ING Deutschland
Location: Frankfurt, Hesse, Germany 9 work roles 4 schools
1 work email found @nes.ru LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email s****@nes.ru
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Current company
Role
Senior Machine Learning Engineer
Location
Frankfurt, Hesse, Germany
Company size

Who is Stanislav Khrapov? Overview

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Quick answer

Stanislav Khrapov is listed as Senior Machine Learning Engineer at ING Deutschland, a company with 11 employees, based in Frankfurt, Hesse, Germany. AeroLeads shows a work email signal at nes.ru and a matched LinkedIn profile for Stanislav Khrapov.

Stanislav Khrapov previously worked as Lead Data Scientist at M2Hycon Gmbh and Senior Data Scientist at Chintai. Stanislav Khrapov holds Phd, Economics, Financial Econometrics from University Of North Carolina At Chapel Hill.

Company email context

Email format at ING Deutschland

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{first_initial}{last}@nes.ru
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Profile bio

About Stanislav Khrapov

I am a full stack Machine Learning engineer with many years of hands-on experience building and managing data science projects starting from data ingestion, modelling, and finishing with cloud deployment and monitoring services. I am passionate about data, automation, code quality, visualisation, and communicating with both technical and non-technical stakeholders.

Listed skills include Econometrics, Statistics, Time Series Analysis, Economics, and 30 others.

Current workplace

Stanislav Khrapov's current company

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ING Deutschland
Ing Deutschland
Senior Machine Learning Engineer
Frankfurt, HE, DE
Website
Employees
11
AeroLeads page
9 roles

Stanislav Khrapov work experience

A career timeline built from the work history available for this profile.

Lead Data Scientist

Current

Hamburg, Germany

- Developed failure detection system for installation process of industrial machines.- Replaced existing neural network model with substantially simpler, faster and more performantclassification algorithms allowing for greater explainability and faster experimentation cycle.- Increased transparency and clarity of communication with key stakeholders by.

Jan 2024 - Present

Senior Data Scientist

Frankfurt Am Main, Hesse, Germany

- Developed trade surveillance system based on unsupervised time series classification machine learning models. Built realistic exchange market simulation with heterogeneous traders. Wrote and open sources fast Python-based order book matching engine (https://github.com/chintai-platform/OrderBookMatchingEngine). Designed a fully automated and reproducible.

Jul 2022 - Dec 2023

Data Scientist

Frankfurt Am Main Area, Germany

- Designed and implemented custom time series models for forecasting of market freight prices and volumes, company internal financial indicators (EBIT, revenue, receivables, payables, etc.) to facilitate data-driven pricing decisions and liquidity planning.- Designed and implemented recommendation system to digitize and automate ground trasportation.

Apr 2018 - Jul 2022

Assistant Professor Of Finance

Moscow, Russian Federation

Research: Conducted research independently as well as with co-authors in the fields of financial econometrics, option pricing, volatility modelling​.Searched and surveyed all relevant literature on the subject. Collected, cleaned, and analyzed complex data from such sources as OptionMetrics, CRSP, TAQ, Compustat, Quandl. Collected unstructured data using.

Jul 2011 - Apr 2018

Teaching Assistant

Chapel Hill, NC

Teaching: Recitations in graduate classes: Intro to Probability Theory, Applied Econometrics, Advanced Econometrics.

Aug 2006 - Jul 2011

Summer Intern

Sas

Cary, NC

May - Aug 2007, 2008, 2009, 2010- Programmed C module for estimation of GEE type models.- Wrote examples of usage of new Copula procedure- Participated in writing of future publication “SAS/ETS User’s Guide” by drafting chapters on time series models- Added examples of usage and edited manuals for SAS/ETS procedures- Programmed GUI in JMP for analysis of.

May 2007 - Aug 2010

Intern

New York, NY

Improved annual statistical report on contributions and expendituresof member countries by implementing multi-year perspective

Jul 2005 - Sep 2005

Research Assistant

Novosibirsk Institute Of Economics

Novosibirsk, Russian Federation

Analyzed current statistics, reviewed recent publications

Feb 2003 - Jul 2004
Team & coworkers

Colleagues at ING Deutschland

Other employees you can reach at m2hycon.com. View company contacts for 11 employees →

4 education records

Stanislav Khrapov education

Ma, Economics, Econometrics

Thesis - "Censored Regression Models: An Empirical Investigation of Charitable Donations"

FAQ

Frequently asked questions about Stanislav Khrapov

Quick answers generated from the profile data available on this page.

What company does Stanislav Khrapov work for?

Stanislav Khrapov works for ING Deutschland.

What is Stanislav Khrapov's role at ING Deutschland?

Stanislav Khrapov is listed as Senior Machine Learning Engineer at ING Deutschland.

What is Stanislav Khrapov's email address?

AeroLeads has found 1 work email signal at @nes.ru for Stanislav Khrapov at ING Deutschland.

Where is Stanislav Khrapov based?

Stanislav Khrapov is based in Frankfurt, Hesse, Germany while working with ING Deutschland.

What companies has Stanislav Khrapov worked for?

Stanislav Khrapov has worked for Ing Deutschland, M2Hycon Gmbh, Chintai, Db Schenker, and New Economic School.

Who are Stanislav Khrapov's colleagues at ING Deutschland?

Stanislav Khrapov's colleagues at ING Deutschland include Till Jäkel, Mohamed Alaa Abdelwahab, Till Jäkel, Elisa J., and Mark W.

How can I contact Stanislav Khrapov?

You can use AeroLeads to view verified contact signals for Stanislav Khrapov at ING Deutschland, including work email, phone, and LinkedIn data when available.

What schools did Stanislav Khrapov attend?

Stanislav Khrapov holds Phd, Economics, Financial Econometrics from University Of North Carolina At Chapel Hill.

What skills is Stanislav Khrapov known for?

Stanislav Khrapov is listed with skills including Econometrics, Statistics, Time Series Analysis, Economics, Latex, Data Analysis, Research, and Statistical Modeling.

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