Alexei (Alex) Kisselev

Alexei (Alex) Kisselev Email and Phone Number

Director of Housing Analytics at Kukun | PropTech Data and Predictive Analytics @ Kukun
menlo park, california, united states
Alexei (Alex) Kisselev's Location
Washington DC-Baltimore Area, United States
Alexei (Alex) Kisselev's Contact Details

Alexei (Alex) Kisselev work email

Alexei (Alex) Kisselev personal email

About Alexei (Alex) Kisselev

Expert in big data driven business intelligence for leading financial corporations. Experienced in credit and operational risk, automated valuation, and cash flow quantitative modeling. Outstanding analytical abilities and leadership skills, hard-science background.EXPERTISE AND QUALIFICATIONS* Proven ability to lead and manage personnel and resources for key strategic efforts in mutidisciplinary goal-oriented environments.* Econometric and statistical modeling to support automated valuation (AVM), underwriting, credit risk and portfolio management, acquisitions and other business decisions: from concept design through validation and production. * Economics and financial analytics applied to (i) mortgage and real estate; (ii) credit card business.* Real property transaction and characteristics data, customer data, credit bureau information. Statistical data mining, large-scale datasets, data structures: MS SQL, Oracle, Teradata. Data visualization: Tableau, SAS WRS/VA.* Design of experiments and data analysis, multivariate regression, decision tree, GIS analysis techniques. Numerical algorithms, optimization, stochastic modeling and simulation expertise.* Expert-level programming and scripting skills (UNIX and MS Windows):+ R, SAS, SQL, Python, MATLAB, C/C++, Java.* Excellent teamwork, teaching, training and presentation skills.

Alexei (Alex) Kisselev's Current Company Details
Kukun

Kukun

View
Director of Housing Analytics at Kukun | PropTech Data and Predictive Analytics
menlo park, california, united states
Website:
mykukun.com
Employees:
48
Alexei (Alex) Kisselev Work Experience Details
  • Kukun
    Director Of Analytics
    Kukun 2021 - Present
    Menlo Park, California, United States
    Primarily responsible for developing, scaling, and productionalizing Kukun's Automated Valuation Models (AVMs) for both B2B and B2C applications.
  • George Mason University
    Adjunct Professor
    George Mason University 2020 - 2022
    Fairfax, Virginia, United States
    Teaching Python-based classes on Scientific Data Mining using Jupiter notebooks and Blackboard tools. Developing instructional materials, computational projects and educational methodologies for science, engineering and business majors.
  • George Mason University
    Data Analytics Consultant
    George Mason University 2019 - 2020
    Fairfax, Virginia, United States
    Data science and analytics expert services, predictive modeling and analysis of the data collected using assistive technology applications and as part of STEM education projects. Leading an effort on developing an analytical and data visualization platform.
  • American Bankers Association
    Senior Consultant And Advisor, Quantitative Analytics
    American Bankers Association 2020 - 2021
    Washington, Dc
    Lead the complete transformation of analytics and reporting platform for ABA Data Sharing Consortium. Consulted the Benchmarking and Surveys department through the reorganization transition by providing critical mentorship, domain expertise and institutional knowledge.
  • American Bankers Association
    Director Of Quantitative Research
    American Bankers Association 2016 - 2019
    Washington, Dc
    Lead the development of advanced analytics using the operational loss data collected by ABA Consortium from member banks: developing appropriate procedures to test hypotheses related to the distribution of loss events, scaling of losses, ops loss projection for stress testing purposes; reviewing regulatory guidance on CCAR/DFAST stress test, Basel II AMA and economic capital modeling. Ran member working groups with large banks risk managers and operational risk modelers.
  • Silver Bay Realty Trust Corp.
    Director Of Data Analytics
    Silver Bay Realty Trust Corp. 2014 - 2016
    New York, Ny
    (prior to October 2014 subsidiary of Pine River Capital Management)Was in charge of collateral valuation and rental market analytics platform in support of a billion dollar business, reporting directly to CEO. Led the development of in-house AVM models and related infrastructure from the ground up to production. Played a key role in Silver Bay's growth from a business idea through the initial public offering to its becoming a leading firm in the single-family rental business. Compiled macro level housing outlooks for key US markets.
  • Pine River Capital Management
    Director - Data Analytics, Silver Bay
    Pine River Capital Management 2012 - 2014
    New York, Ny
    Developed collateral valuation and rental market analytics platform that was instrumental in Silver Bay's growth from an investment strategy to an independent public company (NYSE: "SBY"). Supported mortgage backed securities (MBS) research.
  • Fannie Mae
    Senior Economist
    Fannie Mae 2009 - 2012
    Washington, Dc
    Federal National Mortgage Association (FNMA)Credit Risk Analytics & Monitoring (CRAM) | Underwriting & PricingDeveloped state of the art collateral valuation tool using the largest repositories of real estate data in existence -- the full AVM suit which includes: hedonic pricing, comparable sales, mark-to-market, tax and value confidence models. Supported integration of this analytical engine into an internal web-based application, outperforming industry standards. Filed a number of US patents.
  • Capital One Financial Corp.
    Senior Analyst
    Capital One Financial Corp. 2007 - 2009
    Mclean, Va
    Valuations and Decisioning Infrastructure (VaDI) | US Card AcquisitionsDeveloped and improved quantitative models, including cash-flow, charge-off, leading edge delinquency, probability of default or balance transfer, including dollar amount. Designed and supervised implementation of an efficiency improving toolkit for SAS-NPV engine, resulting in additional NPV model functionality and automation of business leadership report generation.
  • Pennsylvania State University
    Research Assistant
    Pennsylvania State University 2001 - 2007
    University Park, Pennsylvania, United States
    RA: Polymer Physics Group, Dept. of Materials Science & Engineering, Penn State U. (PSU)Conducted academic research featured in multiple international journals and published as a book by VDM Publishing: Monte Carlo and molecular dynamics simulations; numerical and analytical solutions of large-scale systems of nonlinear equations.Taught a variety of physics courses from engineering and honors sequences.
  • Penn State University
    System Administrator
    Penn State University 2001 - 2007
    University Park, Pennsylvania, United States
    Polymer Physics GroupConfigured and maintained a seven-node Beowulf-type Linux cluster with LAM/MPI interface for parallel computing, primarily large-scale molecular simulations with GroMaCS. Configured and maintained a number of Red Hat Linux workstations used for running various types of molecular simulation codes in serial. Configured and managed group mail, web, print, file servers on Red Hat Linux platform, performed routine administrative tasks, managed user accounts.
  • Cornell University
    Research Assistant
    Cornell University 1998 - 2001
    Ithaca, Ny
    Investigated radiation, flash-freezing and dehydration damages in protein crystals using X-ray scattering. Performed data acquisition, analysis and interpretation using several scientific software packages and generic C code.
  • Max-Planck-Institut Fur Kolloid Und Grenzflachenforschung
    Intern
    Max-Planck-Institut Fur Kolloid Und Grenzflachenforschung Mar 1998 - Apr 1998
    Berlin, Germany
    Visiting Student / Intern in Theory Group at Max Planck Institute for Colloids and Interfaces, Telow.Performed X-ray scattering experiments on hexagonal phospholipid phase. Gave an invited presentation at MPI seminar series upon completion of the internship.
  • Joint Institute For Nuclear Research
    Research Assistant
    Joint Institute For Nuclear Research 1996 - 1998
    Dubna, Russia
    RA: Small-Angle Scattering Group, Frank Lab. of Neutron Physics, Joint Inst. for Nuclear Research (JINR)

Alexei (Alex) Kisselev Skills

Sas Data Analysis Data Mining Credit Risk Matlab Econometrics Collateral Management Risk Modeling Monte Carlo Simulation Sql Credit Cards Mortgage Lending Avm Computational Physics Numerical Modeling Underwriting

Alexei (Alex) Kisselev Education Details

Frequently Asked Questions about Alexei (Alex) Kisselev

What company does Alexei (Alex) Kisselev work for?

Alexei (Alex) Kisselev works for Kukun

What is Alexei (Alex) Kisselev's role at the current company?

Alexei (Alex) Kisselev's current role is Director of Housing Analytics at Kukun | PropTech Data and Predictive Analytics.

What is Alexei (Alex) Kisselev's email address?

Alexei (Alex) Kisselev's email address is ak****@****gmu.edu

What schools did Alexei (Alex) Kisselev attend?

Alexei (Alex) Kisselev attended Moscow Institute Of Physics & Technology, Penn State University, Московский Физико-Технический Институт.

What skills is Alexei (Alex) Kisselev known for?

Alexei (Alex) Kisselev has skills like Sas, Data Analysis, Data Mining, Credit Risk, Matlab, Econometrics, Collateral Management, Risk Modeling, Monte Carlo Simulation, Sql, Credit Cards, Mortgage Lending.

Who are Alexei (Alex) Kisselev's colleagues?

Alexei (Alex) Kisselev's colleagues are West King, Joaquin Marticorena, Cameron Simons, Kalyanraj Prabaakaran, Rafael Urbina, Brenden Shue, Sthefany Linares.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.