Research Engineer
Current
Oct 2023 - Present
AeroLeads people directory · profile
Steven Pav Email & Phone Number
Research Engineer
at
Helm.ai
1 work email found
@opendoor.com
LinkedIn matched
✓ Verified July 2026
4 data sources
Profile completeness 100%
Who is Steven Pav? Overview
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Quick answer
Steven Pav is listed as Research Engineer at Helm.ai, based in San Francisco, California, United States. AeroLeads shows a work email signal at opendoor.com and a matched LinkedIn profile for Steven Pav.
Steven Pav previously worked as Senior Research Scientist at Opendoor and Director, Senior Quantitative Financial Analyst at Bank Of America. Steven Pav holds Doctor Of Philosophy (Ph.D.), Mathematics from Carnegie Mellon University.
Company email context
Email format at Helm.ai
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{first}.{last}@opendoor.com
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AeroLeads found 1 current-domain work email signal for Steven Pav. Compare company email patterns before reaching out.
Profile bio
About Steven Pav
I am perhaps the world's leading authority on the statistics of the Sharpe ratio, and the Markowitz portfolio, and author of "The Sharpe Ratio: Statistics and Applications", published by CRC Press (2021).I solve hard problems in quantitative finance using math and statistics, via theory and experimentation. I specialize in building and testing quantitative trading systems and strategies using 'machine learning' and statistical techniques. I wrote and maintain a dozen R packages on CRAN for: testing portfolios, computing rolling sums, approximating and testing distributions, performing selective inference, creating recursive mazes, and discovering new cocktails.Keywords: Sharpe ratio, Markowitz portfolio, financial statistics, portfolio construction, regression, optimization, applied mathematics, quantitative investing, quantitative finance, quantitative research, machine learning, AI, hedge fund, CRAN, R programmer.
Listed skills include Matlab, Statistics, Portfolio Management, Research, and 24 others.
Current workplace
Steven Pav's current company
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9 roles
Steven Pav work experience
A career timeline built from the work history available for this profile.
Senior Research Scientist
Jul 2021 - Oct 2023
Director, Senior Quantitative Financial Analyst
Built complex models for forecasting equity portfolio revenue, valuing REO properties, and forecasting losses and balances on consumer credit cards for CCAR stress-testing.
May 2016 - May 2021
Lead Data Scientist
Applied quantitative techniques to optimize return on investment on a portfolioof film rights. Scraped and gathered data, architected databases, linked data from numerous sources, posed and answered research questions in the realm of film metrics. Built a model for green-lighting film projects based on historical performance. Used standard natural language processing techniques, graph theory, and linear algebra to cluster, compare, and analyze films.
Sep 2015 - Mar 2016
Quantitative Strategist
Designed and implemented backtest, execution, and research infrastructure in Matlab and C for a daily trading system on equities and volatility futures at a small quantitative hedge fund. Created, coded, and analyzed machine learning quantitative strategies. Devised methods to correct for overfit bias in the backtesting and strategy development process. Solved a wide range of prediction and analysis problems with a mix of statistical theory, experimentation, simulation, and production coding.
Jul 2008 - Jul 2015
Partner
Jury Consultancy Partnership
Performed various statistical analyses, including experimental design, stratified sampling, and regression analysis.
Nov 2013 - Oct 2014
Quantitative Analyst
Convexus Advisors
Refined, coded, and executed a technical trading system on U.S. equities at a boutique hedge fund. Developed and analyzed technical and fundamental models using kernel-based machine learning methods. Designed and implemented a backtesting simulator to evaluate trading models.
Jan 2007 - May 2008
Senior Research Scientist
Devised methods for noninvasive estimation of blood analyte concentration. Successfully communicated highly technical information to nontechnical audiences, including attorneys and management.
Jul 2005 - Dec 2006
S. E. Warcharski Visiting Assistant Professor
A teaching post-doc position. I continued research into mesh generation, using C++ and the CGAL library. Organizing committee for IMR conference.
Sep 2003 - May 2005
5 education records
Steven Pav education
Doctor Of Philosophy (Ph.D.), Mathematics
Carnegie Mellon University
Master’S Degree, Mathematics
Indiana University Bloomington
Bachelor’S Degree, Ceramic Engineering Science
Alfred University
Bachelor’S Degree, Mathematics
Alfred University
Mathematics
Hcssim
FAQ
Frequently asked questions about Steven Pav
Quick answers generated from the profile data available on this page.
What company does Steven Pav work for?
Steven Pav works for Helm.ai.
What is Steven Pav's role at Helm.ai?
Steven Pav is listed as Research Engineer at Helm.ai.
What is Steven Pav's email address?
AeroLeads has found 1 work email signal at @opendoor.com for Steven Pav at Helm.ai.
Where is Steven Pav based?
Steven Pav is based in San Francisco, California, United States while working with Helm.ai.
What companies has Steven Pav worked for?
Steven Pav has worked for Helm.Ai, Opendoor, Bank Of America, Corecast, and Cerebellum Capital, Inc.
How can I contact Steven Pav?
You can use AeroLeads to view verified contact signals for Steven Pav at Helm.ai, including work email, phone, and LinkedIn data when available.
What schools did Steven Pav attend?
Steven Pav holds Doctor Of Philosophy (Ph.D.), Mathematics from Carnegie Mellon University.
What skills is Steven Pav known for?
Steven Pav is listed with skills including Matlab, Statistics, Portfolio Management, Research, Regression, Optimization, R, and Equities.
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