Dale Rosenthal Email & Phone Number
area 718, 312, and 212
LinkedIn matched
Who is Dale Rosenthal? Overview
A concise factual answer block for searchers comparing this professional profile.
Dale Rosenthal is listed as Research Director at Parametric/Morgan Stanley • Ex-Professor • Published author • Quant Finance • Market Microstructure+Financial Econometrics Researcher at Parametric, based in Chicago, Illinois, United States. AeroLeads shows phone signal with area code 718, 312, 212 and a matched LinkedIn profile for Dale Rosenthal.
Dale Rosenthal previously worked as Director, Derivatives Research at Parametric and Head Partner at Q36 Llc. Dale Rosenthal holds Doctor Of Philosophy - Phd, Statistics from University Of Chicago.
Email format at Parametric
This section adds company-level context without repeating Dale Rosenthal's masked contact details.
Review company-level records connected to Dale Rosenthal before choosing the right outreach path.
About Dale Rosenthal
Ex-LTCM and Morgan Stanley (ETL) senior quantitative researcher and trader with significant experience creating automated trading strategies. At Morgan, my proprietary strategies earned anywhere from $20MM to $70MM annually for the firm, typically on capital of $30MM (max $200MM). I left ETL to get my PhD in statistics from the University of Chicago. Have consulted for trading shops and the IC. Head Partner of Q36; author of _A Quantitative Primer on Investments with R_. Recovering academic having taught at UIUC, Notre Dame, Renmin, UIC, and UChicago. My goals: better and more robust alpha harvesting, investment management, and market structures.Specialties: Previously Series 7, 63, and 55 licensed.
Listed skills include Derivatives, Equities, Trading, Finance, and 46 others.
Dale Rosenthal's current company
Company context helps verify the profile and gives searchers a useful next step.
Dale Rosenthal work experience
A career timeline built from the work history available for this profile.
Head Partner
CurrentConsulting: Head Data Scientist, Alternatives Asset Management Firm ($60 bn AUM), Chicago Oct 2020–Nov 2021• Modeled, explained, and deployed new firm-wide fund alpha predictions and rankings.• New fund ranking model yielded 120 bp (21 bp std error) higher out-of-sample returns vs old rankings.• Changed firm-wide historical alpha models (equity, credit) to be stable and economically-sensible.• Built system to retrieve, process, analyze, and aggregate noisy regulatory text filings.• Combined information to augment firm data, decompose alpha, focus on value, and avoid drag.Trading: Futures Jan 2018–June 2020• Trade signal-based short-term Eurodollar strategy based on research and backtesting• Built and traded risk-anticipating Eurodollar market-making strategy• Coded strategies in TT ADL to enable colocation and microsecond-level response times• Reduced trading costs via lease of IMM 106D seat on CME• Commissioned creation of research infrastructure on AWS with Athena for querying• Oversaw research data population: evaluation, purchase, ingest, checking, and aggregation• Managed three summer interns including incentivizing, mentoring, and listening• Advised interns on researching short-term FX futures strategy
Member, Financial Markets Working Group
CurrentCo-Organizer
CurrentConsultant
Current• Proprietary trading Firm, Chicago:-- Designed and built infrastructure to research and backtest short-term futures strategies.-- Modeled STIRs futures strategies returns and risk using Python and R.-- Backtested STIRs strategies to assess entry, exit, performance. (Sharpe ratios: 2-6).• Intelligence Advanced Research Projects Activity (IARPA, MATCHES), Washington DC:-- Subject matter expert on statistics, finance and trading for intelligence community projects.-- Critiqued projects to encourage early success, discourage later problems.-- Demonstrated ability to predict critical non-financial information using financial data.• Multi-Strategy Proprietary Trading Firm, Chicago:-- Designed and taught short course on financial data analysis.• Legal Team for Large Pharmaceutical Firm, Chicago:-- Advised on statistical tests of comparative drug efficacy.-- Rebuffed attempts to skew results or use questionable statistical methods.
Adjunct Professor Of Finance
• Taught quantitative investments (using R and real data) in the Masters of Financial Engineering and Finance programs• Advised and guided project analyzing Treasury bond futures bases
Adjunct Professor Of Finance
• Taught quantitative investments (using R and real data) in the Masters of Finance program
Assistant Professor, Finance
• Taught Introduction to Investments and Investments.• Developed and taught completely new market-oriented courses:-- Market Microstructure and Electronic Trading;-- Commodities, Energy, and Related Markets; and,-- Financial Innovation: Microfinance.• Courses taught students to analyze real data:-- assessed risk and explore risk factors across fixed income, equities, and commodities;-- modeled evolution of corn-crush, crack spreads vs time, price levels, and feedstock changes-- analyzed market quality, liquidity, and effects of government intervention;-- valued peaker plant and simple refineries (ethanol, petroleum) under various market dynamics and regimes; and,-- predicted petroleum industry profitability from various crack spread models.• Researched:-- Effects of central clearing during distress;-- Interplay of market liquidity and funding liquidity;-- Effects of transaction taxes on market quality;-- Link between market efficiency and allocative efficiency.• Presented research on financial distress and market microstructure at central banks, universities, and conferences.• Published in the Journal of Financial Econometrics and Journal of Empirical Finance.
Trader (In Grad School)
• Automated data gathering and computed analytics to estimate robust mean-reversion alphas.• Managed trade entry and exit of $22k ($18k long, $4k cash) 6x6 name long-short equity portfolio.• Hedged with ETFs.• Made 23% return (despite 18% cash); daily P&L volatility of 1.4%; Sharpe ratio of 1.04.• Had a ridiculous amount of fun seeing how to build a small quant system.• My trading was featured in the 18 May 2009 Barron's article "The Trouble With Transparency."
Vice President, Equity Trading Lab
Proprietary trading and quantitative research.• Analyzed liquidity (visible and hidden) on ECNs.• Inferred liquidity and risk tolerances at competing market makers.• Estimated US and European price impact models using multiple models and data sources.• Ran (modeled and traded) proprietary liquidity-based strategy.• Modeled, traded, and managed risk for index inclusion strategy.• Received Series 7, 63, 55.
Strategist
• Created equity derivative risk systems.• Coded basket swap trade structuring software.• Structured basket swaps to facilitate index arb strategy.• Synthetically shorted to yield robust hedging for Japanese warrants and convertible bonds.• Helped trade Japanese warrants.
Intern Programmer/Analyst
• Wrote interprocess communication code to allocate trade bookings to clients.• Assisted outside consultant to ensure delivery of same-day settlement infrastructure.
Dale Rosenthal education
Doctor Of Philosophy - Phd, Statistics
Visiting Phd Student
Bachelor Of Science - Bs, Electrical Engineering
Frequently asked questions about Dale Rosenthal
Quick answers generated from the profile data available on this page.
What company does Dale Rosenthal work for?
Dale Rosenthal works for Parametric.
What is Dale Rosenthal's role at Parametric?
Dale Rosenthal is listed as Research Director at Parametric/Morgan Stanley • Ex-Professor • Published author • Quant Finance • Market Microstructure+Financial Econometrics Researcher at Parametric.
What is Dale Rosenthal's phone number?
AeroLeads has found 5 phone signal(s) with area code 718, 312, 212 for Dale Rosenthal at Parametric.
Where is Dale Rosenthal based?
Dale Rosenthal is based in Chicago, Illinois, United States while working with Parametric.
What companies has Dale Rosenthal worked for?
Dale Rosenthal has worked for Parametric, Q36 Llc, Federal Reserve Bank Of Chicago, R/Finance Conference, and Self-Employed.
How can I contact Dale Rosenthal?
You can use AeroLeads to view verified contact signals for Dale Rosenthal at Parametric, including work email, phone, and LinkedIn data when available.
What schools did Dale Rosenthal attend?
Dale Rosenthal holds Doctor Of Philosophy - Phd, Statistics from University Of Chicago.
What skills is Dale Rosenthal known for?
Dale Rosenthal is listed with skills including Derivatives, Equities, Trading, Finance, R, Trading Strategies, Statistics, and Commodity.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial