Tamara Roust Ph.D. Email & Phone Number

La Grange, IL, US

Washington, District Of Columbia, US

My current role as Senior Policy Advisor is to advise financial regulatory agencies (SEC, CFTC, OCC, etc) on data & AI strategy, AI use cases, cybersecurity & privacy policies.I create governance processes, monitor risks, mentor data scientists and communicate an overall vision for using data and technology. I also educate on AI best practices to ensure.

New York, NY, US

Women Leaders in Data and AI (WLDA) is an exclusive network of women leaders and male allies in data and AI. WLDA is focused on providing community to share best practices, peer to peer learning and to support each other in professional and personal growth. The group consists of women leaders from Fortune 500 companies with similar interests and issues.

Bay Area, California, US

• Build data roadmap for Series A startup, from integration with existing software (Salesforce, Workday, ADP), ETL of data from customers, build out of machine learning (ML) models and large language models (LLMs) to.
• Using statistics and experimentation, build predictive analytics and AI models to provide sales analytics for customer churn, productivity and employee attrition.
• Lead engineering, data and product teams for weekly delivery of software product. (For the first 4 months, I was the only VP and led all 3 teams.)
• Create security and privacy policies and procedures to ensure the security of the technology stack and the privacy of customer data. Write documents to ensure SOC2 Type 2 effectiveness of controls as well as future.
• Administer AWS stack, Jira, Notion, Miro, Github, and implement technology architecture choices.

Chicago, IL, US

Identify revitalization, strategy, technology architecture, fundraising for nonprofit that supports Chicago area families.

Washington, DC, US

#Oversee multiple data governance, digital records management, and data compliance programs throughout the organization in coordination with the Legal, Information Security, and IT departments.#Oversee the development and cross-functional alignment of the enterprise-wide data strategy and associated roadmaps.#Ensure the development of NLP use case from.

US

#Responsible for fostering value creation by means of the organization's data assets and external data ecosystem.#Successfully implemented digital transformation by building an automated pipeline for hospital availability reporting. Resulted in 96% reduction in staff time and reduced time to analysis from hours to minutes. Article.

Washington, DC, US

• Managed small team of quantitative analysts performing data analysis of stress testing and backtesting methodologies, to ensure model performance in comparison to product returns. Monitored programming in SAS, with SQL.
• Evaluated applications of cryptocurrency clearing organizations for business continuity, risk management, information security, operational risk and collateral management.
• Led team performing risk management and information technology audits of systemically important derivatives clearing organizations. Evaluate systemically important derivatives clearing organizations for compliance with.
• Evaluated policies, procedures and standards for cybersecurity, business continuity, capacity planning, development and quality assurance, market risk management, margin modeling, model validation, stress testing and.
• Reviewed application for bitcoin swaps derivative clearing organization for compliance with CFTC regulations on information systems, such as regulations on business continuity and IT controls testing.
• Completed course on bitcoin, blockchain and cryptocurrencies, July 2017.

Washington, DC, US

Managed project to develop automated backtesting and stress testing software using SAS and SQL software on credit default swap instruments. Analyzed data flows, create processes for calculating profit and loss for individual credit default swap instruments, consume 35GB of test data for prior 12 months for prototyping, optimize data flows for future.

Paris, Île-de-France, FR

• Assisted the Chief Risk Officer and Deputy Chief Risk Officer with development and measurement of risk controls, VaR reporting and tracking of exposures in over 100 hedge fund investments. Measured risk controls.
• Analyzed hedge fund investments for idiosyncratic risk (examples: due to industry / sector / geographic exposures, use of internal pricing models, dependence on a single prime broker, etc.).
• Created automated weekly and monthly reports using Excel / VBA macros, Matlab scripts, SQL database queries and Bloomberg for recurring tasks (example: striking of NAV). Achieved a 95% reduction in production time.
• Assisted Research, Portfolio Management and Due Diligence with quantitative modeling and risk analytics, esp. pertaining to hedge fund performance. Evaluated data flow internally and externally to determine what.
• Determined and modeled performance and risk of hedge funds (e.g., leverage, liquidity, drawdowns) to assess overall position of portfolios using both third-party tools (RiskData) and internally developed tools.
• Evaluated third-party data vendors for ability to provide technological solutions and interfaced with IT to develop internal solutions whenever possible.

Santa Monica, CA, US

• Analyzed fundamental factors (e.g., book / price, volatility) for predicting returns in Dow Jones-Wilshire Style Indexes. [Results featured in Allan Sloan Newsweek column dated, April 3, 2006. Information on indexes.
• Developed and test multifactor econometric models for estimating global equity returns (e.g., along lines of Arbitrage Pricing Theory). Wrote white papers and presented results to senior portfolio managers at.
• Automated release of return predictions to clients daily and monthly using Visual Basic, shell scripting and Matlab. Develop programs for monthly automated upload of charts, presentations, etc., to internal websites.

Pasadena, CA, US

• Directed team of cost analysts and performed cost analysis for various flight project proposals, using project management principles, resulting in $355M in projects awarded to JPL to date.
• Created econometric cost modeling software, algorithms and graphical user interfaces (GUIs), using Visual Basic.
• Developed Visual Basic, C/C++, and Java applications to Oracle databases.
• Received Notable Organizational Value Added (NOVA) Awards for outstanding achievement: Nov 1999, Jul 2001

Phd, Management Information Systems

Ms, Financial Engineering

Ms, Management Information Systems

Mba, Finance, Strategy

Bs, Mathematics, Computer Science