Eric Till
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Eric Till Email & Phone Number

Federal Open Market Committee (FOMC) Meetings at Federal Reserve System
Location: Washington, District Of Columbia, United States 8 work roles 1 school
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Role
Federal Open Market Committee (FOMC) Meetings
Location
Washington, District Of Columbia, United States
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Eric Till is listed as Federal Open Market Committee (FOMC) Meetings at Federal Reserve System, a company with 2271 employees, based in Washington, District Of Columbia, United States. AeroLeads shows a matched LinkedIn profile for Eric Till.

Eric Till previously worked as Analyst, Quantitative Models Technology, Federal Reserve Board US Model (FRB/US) at Federal Reserve System and Federal Reserve Balance Sheet Model Integration in FRB/US at Federal Reserve System. Eric Till holds Bachelor Of Science - Bs, Mathematical Economics from American University.

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Federal Reserve System

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About Eric Till

Energetic and driven professional with comprehensive accomplishments in developing large-scale mathematical models, designing and implementing novel solution algorithms, analyzing and solving stochastic dynamical systems, estimating model parameters, visualizing data for analysis and official federal government reports, and leading technology teams to produce insightful and instructive forecasts. Success in developing precise linear and nonlinear solution methods and delivering model-based analysis in fast-paced, highly scrutinized environments. Innovative thinker with a passion for astronomy, physics, planetary and atmospheric science, weather modeling, and climate modeling. Organized, creative problem-solver who excels at guiding teams through challenging, agile projects. Expertise in developing efficient custom algorithms in a variety of programming languages and efficiently communicating their function to stakeholders and colleagues. Accomplishments:• Manage the premier large-scale estimated general equilibrium model of the Federal Reserve (FRB/US).• Codesigned block-newton nonlinear equation solver for the publicly available Python version of FRB/US.• Lead macroeconomic and quantitative programming for 3 of 8 Federal Open Market Committee (FOMC) meetings per year.• Generate forecasts, stochastic simulations, and alternative forecasts under differing conditioning assumptions and associated tables, graphs, and briefing materials for the Board of Governors.• Designed and implemented custom algorithm for embedding endogenous nonlinear balance sheet policy within FRB/US.• Optimized code and algorithm to make large-scale stochastic simulations possible in a performant manner, drastically increasing efficiency and enabling more ambitious experimentation.Expertise:Information Technology, Systems • Mathematical Economics • Advanced Math • Probability • Markov Chain Monte Carlo (MCMC) • Forecasting • Parallel Computing • Numerical Analysis • Mathematical Simulations, Scenarios • Stochastic Simulations • Calculus • Linear Algebra • Statistics • Data Analysis, Modeling, Visualization • Algorithm, Software, Website Development • Open Source • Automation • Cybersecurity • Financial Markets • Macroeconomics • Planetary Science • Atmospheric, Weather, Climate Models • Space Exploration • Government Research • Databases • Physics • Collaboration • Project Management • Problem-Solving

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Federal Reserve System
Federal Reserve System
Federal Open Market Committee (FOMC) Meetings
Washington, DC, US
Website
Employees
2271
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8 roles

Eric Till work experience

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Analyst, Quantitative Models Technology, Federal Reserve Board Us Model (Frb/Us)

Current

Washington DC-Baltimore Area

  • US central bank leading 12 district banks to execute monetary policy to grow employment, stabilize prices and interest rates.
  • Manage the premier large-scale estimated general equilibrium model of the Federal Reserve (FRB/US), which is used to forecast and analyze the U.S. economy using MATLAB, Python and EViews.
  • The public version of FRB/US has 370 variables, 285 standard equations, and supports forming expectations based on previous data as well as model consistent expectations, which rely on the projected future values of.
  • Perform quantitative stochastic simulations that model a detailed U.S. economy to assess future outcomes and risks.
  • Apply numerical optimization methods to solve models capturing complex patterns and relationships in historical data.
  • Codesigned block-newton nonlinear equation solver for the publicly available Python version of FRB/US.
Jan 2013 - Present

Federal Open Market Committee (Fomc) Meetings

Current

Washington DC-Baltimore Area

  • Lead macroeconomic and quantitative programming for 3 of 8 Federal Open Market Committee (FOMC) meetings per year.
  • Generate forecasts, stochastic simulations, and alternative forecasts under differing conditioning assumptions and associated tables, graphs, and briefing materials for the Board of Governors.
  • Adapt quickly to changing circumstances and troubleshoot problems in a high-intensity, time-sensitive environment where accuracy, timeliness, and quality assurance are of utmost importance.
Jan 2013 - Present

Federal Reserve Balance Sheet Model Integration In Frb/Us

Current

Washington DC-Baltimore Area

  • The Federal Reserve's $8.4 trillion balance sheet consists primarily of government securities it has bought and its liabilities, including bank and Treasury reserve balances on deposit with the Federal Reserve and U.S..
  • Despite the importance and prominence of the Federal Reserve's balance sheet policy, there was no existing method of integrating the balance sheet's macroeconomic effects with the FRB/US model.
  • Led the initiative to tackle this difficult and complex problem using novel solution methods and collaboration with a team of 8 economists and programmers.
  • Designed and implemented custom algorithm for embedding endogenous nonlinear balance sheet policy within FRB/US.
  • Optimized code and algorithm to make large-scale stochastic simulations possible in a performant manner, drastically increasing efficiency and enabling more ambitious experimentation.
Jan 2013 - Present

Dynamic Stochastic General Equilibrium Models (Dsge)

Current

Washington DC-Baltimore Area

  • Dynamic Stochastic General Equilibrium models are a type of macroeconomic state space model in which all parameters are estimated simultaneously using Bayesian Statistics and Markov Chain Monte Carlo methods.
  • Employ novel algorithms to impose nonlinear constraints on linearized DSGE models to simulate economic concepts such as Forward Guidance and the Effective Lower Bound.
  • Develop and maintain a suite of DSGE models and accompanying documentation to provide a flexible set of tools for economists.
  • Make use of Kalman Filters to estimate latent variables based on model structure and observed data or to impose certain conditions to create alternative forecasts.
Jan 2013 - Present

Data Visualization

Current

Washington DC-Baltimore Area

  • Create graphs and tables for Federal Open Market Committee (FOMC) meetings, economic research, troubleshooting or general data analysis using R and MATLAB.
Jan 2013 - Present

Web Applications

Current

Washington DC-Baltimore Area

  • Build and maintain interactive JavaScript applications for viewing model metadata.
  • Build and maintain legacy web-based Perl Graphical User Interfaces for control panels and data visualization programs.
  • Use MySQL and PHP for surveys and other ad hoc projects.
Jan 2013 - Present

Linux System Administration

Current

Washington DC-Baltimore Area

  • Manage Windows and Linux operating systems via command line for 10+ years, Bash scripting, Git repositories, and implement complex permission structures for confidential materials.
Jan 2013 - Present
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Colleagues at Federal Reserve System

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1 education record

Eric Till education

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What company does Eric Till work for?

Eric Till works for Federal Reserve System.

What is Eric Till's role at Federal Reserve System?

Eric Till is listed as Federal Open Market Committee (FOMC) Meetings at Federal Reserve System.

Where is Eric Till based?

Eric Till is based in Washington, District Of Columbia, United States while working with Federal Reserve System.

What companies has Eric Till worked for?

Eric Till has worked for Federal Reserve System.

Who are Eric Till's colleagues at Federal Reserve System?

Eric Till's colleagues at Federal Reserve System include Lisa Forni, Ariel L, Alonzo Moreland, Kasey Sobotka, and Regina Watson.

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What schools did Eric Till attend?

Eric Till holds Bachelor Of Science - Bs, Mathematical Economics from American University.

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