Full-Time Nonacademic Economist Amazon Consumer Division Department of Economics DOE 2014-11-30 00:00:00 Amazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment. Economists at Amazon will be expected to work directly with the chief economist and senior management on key business problems faced in retail, international retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations. Amazon economists will apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company. Salaries will be competitive and will include equity compensation. Please forward a cover letter, curriculum vita, research sample and letters of recommendation to economist-careers@amazon.com. In your cover letter, please also indicate your preferred start date. Amazon will be at the AEA/ASSA conference in Boston but will certainly consider candidates prior to the January conference – we will consider candidates with start dates as early as October 2014 and as late as August 2015. Basic Qualifications • PhD in Economics or anticipating completion of a PhD Economics by August 2015 Preferred Qualifications • Two to three years of experience in private consulting, government, or in academic research • Strong background in econometrics (e.g., program evaluation, forecasting, time series, panel data, and/or high dimensional problems), economic theory, and quantitative methods • Ability to work in a fast-paced business environment • Strong applied research track record in industrial organization, applied econometrics, labor economics, development economics, public economics, applied macroeconomics, quantitative marketing, or a related field • Hands on experience with at least one of the following: Matlab, R, SAS, Stata • Experience with SQL and/or with languages such as Python, Java, C++, Ruby is a plus. • Effective verbal and written communication skills Amazon is an Equal-Opportunity Employer. UNITED STATES Washington Seattle O4 Economic Growth and Aggregate Productivity L4 Antitrust Issues and Policies G3 Corporate Finance and Governance Full-Time Nonacademic Senior Economist Amazon Consumer Division Economics Department DOE 2014-11-30 00:00:00 Amazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment. Economists at Amazon will be expected to work directly with the chief economist and senior management on key business problems faced in retail, international retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations. Amazon economists will apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company. Senior Economists at Amazon are expected to come prepared to drive analysis shortly after arrival at Amazon. This entails owning model development, deployment and driving adoption of our approaches among internal customers. Salaries will be competitive and will include equity compensation. Please forward a cover letter, curriculum vita, research sample and letters of recommendation to economist-careers@amazon.com. In your cover letter, please also indicate your preferred start date. Amazon will be at the AEA/ASSA conference in Boston but will certainly consider candidates prior to the January conference – we will consider candidates with start dates as early as October 2014 and on a rolling basis thereafter. Basic Qualifications • PhD in Economics • Four or more years of experience in private consulting, government, or in academic research Preferred Qualifications • Strong background in econometrics (e.g., program evaluation, forecasting, time series, panel data, and/or high dimensional problems), economic theory, and quantitative methods • Ability to work in a fast-paced business environment • Strong applied research track record in industrial organization, applied econometrics, labor economics, development economics, public economics, applied macroeconomics, quantitative marketing, or a related field • Hands on experience with at least one of the following: Matlab, R, SAS, Stata • Experience with SQL and/or with languages such as Python, Java, C++, Ruby is a plus. • Effective verbal and written communication skills • Experience preparing and delivering executive level presentations • Prior people management experience Amazon is an Equal-Opportunity Employer Econometrics UNITED STATES Washington Seattle O4 Economic Growth and Aggregate Productivity Full-Time Nonacademic Quantitative Analyst General Electric Capital Corporation Risk Management Quantitative Methodologies 2015-01-31 00:00:00 Role Summary: The Quantitative Analyst acts as a primary contributor to the development, management and continuous enhancement of GECC’s quantitative risk methodologies. In this role, the analyst will interact extensively with peers within a large quantitative methodologies team (100+ quants), as well GECC’s business units globally, and GE’s Global Research Center. Responsibilities: • Participate in development of models used for regulatory stress tests, regulatory capital, and economic capital • Model development focus is on Commercial Probability of Default, Loss Given Default, and Exposure forecasts, but roles also exist in Valuation, Market Risk, and Pre-Provision Net Revenue modeling • Maintain expertise on latest developments in risk methodologies from academia, regulatory bodies, and industry Qualifications: • Ph.D. in a quantitative discipline (e.g. Economics, Finance, Statistics, ...) • Excellent written/oral communication skills, with ability to write technical documents • Advanced programming skills (e.g., SAS, R, Matlab, C++, python, SQL, VBA, ...) • Knowledge of relevant regulatory requirements and expectations, including Basel/CCAR frameworks • Proficiency in managing and analyzing large data sets Banking and Finance UNITED STATES Connecticut Norwalk G Financial Economics Full-Time Nonacademic Senior Modeling Manager General Electric Capital Corporation Risk Management Quantitative Methodologies 2015-01-31 00:00:00 Role Summary: The Senior Modeling Manager leads the development, management and continuous enhancement of GE Capital’s quantitative risk methodologies. This is a leadership position in a relatively large quantitative team (100+ quants). In this role, the developer will interact with GE Capital's senior leadership team, its business units globally, banking regulators, and GE’s Global Research Center. Responsibilities: • Lead development of models used for regulatory stress tests, regulatory capital, and economic capital • Model development focus is on Commercial Probability of Default, Loss Given Default, and Exposure forecasting, but roles also exist in Valuation, Market Risk, and Pre-Provision Net Revenue modeling • Manage of team of junior/mid-career analysts to support the candidate’s modeling activities • Provide leadership evaluating latest developments in risk methodologies from academia, regulatory bodies, and industry Qualifications: • Ph.D. in a quantitative discipline (e.g. Economics, Finance, Statistics, ...) • 5+ years of relevant experience, either in industry, or applied empirical-based academic research • Experience in managing quants • Excellent written/oral communication skills, with ability to write technical documents • Advanced programming skills (e.g., SAS, R, Matlab, C++, Python, SQL, VBA, …) • Expertise in relevant regulatory requirements and expectations, including Basel/CCAR frameworks • Experience interacting with regulators Banking and Finance UNITED STATES Connecticut Norwalk G Financial Economics Full-Time Nonacademic Senior Data Scientist/Econometrician Inte Q Analytics 2014-12-12 00:00:00 General Purpose Inte Q specializes in helping our clients gather relevant customer behavior and demographic data – making heads or tails of it. We then create and execute a wide range of insight based programs that drive greater customer engagement and profitability. This is an analytic position responsible for supporting the development of advanced statistical models and data mining activities within the Inte Q Decision Support Analytics group. Working with external clients and internal business partners, this individual will provide business analytic support to both ongoing and one-time projects. Analytics drive fact-based decision making for both the relationship programs and our clients. Responsibilities include statistical model development, exploratory analysis of customer behavior, development of sophisticated segmentation routines; retail store and geographic analysis and support of direct marketing promotional effectiveness and direct mail financial calculations. The position requires good verbal and written skills, as well as strong SAS programming skills. Duties and Responsibilities: • Develop predictive models in support of email and direct marketing campaigns • Develop attrition and activation models based on client/program specific needs • Develop customer segmentation for management of retail client loyalty/relationship marketing portfolios. Work with internal and external business partners to develop marketing strategies for these segments • Design controlled experiments that can be used to measure the changes in customer behavior across many treatment groups • Design and measure customer loyalty programs • Consult with Business Partners and clients on analytic methodologies for customer analyses and present and explain results in a clear precise manner • Develop customer scorecards for reporting of customer metrics and performance of loyalty/customer relationship programs. Must be able to define and implement flexible customer reporting Qualifications: • Good oral and written skills are mandatory • Prior experience using campaign management software (Unica, Campaign Runner) • Need to be able to translate customer requests into an analytic framework • A minimum of 5 years work experience in a retail, CRM, credit or consulting environment would be preferred but is not mandatory • Master’s or PhD degree in Statistics, Economics, Mathematics or other quantitative discipline • Exposure to large relational databases and SQL is important • Strong programming skills in SAS required • Consulting experience or training in structured methodologies advantageous We offer a casual and comfortable working environment, flexible schedule including some work from home, competitive salary and superlative benefits (401K with employer match, generous health and dental, long and short term disability, flex and dependent care, annual bonus opportunity). We will be conducting preliminary interviews at the AEA meetings in Boston, MA, January 3-5, 2015. For full consideration, please submit all relevant application materials by 12/12/2014. These include resume, cover letter, paper abstract and minimum three references. Send all submissions directly to dmartin@inteqinsights.com. http://www.inteqinsights.com/careers.aspx Senior Analyst UNITED STATES Illinois Oakbrook Terrace (Chicago area suburb) C Mathematical and Quantitative Methods Full-Time Nonacademic Modeling & Analytics Analyst JPMorganChase 2015-04-30 00:00:00 Chase is one of the largest U.S. providers of banking, credit cards, lending, wealth management and investment services, serving more than 50 million customers. We believe that the success of our business is linked directly to the talent and commitment of our people, so hard work is recognized and rewarded at Chase. The teams described below illustrate the range of quantitative practices in Consumer and Community Banking at Chase. • Chase Risk Modeling and Analytics is a highly select team of over 850 quantitative professionals, combining the best academic credentials and technical capabilities with an applied problem solving mindset. The team’s work affects hundreds of billions of dollars of lending across the various lines of business, including Mortgage Banking, Consumer & Business Banking, Auto Finance, Card Services, and Capital. • Consumer Marketing Predictive Modeling employs advanced data mining and machine learning techniques to predict consumer behavior at a household level. • Chase Treasury Modeling applies statistical and econometric models to forecast deposits, fee income, and other business drivers for Consumer and Business Banking and for JP Morgan’s Asset Management business. We are looking for that rare breed of analytics professional that possesses: • Exceptional unstructured problem solving skills • Enthusiasm and passion for data and models • Outstanding communications skills • Technical proficiency Candidates should have a degree in Statistics, Mathematics, Econometrics, Information Sciences, Engineering, Physics or a related quantitative field (Ph.D. required for most modeling jobs), including experience with statistical analysis or data mining techniques. Chase uses SAS and SQL/Teradata, but candidates with experience in R, Python, Matlab, or other programming languages are encouraged to apply. We will be interviewing at the AEA Meetings, Jan 3-5, 2014 in Boston NYC, NY, Jersey City, NJ, Wilmington, DE, Columbus, OH and Dallas, TX are primary locations but other US cities may be considered. Economics, Modeling, Analytics, Risk, PhD, SAS, statistical, econometrics, strategy, engineering, data mining, quantitative UNITED STATES Delaware Wilmington UNITED STATES Ohio Columbus C1 Econometric and Statistical Methods and Methodology: General O Economic Development, Technological Change, and Growth Q Agricultural and Natural Resource Economics; Environmental and Ecological Economics E Macroeconomics and Monetary Economics G Financial Economics M Business Administration and Business Economics; Marketing; Accounting D Microeconomics Full-Time Nonacademic Research Associate Kellogg School of Management 2015-06-30 00:00:00 The Kellogg School of Management at Northwestern University has an opening for a Research Associate (or Senior Research Associate, based on qualifications). Responsibilities: • Manage and administer large-scale economic and financial datasets from diverse sources, including CRSP, Compustat and TAQ. • Develop statistical and technical documents for the Research Support web site. • Provide support to faculty using datasets in research including: Training sessions on the use of statistical tools for data analysis and manipulation; Data assessment and extraction using packages such as Python, MySQL, and other tools; data cleaning, parsing, transfer, and matching. Qualifications: • Master’s degree in research-oriented social science field, especially economics, finance, accounting or statistics or related field. Doctoral degree preferred. • Educational training and good habits in data management and analysis. Experience with large data sets. • Background in computer programming languages, such as Python or C++. • Advanced programming skills with two or more of the following programming languages is required: Matlab, R, SAS or Stata. • Customer service orientation and ability to work closely with faculty and graduate students. Aplications: Applicants should include a complete CV, a cover letter and three letters of reference. Applications will be accepted and considered until December 31, 2014 or until position is filled. To apply, visit http://goo.gl/CUulT1. UNITED STATES Illinois Evanston 00 Default: Any Field Full-Time Nonacademic Labor Economist National Institutes of Health Office of the Director Office of Extramural Research GS 12/13 2014-11-07 00:00:00 The National Institutes of Health (NIH) anticipates an opening for a Labor Economist in the Economic Analysis and Modeling Unit of the Division of Biomedical Research Workforce Programs (DBRW) within the Office of the Director (OD). The new unit is charged with conducting economic analysis and modeling of the biomedical research workforce. This position will contribute to the work of the office by conducting research and analysis independently and in collaboration with other colleagues. Work is based on supporting the needs and interests of NIH leadership. The ideal candidate has a strong understanding of labor economics, health economics, and/or science policy. She/he has experience with economic modeling, preferably workforce modeling, and demonstrated skills using and analyzing national public-use microdata, administrative data, and/or large relational databases. He/she is familiar with the economic theory of price indexes and other macroeconomic indicators. The ideal candidate also has an interest in conducting research on the U.S. biomedical research workforce. Additional skills preferred include competency in Oracle/SQL, Stata, SAS, and other statistical software, the ability to work independently and multitask efficiently, and a desire to work in a multidisciplinary environment. Labor Economics, STEM, Workforce Modeling UNITED STATES Maryland Bethesda J Labor and Demographic Economics Full-Time Nonacademic Senior Analyst/Principal, Quantitative Investment Researcher OMERS Capital Markets Quantitative Research 2014-12-31 00:00:00 OMERS is a Canadian leading pension fund with over $65 billion net assets, a direct-drive active strategy, world-class pension services, and offices in Toronto, Calgary, London, and New York. The Quantitative Investments Group is responsible for developing and managing systematic absolute return strategies. Our investment process is driven by mathematical or econometric models based on financial theory and thoroughly tested using empirical data. We seek a Quantitative Investment Researcher (Senior Analyst/Principal) to join a team of Ph.D. level investment professionals with a track record of achievements in investment management and research. Candidates will hold a Ph.D. in a quantitative discipline from a top university with 2 to 7 years of investment research experience with a leading financial firm or a Ph.D. in finance or economics and 1 to 7 years of experience. Exceptional finance or economics PhDs with only academic experience will be considered. The candidate will have strong foundations in financial econometrics and statistics, understanding of applied asset pricing theory, financial engineering, multi-factor models, optimization techniques, excellent command of IT (MatLab, C++, SQL), experience with complex data sets. More experienced candidates will be considered for senior roles. Please apply directly on our career site, Job ID: J0914-0865 CANADA Ontario Toronto C Mathematical and Quantitative Methods 00 Default: Any Field Full-Time Nonacademic Quantitative Researcher, Finance Wealthfront 2014-12-15 00:00:00 Wealthfront is the largest and fastest growing automated investment service, with more than $1.4 billion in client assets under management. Our clients trust us to invest more than $100 million in new assets every month. As a quantitative researcher in finance, you'll be focusing on financial investments within Wealthfront Research. The primary responsibility of the role is to investigate and develop innovative automated investment strategies to solve clients' various investment problems. You will also work on the algorithmic implementation of the strategies using software in client portfolios, both driven by rigorous research on market data and client data. You will have a diverse focus across finance, including: asset allocation, portfolio construction (taxable and non-taxable), investment vehicle research and evaluation, tax alpha, portfolio optimization, trade execution, behavioral finance, risk modeling, and risk tolerance assessment. Requirements: PhD in finance or economics Programming competency in R and/or Matlab Programming competency in SQL preferred Prior experience or demonstrated interest in finance Ability to communicate technical content to an audience with varied backgrounds Ability to collaborate with cross-functional teams Progress towards CFA is desirable Investment Management, Behavioral Finance UNITED STATES California Palo Alto G Financial Economics C Mathematical and Quantitative Methods Full-Time Nonacademic Economist Zillow 2015-03-04 00:00:00 Do you love answering economic questions and telling stories using data? Do you have a knack for turning data into compelling insights? Are you ready to enter a fast-paced research environment where your work will be read and used by consumers, academics, other analysts, and policy makers across the country? Have you ever wondered why there isn't a higher correlation between the occurrence of econometric analysis, creativity, and excellent writing skills in a single job description, but you feel that you were born to satisfy such a call if it were made? If so, then Zillow has a job for you. Be part of an analytics team helping to bring innovation, creativity and excellence to the national discussion about how we live. You'll work in an informal, fun, collaborative atmosphere with a team of strong, smart, self-starters like yourself with terabytes of data at your fingertips. In this role, you'll conduct research and analysis of real estate market conditions, evolving demographic phenomena, and past and future market patterns and trends. Projects will include both periodic market reports of various types as well as specific deep dives on topics of interest to you and Zillow customers. Results will be used in blogs, press releases, and web-published reports and data products. Most projects will involve some combination of econometric analysis, data exploration, data visualization, and insightful and clear writing. It's a broad and deep set of skills that we're searching for in a single person, but we're certain that there's at least one of you out there. Requirements * A graduate degree in economics or other highly quantitative field. Ph.D. strongly preferred. * Knowledge of econometrics and multivariate statistics and demonstrated research ability applying these skills. * Experience with R statistical software or similar coding language (e.g., Matlab, Stata, GAUSS, SAS). * Excellent verbal and written communications skills. * Experience with data access and manipulation tools such as SQL. * Thorough knowledge of the presentation and manipulation of data in MS Excel. * Experience with data visualization toolkits or programming languages like Flare or Processing is a plus. * Experience with Tableau visualization software is a plus. * Detail-oriented, analytical, and accurate. * Strong project management skills. * Insatiable intellectual curiosity. Economics, Economist, UNITED STATES Washington Seattle O3 Technological Change; Research and Development; Intellectual Property Rights