JOE Listings (Job Openings for Economists)
August 1, 2018 - January 31, 2019
Position Title/Short Description
Section: Full-Time Nonacademic
Location: New York, New York, UNITED STATES
JEL Classification: 00 -- Default: Any Field
Full Text of JOE Listing:
BlackRock is one of the world’s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary and individual investors around the world. BlackRock’s mission is to create a better financial future for our clients. We have a responsibility to be the voice of the investor, and we represent each client fairly and equally. Constant communication with a diverse team of partners strengthens us and delivers better results for our clients. Continuous innovation helps us bring the best of BlackRock to our clients. BlackRock offers a range of solutions — from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world’s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares® ETFs.
Business Unit Overview:
Come join a diverse and collaborative team of researchers at the Financial Modeling Group (FMG) who are responsible for the research and development of financial models underpinning the risk management and relative value analytics produced at BlackRock. The group also contributes to the infrastructure platform for the production of analytics and the delivery of analytic content to portfolio and risk management professionals both within and outside BlackRock. Given the diversity of business objectives among BlackRock Solutions clients and within BlackRock itself the models developed and supported by the Financial Modeling Group span a wide array of financial products, ranging from equity to fixed income to derivatives. In addition, members of FMG seek to provide analysis and insight on many different levels from analysis of the cash flows of a single bond to the overall financial risk associated with an entire portfolio, enterprise or balance sheet.
FMG is looking for multiple quant researchers. The researchers’ primary job responsibilities is to develop methodologies, models and analytics to help portfolio and risk managers to better conduct valuation or manage risks at both security level and portfolio level.
►Doing empirical research and calibrating statistical models of market, credit and liquidity risk across asset classes at portfolio level or of mortgages, consumer loans, structure products and alternative investments at security level
►Backtesting, documentation and validation of empirical models
►Collaborate on papers for publication, presenting original research at industry conferences, and speaking with institutional clients about relevant research
►Communicate with internal and external clients on model factors, forecasts, performance, strength and weakness, and risk/valuation implications.
Additional job responsibilities include working with portfolio management teams on bespoke projects supporting their investment processes; working with financial advisory teams on modeling projects for bespoke products or client whole loan portfolios.
Skills & Qualifications:
PhD in Economics, Finance, Statistics or other quantitative disciplines
Demonstrated ability to conduct high quality empirical research or theoretical research relevant for empirical analysis
Strong background in applied econometrics, empirical finance, or other relevant studies in social and natural sciences
Able to communicate quantitative information and collaborate effectively in a team environment
Prior experience with statistical software (e.g. R, SAS, S-PLUS, MATLAB, Eviews) and background in programming is a plus
Exposure to Unix, Python, C++, or SQL is a plus
Prior experience with large datasets is a plus
Prior work experience in financial modeling (e.g. risk models, analytics, mortgage prepayment or credit) is a plus
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