Ken Perry

Ken Perry

Founder at slashrisk.Adjunct Professor at NYU Tandon School of Engineering

Role
Adjunct Professor at Nyu Tandon School Of Engineering
Location
New York, NY, US
LinkedIn followers
500 followers

About Ken Perry

Innovator, builder and strategic partner in Quantitative Investing, Portfolio Construction and Risk Management.Ken is a Senior Quant Research and Risk leader with 20+ years of experience driving and leading change in the financial industry. He brought Quant Research to a fundamental investor, creating insights into the portfolio, the markets, and trader behavior. Ken built a proprietary analytical infrastructure that scaled up in scope and capacity without increasing headcount, providing key cost and competitive advantages and driving the Firm\'s investment, risk and portfolio management and communication with investors and regulators.In creating a Risk Management department at a global asset manager, Ken redefined the focus of Risk Manager from defensive measurement and reporting to a partner of decision- makers in formulating strategy and portfolio construction. He revolutionized the Firm\'s investment and risk processes by transforming rudimentary, labor-intensive tasks to dynamic, cutting-edge sources of insight. As founding Chief Risk Officer, he led the Firm through a five-fold increase in AUM and headcount, the transition from private to public company, and managed major and minor financial/business crises and the introduction of new strategies and products.

Experience

  1. Adjunct Professor

    Nyu Tandon School Of Engineering

    Dec 2018 — Present · New York, NY, US

    Spring 2019: Teaching Machine Learning to graduate students.

Education

  • Cornell University

    Doctor of Philosophy (Ph.D.), Computer Science

  • Princeton University

    Bachelor of Science (BSc), Computer Science

Skills

  • Artificial Intelligence
  • Portfolio Management
  • Risk Management
  • Quantitative Research
  • Object-Oriented Programming (Oop)
  • Hedge Funds
  • Equities
  • Quantitative Finance
  • Factor Models
  • Fixed Income
  • Statistical Data Analysis
  • Machine Learning

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