Max Dama
Research at Headlands Technologies
- Location
- San Francisco Bay Area
- Industry
- Investment Management
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Max Dama's Overview
- Current
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- Low Latency Quantitative Trading Research at Headlands Technologies
- Past
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- Lecturer at UC Berkeley
- High Frequency Strategies Intern at Ronin Capital
- Research Assistant at UC Berkeley
- Trading System Programmer at Freelance
- Quantitative Strategies Intern at Cerebellum Capital, Inc
- Marketer at iMint, Loyalty Services Research Ltd
- Technology Associate at Center for Innovative Financial Technology
- Education
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- University of California, Berkeley
- Connections
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500+ connections
Max Dama's Experience
Low Latency Quantitative Trading Research
Headlands Technologies
Financial Services industry
May 2011 – Present (2 years 1 month) San Francisco
Lecturer
UC Berkeley
Educational Institution; 10,001+ employees; Higher Education industry
August 2009 – March 2011 (1 year 8 months)
Taught accredited student-led quantitative trading class for four semesters
High Frequency Strategies Intern
Ronin Capital
Privately Held; 201-500 employees; Financial Services industry
June 2010 – August 2010 (3 months)
New York
Research Assistant
UC Berkeley
Educational Institution; 10,001+ employees; Higher Education industry
January 2010 – February 2010 (2 months)
AISTATS 2010 paper: Optimal Allocation Strategies for the Dark Pool Problem
available here: http://jmlr.csail.mit.edu/proceedings/papers/v9/
Quantitative Strategies Intern
Cerebellum Capital, Inc
Privately Held; 1-10 employees; Financial Services industry
May 2009 – September 2009 (5 months)
San Francisco
Marketer
iMint, Loyalty Services Research Ltd
Privately Held; 51-200 employees; Marketing and Advertising industry
January 2009 – February 2009 (2 months)
Mumbai, India
Max Dama's Education
University of California, Berkeley
4 Degrees, B.A. Math, B.A Statistics, B.A Computer Science, B.S. Business
2007 – 2011
Stat 241A / CS281A Statistical Learning (Bartlett)
Stat 260 / CS 294 Bayesian Modeling and Inference (Jordan)
Psych 290Q Computational Models of Cognition (Griffiths)
Activities and Societies: Upsilon Pi Epsilon
Max Dama's Additional Information
- Interests:
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Algorithmic Trading, AI, Entrepreneurship, Rock Climbing, Surfing, Ocean Kayaking, Distance Running
- Groups and Associations:
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- Honors and Awards:
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1st Place, Adversarial NP-Complete Approximation Competition, 12/2009, UC Berkeley Algorithms Course
National Finalist, Money Manager Case Competition, 11/2008, Russell Investments
1st Place Creativity, Innovation, and Technical Merit, 04/2007, U. of Memphis Game Programming Challenge
1st Place Algorithmic Programming, 06/2006, Stanford University Introductory Computer Science Course
Ranked 9th Rock Climbing, 2007, Tennessee Statewide High School-Level Bouldering and Roped Climbing
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