Portfolio Manager / Quant Trader - High Frequency Trading, ex-Credit Suisse
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Quantitative researcher and trader specializing in market making/high-frequency strategies across ultra-liquid futures (B3, CME) and FX markets. Focus on market microstructure, predictive signal development and queue priority modelling. Track record building profitable systematic strategies from research to production.
SKEMA Business School
MSc in Financial Markets & Investments, Finance
January 1, 2014 – January 1, 2014
Copenhagen Business School
MSc in Economics and Mathematics
January 1, 2013 – January 1, 2015
London Metropolitan University
Erasmus exchange student.
January 1, 2010 – January 1, 2011
Copenhagen Business School
BSc in Economics and Mathematics
January 1, 2008 – January 1, 2011
Elk Capital Markets
Portfolio Manager / Quant Trader
June 1, 2023 – September 1, 2025
Laval Science
Head of Research
January 1, 2022 – May 1, 2023
Zurich, Switzerland
Credit Suisse
Head of Machine Learning, eFX (VP)
May 1, 2019 – September 1, 2021
London, United Kingdom
Huawei Technologies
Machine Learning Research Scientist
December 1, 2018 – April 1, 2019
London, United Kingdom
Corti
Machine Learning Engineer
August 1, 2017 – November 1, 2018
Copenhagen Area, Denmark
Cph AI Lab
Founder
February 1, 2017 – October 1, 2018
Copenhagen Area, Denmark
IBM
Data Scientist
February 1, 2017 – July 1, 2017
Copenhagen Area, Denmark
Secure Capital
Portfolio Manager
April 1, 2015 – January 1, 2017
Copenhagen Area, Denmark
Nordea Markets
Summer Analyst
July 1, 2014 – August 1, 2014
Copenhagen Area, Denmark
Secure Capital
Analyst
November 1, 2012 – June 1, 2014
Copenhagen Area, Denmark
Wimmer Financial LLP
Analyst
January 1, 2012 – November 1, 2012
London, United Kingdom
Nykredit Asset Management
Portfolio Manager Assistant
February 1, 2011 – December 1, 2011
Copenhagen Area, Denmark
Cultural Fit Analysis
The candidate has a strong background in finance and quantitative trading, which might indicate a preference for fast-paced, performance-driven environments. The 'Founder' role at Cph AI Lab suggests an interest in collaboration and knowledge sharing. However, the project diversity outside of finance and core ML research is limited, which might impact cultural fit if the target role requires broader industry exposure or a less specialized application of ML.
Soft Skills & Operational Fit
The candidate's experience as 'Head of Machine Learning' and 'Head of Research' suggests strong leadership, strategic thinking, and the ability to drive technical initiatives. Founding 'Cph AI Lab' indicates initiative and community building. The descriptions imply a results-oriented individual capable of operating in high-stakes environments (e.g., emergency services, HFT).