CV

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Experience

Quantitative Researcher (PhD, Finance), Stockholm University
Aug 2021 – Apr 2026 (expected)

  • Built Python and R pipelines to process 600+ GB of tick-level data and reconstruct the LSE limit order book.
  • Developed trade-classification algorithms matching trades to displayed quotes, showing common liquidity measures overstate trading costs by 7–24%.
  • Trained linear, ridge, and lasso models on ~200 million tick-by-tick observations, improving out-of-sample R² from 0.06% on daily data to 9% on tick-level data.
  • Analyzed venue selection across exchanges and dark markets using combined regulatory and tick-level data, showing how trading urgency and opacity affect execution choices.
  • Presented to audiences of 150+ at international conferences; won the Ola Bengtsson Award for best finance PhD paper.

Independent Research, LinkedIn
Dec 2025 – Present

  • Publish data-driven market research focused on systematic equity signals, backtesting, and portfolio construction across global equity markets.
  • Featured in The Wall Street Journal after publishing an analysis of 4,174 UK stocks showing that deeper drawdowns were associated with weaker 12-month returns versus the broad market.

Author, An Introduction to the Discount Factor Models
Mar 2020 – Nov 2020

Customer Advisor, Credit, Noba Bank
Jan 2020 – Aug 2021

  • Monitored repayment capacity and credit risk across a portfolio of unsecured consumer loans, supporting risk assessment and revised payment plans for at-risk borrowers.

Customer Advisor, Credit, Sergel Kredittjänster
Aug 2019 – Jan 2020

  • Handled debt-collection cases end-to-end; consistently achieved top-tier customer evaluations.

Education

PhD in Finance, Stockholm University
Aug 2021 – Apr 2026 (expected)
Research: Market Microstructure and Insider Trading

MSc in Banking and Finance, Stockholm University
Aug 2019 – Aug 2021
Awards: Nasdaq/Swedish House of Finance Thesis Award, Skandia Best Thesis Award

BSc in Business and Economics, Luleå University of Technology
Aug 2016 – Aug 2019

Skills & Interests

Programming: Python, R, SQL, LaTeX
Market Data: LSEG Workspace & Tick History, LSEG I/B/E/S, LSE Rebuild Order Book data, PDMR Transactions
Languages: Swedish (native), English (fluent), Italian (conversational)
Interests: Chess (peak rating 1850), long-distance running, skiing