Niclas Wölner-Hanssen
Team leader - Trading & Quantitative Research at LINC - Lund University Finance Society- Claim this Profile
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Bio
Credentials
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Machine Learning for Finance in Python
DataCampJan, 2020- Nov, 2024 -
Quantitative Analyst with R
DataCampDec, 2019- Nov, 2024 -
Ensemble Methods in Python
DataCamp -
Hyperparameter tuning in Python
DataCamp -
Intermediate Python
DataCamp -
Model Validation in Python
DataCamp -
Supervised Learning with scikit-learn
DataCamp -
Time Series Analysis in Python
DataCamp
Experience
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LINC - Lund University Finance Society
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Sweden
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Non-profit Organizations
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1 - 100 Employee
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Team leader - Trading & Quantitative Research
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Aug 2022 - Present
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Lynx Asset Management
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Sweden
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Investment Management
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1 - 100 Employee
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Summer Intern - Quantitative Research
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Jun 2022 - Aug 2022
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LINC - Lund University Finance Society
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Sweden
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Non-profit Organizations
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1 - 100 Employee
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Analyst - Trading & Quantitative Research
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Sep 2021 - Jun 2022
• Sentiment Analysis project in collaboration with Lynx, a USD 7 billion AUM Quantitative Hedge fund. • Analysis of social media platforms and channels to use in systematic trading. • Analysis of data availability on these platforms and the usage of NLP models to quantify sentiment. • Creation of multiple social media sentiment trading signals and analyzing their predictability on US Equities. • Sentiment Analysis project in collaboration with Lynx, a USD 7 billion AUM Quantitative Hedge fund. • Analysis of social media platforms and channels to use in systematic trading. • Analysis of data availability on these platforms and the usage of NLP models to quantify sentiment. • Creation of multiple social media sentiment trading signals and analyzing their predictability on US Equities.
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OQAM
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Sweden
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Financial Services
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1 - 100 Employee
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Analyst - Front Office
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Jan 2021 - Jun 2021
• My main assignment at the OQAM Front Office department was devoted to commodity price driver research. • Researched the fundamentals of selected commodities: producers, consumers, exports & imports. • Analyzed the portfolio perspective of selected commodities in terms of asset allocation and security selection. • Investigated alternative data sources & how the commodities are pitched by exchanges and media etc. • Presentation of selected drivers for each commodity to the Chief Investor Officer in a convenient format. Show less
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LINC - Lund University Finance Society
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Sweden
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Non-profit Organizations
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1 - 100 Employee
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Analyst - Trading & Quantitative Research
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Sep 2020 - Mar 2021
• Machine learning project in collaboration with OQAM, a SEK 250 million AUM Quantitative Hedge fund. • Developed a dynamic data-driven asset allocation strategy based on the Random Forest algorithm. • Investigated different machine learning models and methods and their application to financial time series. • Investigated methods to prevent backtest overfitting: feature importance analysis, purged cross-validation etc. • Conducted price driver research for the S&P 500 and refined these drivers into features based on human cognitive biases such as herd mentality. Show less
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Nordea
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Finland
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Banking
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700 & Above Employee
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Serviceagent
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Mar 2017 - Dec 2020
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Education
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Ekonomihögskolan vid Lunds universitet
Master's degree, Statistics: Statistical Methods For Data Science -
Ekonomihögskolan vid Lunds universitet
Filosofie kandidatexamen (fil.kand.), Statistik -
Copenhagen Business School
Finance