Minsu Yeom, Cfa, Frm Email & Phone Number
Who is Minsu Yeom, Cfa, Frm? Overview
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Minsu Yeom, Cfa, Frm is listed as Head of Quantitative Research at Arki, a company with 15 employees, based in Seoul, South Korea, Korea, Republic Of. AeroLeads shows a matched LinkedIn profile for Minsu Yeom, Cfa, Frm.
Minsu Yeom, Cfa, Frm previously worked as Product Owner at Korea Investment & Securities Co., Ltd and Portfolio Manager at Korea Investment Management. Minsu Yeom, Cfa, Frm holds Master Of Science - Ms, Data Science, Gpa 3.5 from Columbia University In The City Of New York.
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About Minsu Yeom, Cfa, Frm
I believe a human portfolio manager actively utilizing machine learning techniques can perform better than those with a qualitative- or quantitative-only approach, and thus will be better positioned in the future of asset management; human PMs need machines and machines also need humans' insights to solve financial investment problems. Experienced Quantitative Research and Portfolio Manger with background in Data Science and global equity markets. Won second place in the ICCV 2019 Learning to Drive Challenge. Experience working with large data sets such as news and earnings transcripts. Fluent in English and native in Korean.10+ years of capital markets experience including international portfolio management success as #1 ranked portfolio manager vs institutional peers for managing ETF fund which outperformed benchmark. Professional experience designing risk models for hedge fund investment, statistically reliable investment cycle indicator, and macro analysis for allocation of global equities in ETF.Expertise with statistical analyses using data science techniques including machine learning, deep learning, and predictive modeling. Data science project experience creating portfolio management strategies using reinforcement learning, and applying neural networks to improve P/E forecasting methods (see Projects, below). I offer experience in performing original quantitative research for global investment strategies. Skilled in data science technologies such as Python and open source libraries such as TensorFlow, PyTorch, scikit-learn, and visualization tools. Demonstrated ability to manage multiple projects, oversee team members in collaborative environment, and deliver innovative ideas to investment decision making process.TECHNICAL SKILLS:✔ Modern programming languages: Python, C/C++, Java, SQL.✔ Machine Learning: regression, clustering, classifications, deep learning, reinforcement learning, NLP.✔ Financial software: Bloomberg, CompuStat, FactSet, BarraOne, HOLT, Eikon.✔ Applied Risk Modeling: VaR, ELS Pricing, Monte Carlo simulation, PCA, stress testing, operational risk, interest rate risk.M.S. in Data Science, Columbia University in the City of New York (Dec 2019).B.S. in Computer Science and Engineering, Korea University, College of Informatics (Aug 2006).I'm always happy to receive new connections. Connect with me on LinkedIn or via email:✉ nlfelix@gmail.com
Listed skills include Portfolio Management, Equities, Investments, Asset Management, and 49 others.
Minsu Yeom, Cfa, Frm's current company
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Minsu Yeom, Cfa, Frm work experience
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Product Owner
Current- Building a new business model from scratch with engineers, marketers along with UI/UX designers. Uniquely positioned as a professional who has expertise in two distinct areas of finance and machine learning, yielding a.
- Bringing GDPR into a brand-new mobile trading app to provide more personalized private banking services.
- Built a robo-advisor model during a very short period of three weeks in order to timely participate in the official test bed in South Korea by using a variant of MVO where variance is replaced with CDaR to better take.
Portfolio Manager
Using data science to determine if we should accept or reject an investment hypothesis, which most human portfolio managers just assume to be true without proof, as a versatile portfolio manager experienced in both qualitative and quantitative spaces. Interested in leveraging knowledge graph to find investment insights in supply chains, tradenames.
Graduate Student
- Publication: Using Segmentation Masks in the ICCV 2019 Learning to Drive Challenge
- Won 2nd place in the ICCV 2019 Learn to Drive Challenge. Simultaneously predicted the future vehicle speed and steering angle using novel Deep Learning architectures. Encoded multiple inputs in different formats. Fused.
- 55 hour-long videos and 600gb+ dataset. Used NVDIA’s Cityscapes to magnify features and to clean noise of raw driving images.
- Preprint in arXiv.org: https://arxiv.org/pdf/1910.10317.pdf
Research Intern
- Creating recommendation system in the stock market.
- Creating a ranked list of outperforming stocks to choose from, quantifying which factor a portfolio is skewed to, and searching similar stocks for which the same investment idea may apply. Supervised by Kriste.
- Developed a dashboard using Bokeh with consolidating and verifying existing works to predict the GBPUSD rate using sentiment scores and volumes in news articles, and option-implied volatility. Supervised by Eugene.
Portfolio Manager
Hired as Risk Manager in 2010, performing risk management for hedge fund investments starting in 2012. Solely responsible for designing risk management system. Top-ranked Portfolio Manager overseeing ETFs portfolio.◆ Ranked #1 out of 5 institutional peers. Managed portfolio of ETFs since 2014. Outperformed benchmark by 4% with IR of 2, annualized. Senior.
Risk Manager
- Evaluated portfolio performances. Used SQL for Brinson or factor-based attribution, covering equity funds and hedge funds.
- Analyzed portfolios’ ex-ante market risk through lens of multi-factor models provided by BarraOne and Bloomberg PORT.
- Authored due-diligence report on 9 New York hedge fund managers. Evaluated managers on 5 factors including NAV pricing, operational risk, and fund structures.
- Specified risk management system requirements for hedge fund investments after they were legalized in South Korea in 2012. Wrote and developed risk management modules for Volatility Decomposition, VaR Analysis, and.
First Lieutenant, Software Developer | Java | Javascript | Struts | Oracle
- Head of Combat Intelligence team
- Developed web applications using Java, running on Struts framework for Command and Control System.
Second Lieutenant
Team member of Combat Intelligence teamSoftware developer
Minsu Yeom, Cfa, Frm education
Master Of Science - Ms, Data Science, Gpa 3.5
Bachelor Of Engineering (Be), Computer Science And Engineering
Exchange Student Program, Computer Science
Frequently asked questions about Minsu Yeom, Cfa, Frm
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What company does Minsu Yeom, Cfa, Frm work for?
Minsu Yeom, Cfa, Frm works for Arki.
What is Minsu Yeom, Cfa, Frm's role at Arki?
Minsu Yeom, Cfa, Frm is listed as Head of Quantitative Research at Arki.
Where is Minsu Yeom, Cfa, Frm based?
Minsu Yeom, Cfa, Frm is based in Seoul, South Korea, Korea, Republic Of while working with Arki.
What companies has Minsu Yeom, Cfa, Frm worked for?
Minsu Yeom, Cfa, Frm has worked for Arki, Korea Investment & Securities Co., Ltd, Korea Investment Management, Columbia University In The City Of New York, and Republic Of Korea Air Force.
How can I contact Minsu Yeom, Cfa, Frm?
You can use AeroLeads to view verified contact signals for Minsu Yeom, Cfa, Frm at Arki, including work email, phone, and LinkedIn data when available.
What schools did Minsu Yeom, Cfa, Frm attend?
Minsu Yeom, Cfa, Frm holds Master Of Science - Ms, Data Science, Gpa 3.5 from Columbia University In The City Of New York.
What skills is Minsu Yeom, Cfa, Frm known for?
Minsu Yeom, Cfa, Frm is listed with skills including Portfolio Management, Equities, Investments, Asset Management, Hedge Funds, Financial Modeling, Alternative Investments, and Risk Management.
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