Systematic Returns using Data Science
Linnean Capital Management
Using Data and Analytics to
Lower Risk and Improve Returns
Our goal is to produce consistent, systematic returns from less efficient asset classes using data science and machine learning.
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We do this by:
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Finding asset classes where we have an edge or advantage
Identifying and using new or underutilized data sources to improve predictive analysis
Developing tools and models to invest efficiently and at scale
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We have a primary focus on private alternative debt, in particular short-term consumer loans, specialized real estate bridge loans, and others distributed on marketplace lending platforms.
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For details about our investment process and performance, please get in touch with us.
Approach
Analytics and Machine Learning
Our team develops systematic investment strategies based on carefully tested predictive models. Our investment strategies use a range of econometric and machine learning techniques. More importantly, they are developed with an investor's mindset and an appreciation for underlying economics. The investment strategy has to make sense and reflect good investment judgement.
Enriched and Proprietary Data
We find and use new and under-appreciated data sources that give us some informational edge. Some are publicly available and just ignored by other investors, others are proprietary data sources that we have developed and curated. We invest in finding, cleaning, and curating useful data for better investment decisions.
Technology and Infrastructure
We proactively manage technical and operational risks. Our investment strategies are executed on secure, high speed cloud platforms, with plenty of redundancy and backups. Operationally, all investments are held in third party accounts and regularly reviewed by our accountants and/or administrators.
Commitment
Nothing demonstrates commitment than having our own funds invested alongside our investors. We are highly aligned with our investors to deliver returns.
Our Team
Technique, Judgement, Experience
Dhiren Patel
Partner, Chief Executive Officer
Mr. Patel is responsible for fund management, operations, technology, and administration, and is a member of the Linnean investment committee.
He has over 25 years of startup, technology, and finance, and management consulting experience. He has founded successful ventures in software, data science, and logistics services.
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Mr. Patel holds an A.B. cum laude, Economics, Princeton University, and an MBA with Honors in Finance from the Booth School of Business at the University of Chicago.
Abhay Pande
Partner, Chief Investment Officer
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Mr. Pande is Partner and Portfolio Manager at Linnean Capital Management. He is responsible for formulation of the Fund’s investment strategies and portfolio management and is a member of the investment committee.
He has 25 years in private equity and debt investing, investment banking, and management consulting at Ironmont Partners, American Capital, Citigroup Investment Banking, Salomon Smith Barney and A.T. Kearney.
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Mr. Pande has an A.B. in quantitative economics from Dartmouth College, and an M.B.A. with high honors in finance and strategy from the Booth School of Business at the University of Chicago.
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