About the company
Itās not very often that a new asset class is born. But thatās exactly what weāre witnessing today with the rise of crypto. Over just the last four years, crypto has evolved from an embryonic $50B market to a young-but-growing $1T+ market today. At Bitwise, we think itās just getting started. In fact, we believe crypto has reached a turning point, and is headed north of $10T over the next few years. Along the way, we expect there to be risks, pitfalls, and uncertainty ā much like there was during the rise of the Web, of cloud computing, and of apps. But we also expect there will be great opportunities, and millions of people wanting to participate in the potential upside. Our goal at Bitwise is to help busy investors understand and access the opportunities emerging in the cryptocurrency asset class. We want all those who so desire to be able to come along for the ride in a secure and simple manner, and to be able to benefit from the role crypto exposure can play in pursuing their investment objectives. Today is an exciting moment for Bitwise as a firm. In 2021 we crossed $1B in AUM and are growing quickly with a suite of leading crypto index funds spanning large-cap crypto assets (ticker: BITW), DeFi, NFTs, Metaverse, and more to come. We also created the index behind the worldās first crypto industry equities ETF. We focus on serving investment professionals ā financial advisors, family offices, hedge funds, endowments, foundations, and others ā the people entrusted to look after the capital and savings of individuals and institutions across the country. We provide education, partnership, and professionally managed investment products tailored to this groupās needs, to help them build their view, pick their strategy, and get their exposure. Currently, Bitwise is a close-knit team of 70+ professionals. Think of us as a mix of an asset manager and a tech start-up. Our backgrounds combine technology expertise with decades of experience in asset management and indexing, coming from firms including BlackRock, Wealthfront, J.P. Morgan, IndexIQ, ETF.com, Blackstone, Meta, and Google, as well as the U.S. Attorneyās Office. Weāre backed by some of the most accomplished investors in venture capital and veterans of the financial services world. We love working together, we love what we do, and weāre excited about whatās ahead.
Job Summary
What You Will Do
šBuild, trade and optimize the portfolio management of derivatives-focused crypto and crypto-equities products through quantitative analysis that identifies various inefficiencies in global capital markets activities. šDevelop and enhance analytical tools with a primary focus on crypto volatility trading, focusing on alpha generation, statistical analysis, model implementation, portfolio construction, execution, and trade analysis. (Past experience with portfolio construction and implementation research is a plus.) šAnalyze portfolio characteristics, attribute performance drivers, and design portfolio implementation analytics and risk management. šLeverage various third-party vendors and partners to build robust internal systems for high-performance historical simulation/backtesting capabilities. šAssist in writing and publishing content across relevant topics, including quantitative/systematic trading strategies. šContribute to Bitwiseās product strategy growth in actively managed solutions and drive risk systems adoption across our engineering team.
Who You Are
šExcellent quantitative skills, as evidenced by formal training in statistics, applied mathematics, operations research, economics, computer science, physics, or related quantitative fields. Previous crypto experience is a plus. šStrong technical skills with expertise in Python (or another programming language) and SQL. You should be comfortable with modern data science tools (Jupyter, Pandas, Numpy, etc.) and with basic software development methodologies: version control systems, working on the command line, debugging, etc. Familiarity with BI tooling such as Tableau is helpful. šStrong experience with databases is required, as well as an understanding of the data available in the investment management industry and experience in managing and accessing such data to support research and trading efforts. š3-5+ years of work experience with working knowledge of basic options math. Bloomberg API familiarity is a plus.