Flirting with Models

My guest this episode is Ben Wellington, Head of Complex Feature Engines at Two Sigma.In a modern quant process, one might argue that edge can live in three places: the data you can get your hands on, what you do with that data, and how you forecast from it. Ben lives squarely in the middle layer — feature generation — which also happens to be the place AI is reshaping fastest.So that's where we spend our time. We start with what a "feature" even is, and why, as raw data gets commoditized, the edge increasingly comes from what you build out of it. Then we follow the thread running through the whole conversation: large language models. Ben has a line I keep coming back to — that anything can be language now — and we trace what that unlocks, and whether making feature creation this cheap just democratizes the edge away.We close on what a quant starting out today should be building toward, and which skills compound most in a career where AI is the dominant tool.Please enjoy my conversation with Ben Wellington.

In this episode I speak with Edward Yu, co-founder of Variational. We begin the conversation with Edward’s background in crypto OTC markets. He explains how the space evolved away from Telegram chats, the complexities of pricing derivative structures on the long-tail of alternative crypto currencies, and the sources of natural flow in the space.This experience led Edward to co-found Variational, which seeks to bring the trillion dollar OTC derivatives market on-chain by disaggregating settlement, margining, and derivative payoff logic into programmable primitives.Built on top of Variational is the OMNI perp dex – or decentralized perpetual futures exchange for the non-crypto-speaking listeners. Unlike other perp dexes that are build around a centralized order book, OMNI effectively acts as a user interface to a OTC RFQ system. On the other side is OLP – the OMNI Liquidity Provider. This structure allows OMNI to provide significant depth of liquidity on a huge breadth of investable assets despite the platform being in closed beta at the time of recording. Given its unique design, we spend a significant amount of time discussing the pros, cons, and risks of this structure.This conversation is, obviously, out of my usual realm. But for those listeners interested in market structure and where the world of finance may be headed, this is one not to miss.Please enjoy my conversation with Edward Yu.

My guests today are Roxton McNeal, Managing Director and Head PM of QIS Investments and Siddharth Sethi, portfolio manager and Head of QIS structuring. Together, they’re spearheading the development of QIS-driven solutions at Simplify.In this conversation, we explore what it takes to build and manage a multi-strategy QIS portfolio—from infrastructure requirements to portfolio construction and risk management. We discuss: • The structural vs. academic premia distinction and why it matters. • How Simplify evaluates and customizes QIS offerings from banks. • The need and challenges of dynamic allocation across dozens of strategies. • How QIS strategies integrate with traditional beta portfolios. • The operational and counterparty considerations of trading these strategies.For those interested in the practical realities of QIS investing, this episode provides a deep dive into both the opportunities and challenges of running a systematic, multi-strategy portfolio.I hope you enjoy my conversation with Roxton McNeal and Siddharth Sethi.

Today I’m talking to Thao Tran, Co-founding Partner at Vamient Capital.This episode was born from a question I had watching the NFT market place: how do you make markets in illiquid, non-fungible assets? Clearly people were doing it and I wanted to know how it differed from traditional market making.Several people recommended I speak with Thao, and she was kind enough to oblige, despite NFT market making being just a small component of what she does. In this conversation, we walks me through how the NFT market place has evolved, how she thinks about managing inventory risk, key features that impact spreads, and how platform evolutions changed orderbook strategies.In the back half of the conversation, Thao shares her thoughts on the state of crypto markets today, the emerging opportunities in decentralized exchanges, and how the landscape of alpha opportunities has changed over the last two years.I hope you enjoy my conversation with Thao Tran.

In this episode of the Get StackedInvestment Podcast, Corey and Rodrigo have an insightful conversation withJonathan Glidden, Chief Investment Officer of the Delta Airlines Pension Plan.Since joining in 2011, Jonathan has been pivotal in elevating Delta’s pensionplan funded status from 38% to over 100%. They delve into Jonathan'sunconventional career journey, his implementation of portable alpha strategies,and share valuable lessons learned from turbulent financial periods such as2008 and 2020. Whether you're a seasoned investor or new to the concept ofportable alpha, this episode provides a masterclass on optimizing pension planmanagement through innovative investment strategies.

In this episode I chat with Giuseppe Paleologo – or Gappy as he likes to be called. Currently on garden leave, Gappy has previously worked in Risk & Quantitative Analytics at Citadel, as Head of Enterprise Risk at Millennium, and most recently as Head of Risk Management at HRT.We begin the conversation with a discussion as to what a quant researcher actually does at a multi-manager hedge fund. As a semi-support role to the fundamental PMs, Gappy explains how portfolio manager coverage, factor hedging, and internal alpha capture can all work together to help maximize firm P&L.We then discuss the broad field of factor research and portfolio construction, where Gappy shares some of his strongly held views, both on how factors should be constructed as well as how they should be utilized. Topics include returns versus characteristics, mixing versus integrating alpha signals, single- versus multi-period optimization, and linear- versus non-linear models.Please enjoy my conversation with Giuseppe Paleologo.

My guest in this episode is Kris Abdelmessih, co-founder of moontower.ai.Kris began his career at SIG, where he worked as a market maker in several different option pits, before moving to Parallax where he ran a relative value commodities volatility book. For the last five years, Kris has been writing on his blog Party at the Moontower, which is one of my favorite reads for all things probability, payoff space, trading, optionality, and seeing the world through a volatility lens.Kris is a passionate educator, so it should come as no surprise that learning is a key thread throughout this entire episode. Kris discusses how learning is accelerated in the pits and how we can think about replicating it in electronic space. Kris discusses what he had to unlearn and relearn in his move from market making to relative value trading. He also shares his thoughts about how firm lineage influences how you learn to trade markets.Finally, we discuss Kris’s newest venture, moontower.ai, which seeks to provide a “volatility lens” to opinionated traders to help them better express their bets in option space.There is a lot of experience to unpack in this one. I hope you enjoy my conversation with Kris Abdelmessih.