QuestDB
Steven Sklar has worked in the technology and finance industries since 2007. Steven began their career as an Intern - Portfolio Management and Research at Trilogy Global Advisors in 2007. In 2008, they joined Sandler O'Neill & Partners, L.P. as an Associate Director - Software Development. In this role, they designed and implemented a three-tiered system used by the Fixed Income quantitative, sales, and trading teams as the firm's primary source for portfolio analysis and trade generation. Steven also extended and maintained an in-house platform that parses MBS inventories sent from primary dealers and provides a web-based front-end for querying current offerings. Steven was later promoted to Vice President - Fixed Income Trading, where they priced Non-Agency RMBS securities for live trades, research, and monthly client marks. Additionally, they developed a tool to calculate bond loss coverage that led to trades of over $12 million in face value. In 2015, they moved to Premium Point Investments as a Senior Software Engineer, where they built the firm's risk portal that displays fund exposures, PnL, cash positions, VaR, and performance. Steven also improved a framework that computes daily exposures and risk for all of the firm's funds, calculates nightly PnL estimates and gathers, processes, and stores market data. In 2020, they joined Hyperscience as a Staff DevOps Engineer and was later promoted to Senior DevOps Engineer. Currently, they are a Senior Cloud Engineer at QuestDB, an open source time series database that raised $15m from 468 Capital, Uncorrelated Ventures, Y Combinator, Episode 1, Seedcamp and founders of GitHub, Docker, Reddit, D2iQ, Supabase, PostHog, NGINX, Instana, and Citus Data.
Steven Sklar graduated with a BA in Economics and Finance from Washington University in St. Louis in 2008. In 2006, they attended the London School of Economics and Political Science (LSE) for a summer program in Economics.
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QuestDB
QuestDB is an open-source database designed to process time-series data, faster. Their approach comes from low-latency trading; QuestDB’s stack is engineered from scratch and dependency-free.