Steven Sklar

QuestDB is the fastest open source time series database. Raised $15m from 468 Capital, Uncorrelated Ventures, Y Combinator, Episode 1, Seedcamp and founders of GitHub, Docker, Reddit, D2iQ, Supabase, PostHog, NGINX, Instana, Citus Data https://github.com/questdb/questdb

- Built, operated, and maintained the company’s SOC2-compliant enterprise SaaS offering. Focus areas include: • Designed and implemented a multi-tenant, OIDC-based authentication framework that used Okta as an Identity Provider • Developed a fully-automated Vault pipeline to securely manage sensitive data • Architected the system healthcheck framework used for internal monitoring • Responded to incidents and escalations as an on-call engineer - Lead a program that enables customers to install Hyperscience in their on-premise Kubernetes clusters, which includes the following work streams: • Built a Go-based CLI to securely transmit application images and assets • Refactored internal components into a customer-facing Helm chart • Wrote documentation, release notes, and installation instructions • Provided hands-on customer support throughout the installation process - Designed, built, and deployed various internal systems including: • A Docker-based Terraform drift detector with flexible alerting capabilities • AWS IAM-powered remote terminal to use for troubleshooting SaaS environments - Reconfigured CircleCI pipelines to save tens of thousands of dollars per month - Mentored junior members of the team and acted as interim team leader for several months

- Built, deployed, and maintained microservices that ingested, preprocessed, and served data throughout the organization - Introduced new and innovative technologies to improve the CI pipeline and deployment process - Managed 4 team members through one-on-one meetings, code review, and teach-ins - Developed an optimized REST API and automated data delivery service using SFTP, S3, and email - Continuously refactored and improved the flagship platform to meet customer and product demands - Architected and implemented Predata's data pipeline that reduced processing time and improved system reliability - Built a custom Wagtail CMS for publishing in-house research

- Built the firm's risk portal that displays fund exposures, PnL, cash positions, VaR, and performance. - 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. Implemented an open source task running framework, Luigi, and moved processes to a centralized server to improve reliability. - Created a library that downloads and stores Non-Agency loan level data from 3rd party vendors. - Developed a library used to generate daily whole loan pricing and evaluate bulk loan packages for the firm's mortgage conduit, which includes an RMBS 2.0 CMO model that drives all pricing assumptions. - Managed the firm's IT infrastructure in Microsoft Azure and technology vendor relationships.

- 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. Not only did this reduce portfolio processing time by over 90%, it also serves as a hub for analyzing market trends. - 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. Most agency passthroughs, CMOs, and ARM pools that were traded since 2012 were sourced through this system. - Developed a replacement for a legacy software package that is used to manage a Mutual-to-Stock conversion transaction. Utilized documentation from a previous consultant, along with end-user specifications and domain knowledge, to provide a seamless transition to the new system. - Customized an existing whole loan auction platform by building an ASP.NET MVC website and added a sophisticated questionnaire to track customer investment parameters for more efficient marketing. - Wrote customized software to consume, validate, store, and integrate third party data feeds into internal systems. Vendors include SNL and IPREO. - Established a development process which includes version control, project management, automated progress reporting, and a wiki for centralized knowledge sharing.

- Priced Non-Agency RMBS securities for live trades, research, and monthly client marks. - Developed a tool to calculate bond loss coverage that led to trades of over $12 million in face value. - Prepared custom analytics packages for clients using Bloomberg, Intex, and Polypaths. - Used SQL and Excel VBA to develop an internal application to track, aggregate, and summarize daily RMBS market activity by parsing dealer inventories and BWICs.

- Provided analysis for over $7 billion of Bank Trust Preferred collateral backing 17 CDOs underwritten by Sandler O'Neill and participated in actively managing 3 of these deals.

- Created macro-oriented research reports and chart packages for the fund's Chief Investment Officer.