# Alexander C. Johnson > Bank Tech Engineering Lead | Capital One Location: New York, New York, United States Profile: https://flows.cv/alexandercjohnson I am an Engineering Manager with a data science background. I help build microservices that harness machine learning models. My background consists of being a Data Scientist at a quantitative hedge fund and a cybersecurity unicorn I have spent the last 4 years leading cross functional teams in building scalable applications and microservices to drive additional revenue. ## Work Experience ### Engineering Lead @ Capital One Jan 2024 – Present | New York, New York, United States ### Founder / CEO @ Cipher Technologies Jan 2025 – Jan 2026 | New York, NY Realtime security and compliance guardrails for agentic AI applications starting with voice agents. Led customer acquisition, led fundraising and secured enterprise pilots as well as recurring customers. Backed by Forum Ventures Acquired by Soxton ### Staff Data Scientist @ SecurityScorecard Jan 2022 – Jan 2024 | New York, United States Helped improved internal IP attribution model and reduce false positive attribution for 1M+ companies by leveraging unsupervised learning techniques. Deployed a production model for classifying parked domains using machine learning and proprietary risk signals on the domain level. (https://techblog.securityscorecard.com/solving-a-parking-headache-fc31ba21447a) Build Django Backend Automation for customer platform remediations with a mix of logical heuristics, machine learning and RAG; reducing customer support workload by 70% Build an Airflow scheduled job to to run statistical diagnostics on all scorecard scores to detect anomalies and any potential data failure that hasn't been caught upstream. ### Engineering Manager @ SecurityScorecard Jan 2020 – Jan 2022 | New York, United States - Lead Team of 10 Engineers comprised of Front-End, Back-End, and Full-Stack engineers to develop the company's intranet UI for all internal functionalities. (Re-developed from Ruby to React) Developed a Django REST framework for scorecard corrections that corrected on average ~5K erroneous scorecards a day, leading to 20% increase on customer satisfaction (CSAT) score from surveys. ### Data Scientist / Quantitative Researcher @ Data Capital Management Jan 2018 – Jan 2020 | New York, New York - Utilize cutting edge statistical methodologies for macroeconomic/industry insights and analytics. - Using the latest scientific techniques and advanced analysis methods to find patterns (extract alpha) in large, noisy data to produce predictive research. - Apply Applications of Machine Learning, Artificial Intelligence, and Quantitative Research on multiple heterogenous datasets for multi-factor purposes (Strategy Development,Portfolio Analysis, KPI Forecasting and Business Consulting). - Develop Machine Learning based front end user interface for the purpose of democratizing the quantitive research workflow for non-quantitative users. - Write, read, and deploy code within AWS, and GCP (Google Cloud) to develop, unit test, integrate and large scale code into front end production. ### Software Engineer @ Data Capital Management Jan 2018 – Jan 2018 | Greater New York City Area Fully automate existing ETL pipeline. Converted Luigi Pipeline to Airflow for monthly data aggregation and pre-processing of Financial Time Series. Significantly reduced data delivery timeline to Data Science team. ### IT Specialist @ University of Oklahoma - Information Technology Jan 2014 – Jan 2018 | Norman, Oklahoma ### Teaching Assistant @ University of Oklahoma Jan 2017 – Jan 2017 | Norman, Oklahoma Area - Teaching Assistant for Price College of Business' Department of Entrepreneurship and Venture Mgmt. ## Education ### Entrepreneurship/Entrepreneurial Studies University of Oklahoma ### Bachelor of Arts - BA in Econometrics and Quantitative Economics University of Oklahoma ### University of Oklahoma - Price College of Business ## Contact & Social - LinkedIn: https://linkedin.com/in/alexander-c-johnson-nyc --- Source: https://flows.cv/alexandercjohnson JSON Resume: https://flows.cv/alexandercjohnson/resume.json Last updated: 2026-04-05