Steven Hadler
Details
Electrical engineering
The University of Texas at Austin
Machine Learning
Coursera, Stanford Online
2014 : 2016
2020 : Present
Gap Inc.
Cybersecurity Leader - eCrimes
Created and managed a primary data-driven defense against digital crime for Charles Schwab. It consists of a dozen data scientists, analysts, software engineers and all supporting data technology. Led the discovery and remediation of many of Schwab’s most critical security episodes. Responsible for the management of the teams, development of the data platform and analytical tools as well as the success of the program.
** Ten-year saving approaching $100M.
LEADERSHIP
▪ Hired, mentored, developed an exceptional team of data analyst and software engineers.
▪ Awarded top 1% score for team engagement according to survey conducted by Coffman-Nexus
▪ Expanded teams influence by integrating their expertise into organizations across Schwab
▪ Fostered an open environment where inefficiencies and problems could be surfaced and corrected.
STRATEGY
▪ Established competitive strategies against the activities of criminals
▪ Collaborated with product and engineering to enhance the resilience of Schwab products to electronic crime.
▪ Established a taxonomy to describe fraud, criminal activity, and remediation strategies
ELECTRONIC CRIME
▪ Implemented widely read internal blog on current fraud events
▪ Publish research papers, spoke at conferences detailing criminal activity and actors
▪ Designed algorithms to combat phishing, password stuffing, keyloggers, and social engineering
DATA SYSTEMS & SOFTWARE ENGINEERING
▪ Led the design and implementation of a large high-performance data system
▪ Designed ETL system to form coherent information from many data sources
▪ Application Design
DATA SCIENCE
▪ Led data science team in search for exploitable phenomena
▪ Designed fraud detection algorithms - awarded US Patent.
TECH
▪ C#.Net, Accord.NET ML, Python, scikit-learn, Pandas, R
▪ SqlServer, Oracle, Teradata, SQL, Mongo, SPLUNK, RabbitMQ
▪ DevOps, Atlassian, GIT, DI, Veracode
▪ Software Design Patterns
▪ Bayesian inference, Logistic Regression
▪ SR 11-7
2009 : 2020
Charles Schwab & Co.
Managing Director, Data Science and Engineering - eCrimes
Pioneered the use of predictive analytics to eliminate digital crime.
• Received top 1% employee award for bringing in two quarters with $0 cyber-crime net losses
• Managed a team of two analysts and one engineer
• Designed and delivered innovative fraud and data analysis software
2008 : 2009
Charles Schwab
Senior Security Architect
Integrated a complex enterprise application into Schwab's client facing web site, call center, fraud operations group and technical infrastructure. Performed predictive analytics and model tuning
Results : Project completed 6 weeks early. Won top 1% employee performance award.
Strategy
● Decomposed complex monolithic proposal into separated designs of various aspects : client web, CRM, security professionals & control API. Iterated design of each towards the best solution.
● Devised mathematical model that substantially altered the predicted evolution of the product.
Leadership
● Led analytics team and proposed tuning model to balance cost vs. reward.
● Discovered and eliminated a costly yet unproductive component of the proposed solution.
● UX : Delivered initial user interface designs for client web and CRM applications.
2006 : 2008
Charles Schwab & Co.
Senior Business System Analyst
Design and led implementation of asset management system to track all 50,000 computers on Schwab’s network.
● Creativity : Devised report that clustered computers with similar mis-configuration flaws into manageable groups, which was key in the rapid remediation of devices and the project’s success.
● Distributed Systems : Designed queue-based scheduler to split collection tasks across many computers.
● UX : Designed reporting and data analytics experiences.
● Leadership : Managed team of three software engineers.
2004 : 2006
Charles Schwab
Senior System Architect
Skills
agile methodologies, Analytical Reasoning, Analytics, Big Data, big data analytics, Business Analysis, Business Intelligence, C#, Consulting, Creativity, Critical Thinking, Cross-functional Team Leadership, Cybersecurity, data analysis, Databases, Data Engineering, Data Governance, Data Science, Data Systems, DevOps, Enterprise Architecture, enterprise software, Extract, Transform, Load (ETL), Financial Services, information architecture, integration, IT Project & Program Management, it strategy, leadership, Machine Learning, Management, mobile applications, product management, program management, Project Management, Python (Programming Language), Risk Management, sdlc, Security, Software Architecture, software development, Software Engineering, software project management, Software Solution Architecture, Splunk, SQL, Strategy, TensorFlow, user experience, User Experience (UX), mobile devices, vendor management, c, cyber-security, cybercrime investigation
About
Created and managed a primary data-driven defense against digital crime for Charles Schwab. It consists of a dozen data scientists, analysts, software engineers and all supporting data technology. Led the discovery and remediation of major security events. Responsible for the management of the teams, development of the data platform and analytical tools as well as the success of the program.
** Ten-year saving approaching $100M.
LEADERSHIP
10+ year history leading highly productive cross-functional teams. Last team consisted of a dozen managers, data scientists, software engineers and fraud analysts. Believes in fostering a collaborative environment where each team member feels like they are winning.
** An independent survey (Coffman Nexus) placed team’s engagement in the 1% for all of Schwab.
STRATEGY
Substantial experience using data and scientific thinking to propel the vision of senior management into working solutions. Can present complex technology issues to Senior Management. Believes in the value of synergy, competitive advantage and emphasizing early value.
** Credited with transforming Schwab’s anti-fraud practice by leveraging existing data assets and instilling a culture of scientific thinking
DIGITAL CRIME
Recognized industry leader in the prevention of digital crime. Conference speaker, including the FSICAC. Designed algorithms to detect malware, phishing, account takeover, call-center social engineering. Project leader for Schwab’s first three data driven fraud prevention systems. Believes digital crime is a solvable technology flaw.
** Received two top 1% employee awards at Schwab for success in eliminating electronic crime
DATA SCIENCE
Proven abilities in complete lifecycle of enterprise data project, from identification of opportunities, data pipelines, model design and training, monitoring to compliance and privacy issues. Bridges the gap between the desires of the business and the idiosyncrasies of data and technology.
** Received a US Patent for data driven algorithm to mitigate password stuffing attacks at wire speed.
ENGINEERING
Very hands-on technologist with a degree in software engineering. Substantial experience as software team lead and solutions architect across multiple industries. Believes the development of strategy requires deep understanding of both business and technology.
** Architect of core components of Schwab’s anti-crime platform including data and analytical tools.
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