C

Christopher Kim

Director of Engineering

Dallas, Texas, United States13 yrs 4 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Led a global team of 45+ data engineers.
  • Achieved $10M+ annual savings through modernization.
  • Recognized as a top people leader in data organization.
Stackforce AI infers this person is a Data Engineering and Analysis expert in the Fintech industry.

Contact

Skills

Core Skills

Data EngineeringData ManagementData AnalysisRisk Management

Other Skills

AccessAgile methodologiesAirflowAutoCADJavaJenkinsKYCMatlabMicrosoft ExcelPythonQA processesRSASSAS programmingSQL

Experience

13 yrs 4 mos
Total Experience
6 yrs 8 mos
Average Tenure
13 yrs
Current Experience

Capital one

8 roles

Director, Data Engineering

Promoted

Aug 2024Present · 1 yr 10 mos

  • Loan Servicing Performing Loans and Platform of the Future
  • Lead data organization of 45+ data engineers and analysts to build and maintain analytical data architecture, with deep experience in business and operational metrics
  • Recruit and retain top data talent, invest in engineering efficiency and developer enablement
  • Data Lead for Financial Services Core Modernization, leading strategy for data validation, testing, monitoring, migration, and recovery
  • For Core Modernization, built parallel data environment for testing and RCA tooling to achieve
  • 100% accuracy in new system, and enabled deprecation of 3rd party system, saving $10M+ annually
  • Lead Global team of engineers, with engineers onsite, near-shore (Mexico), and offshore (India)
  • Data Week presentation on Core Modernization Lessons Learned to ~250 associates
  • Maintain data standards, best practices and data delivery SLAs
  • Recognized in 2025 as the People's Choice Servicing Tech People Leader
data architecturedata validationdata monitoringdata migrationdata recoveryData Engineering+1

Sr. Manager, Data Engineering

Promoted

Mar 2021Jul 2024 · 3 yrs 4 mos

  • Vehicle Resolutions, Keep Me In My Car, Collections of the Future, and Horizontal Credit
  • Collaborate with and across Agile teams to design, develop, test, implement, and support end-to-end data pipelines for critical data models, dashboards, business strategy, and other data solutions
  • Support operational effectiveness, performance monitoring, and program monitoring by delivering on products and dashboards within Loss Mitigation, and enable Regulatory Reporting to Global Finance daily and quarterly reporting to SEC
  • Utilize programming languages like Python, orchestration tools such as Airflow and Jenkins, and Cloud based data warehousing services such Snowflake
  • Perform unit tests and conduct reviews with team members to make sure code is rigorously designed, elegantly coded, and effectively tuned for performance
  • Serve as performing data steward, maintain metadata standards, remediate sensitive data across all data platforms, and maintain data delivery SLAs
  • Manage 24 data engineers and data analysts across four teams in Loss Mitigation and Credit
  • Serve as Data Job Champion and lead Data 101 sessions for newly hired associates in Servicing
  • In 2023 one of two recognized in the Data organization for people leadership, associate engagement, enablement, and inclusion
data pipelinesAgile methodologiesPythonAirflowJenkinsSnowflake+2

Senior Data Analysis Manager

Jan 2020Mar 2021 · 1 yr 2 mos

  • Vehicle Resolutions and Horizontal Credit
  • Manage data teams for Vehicle Resolutions and Loss Mitigation Horizontal Credit teams
  • Enable strategy rollout, operational effectiveness, performance monitoring, and program monitoring by delivering on data products and dashboards within Loss Mitigation
  • Build and maintain production batch and streaming data pipelines, manage Cyber compliance, and critical data infrastructure for internal and external partners
  • Manage submissions for Troubled Debt Restructuring, as well as quarterly submissions to OCC
data managementperformance monitoringdata infrastructureData ManagementData Analysis

Data Analysis Manager

Feb 2018Jan 2020 · 1 yr 11 mos

  • Internal Services (Feb 2019-Jan 2020)
  • Manage data team owning business critical and regulatory-required QA processes and Control reporting relating to risk, written and digital correspondence, and customer complaints
  • Build real-time data pipelines for new internal applications enabling capabilities in QA, digital messaging tracking, and Voice to Text
  • Deliver on products and dashboards to manage agent performance for 2k agents, KPIs for QA performance, workload balancing, and efficiency
  • Auto Finance Loan Servicing (Jul 2018-Jan 2019)
  • As a team lead for data migration project, managed 10-person team in delivery of 85 critical operational reports to Tableau and Snowflake from Business Objects and Teradata/SQL Server
  • Create metadata and record data lineage for 1000+ data elements for consumption in Nebula
  • Closely partner with Data Engineering, Data Risk Management, and Servicing Operations teams for efficient rollout, robust implementation, correct documentation, and increased confidence of new tools
  • Mortgage Portfolio Sale (Feb 2018-Jun 2018)
  • Manage four-person data team on sale of $8B MSR portfolio and $17B Whole Loan portfolio
  • Own research, processing, quality, validation, and delivery of data elements for investor valuations
  • Oversee generation of 650 critical data points and response to 250 due diligence and advisor requests
QA processesdata pipelinesdata migrationData ManagementData Analysis

Principal Data Analyst

Jul 2016Jan 2018 · 1 yr 6 mos

  • Home Loans Servicing + Audits & Exams
  • Audit team data lead owning data response for the OCC, GSEs, Internal Audit, etc.
  • Data SME for building/maintaining critical data processes for KYC, program eligibility, and digital communication
  • Manage Intern to build an internal workflow tool in Flask
  • Organize six-person data team prioritization across multiple areas of Home Loans Servicing
  • Work with operations teams to identify, size, and track critical reports to be migrated to cloud, cutting down initial reporting needs by 55%
data auditingdata processesKYCData ManagementData Analysis

Principal Data Analyst

Promoted

Feb 2016Jun 2016 · 4 mos

  • Data Strategy Team
  • Retroscoring application development in Flask
  • Lead for obtaining user feedback and iterating to meet customer needs
  • Migration of historical data and processes to AWS/Redshift
  • Testing of process conversion to Spark
application developmentuser feedbackdata migrationData ManagementData Engineering

Senior Data Analyst

Promoted

Aug 2012Jan 2016 · 3 yrs 5 mos

  • Subprime Card Customer Management/Acquisitions (Aug 2013 - Jan 2016)
  • Primary SME for Early Credit Limit Increase Programs ($3B+ in annual exposure), Multicard ($1B+), and Secured Card by coding, implementing, and monitoring campaigns
  • Worked extensively on the adoption of a consistent Ability-to-Pay script across CLIP programs up to regulatory standards
  • Managed Secured Card data warehouses and created new Multicard data warehouse, integrating Partnerships data and putting tables into production
  • Provide data expertise/support for reporting and enhanced risk model creation
  • Credit Risk Management (Aug 2012 - Jul 2013)
  • Integrate HSBC, Kohls, and other Partnerships data sources into loss forecasting models
  • Implement and validate Next-gen account level loss model scorecards
data managementrisk modelingData AnalysisRisk Management

Data Analyst

Jul 2011Jul 2012 · 1 yr

  • Credit Risk Management
  • Support loss forecasters in Credit Risk Management of US+Canada Card Portfolio
  • Automate generation of reports pulling from multiple sources/systems and maintain data quality in loss forecasts
  • Analyze financial metrics relating to delinquencies, recoveries, and chargeoffs
report automationdata qualityData AnalysisRisk Management

Ups

Industrial Engineering Intern

Aug 2008Dec 2008 · 4 mos

  • Forecast and schedule drivers for Peak Season planning
  • Program dynamic schedule to optimize facility's Car Wash operation
  • Implement systematic evaluation of bonus hours for $100k of cost savings
schedulingcost savings

Education

Cornell University

Master of Engineering (M.Eng.) — Operations Research - Data Analytics

Jan 2010Jan 2011

Cornell University

Bachelor's degree — Operations Research

Jan 2006Jan 2010

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