CrawlJobs Logo
Capital One Logo Capital One · IT - Software Development

Manager, Data Analysis - Model and Script Enhancement Compliance

United States, Richmond, Virginia Employment contract · Job Posted June 03, 2026
Apply Position
Job Link Share

Job Description

Manager, Data Analysis - Model and Script Enhancement Compliance. Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. In Capital One’s Compliance and Ethics Organization, we support the business in managing regulatory compliance risk through advice and effective challenge. Model and Script Enhancement (MASE) Compliance is focused on assessing compliance risk in models and scripts and advising the business on how to manage the identified risk.

Job Responsibility

  • Conduct computer code (script) reviews for the Code Design Intent Review (CoDIR) process
  • Leverage your analytical skills to support the Model Compliance Inherent Risk Assessment (MoCIRA) process
  • Identify opportunities to leverage GenAI or other capabilities to improve processes and automation
  • Collaborate with script owners, business risk offices and compliance partners across the enterprise
  • Partner with top talent in a fast paced, entrepreneurial environment where analytics, good data and risk management are a top priority
  • Mining model inventory, script inventory, and assessment results datasets to arrive at specific and crucial insights for the organization
  • Identifying and implementing process, data, and reporting improvements for the organization
  • Improving operational efficiencies and effectiveness
  • Conducting analysis to evaluate processes and tests

Requirements

  • Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics
  • or Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date
  • At least 4 years of experience performing professional data analysis work
  • At least 4 years of experience performing programming

Nice to have

  • Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
  • At least 5 years of professional data analysis work experience
  • At least 5 years of experience with Python, SQL and Java
  • At least 1 year of project management experience
  • At least 1 year of experience working in a Bank or Financial institution

What we offer

  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • health, financial and other benefits
Capital One - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Manager, Data Analysis - Model and Script Enhancement Compliance

8 matching positions

Non-Trading Market Risk Mgmt Sr. Analyst

The BSM NTMR Senior Analyst will support the production needs in various workstr...
Location
Location
India , Mumbai
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years experience in Financial Services, Treasury, and bank global liquidity investment portfolio
  • Strong Excel and PowerPoint skills for report building and presentations
  • Basic knowledge in debt investment securities and non-trading market risk such as FXRBB, commodity risk, private equity risk and CSRBB, QMMF and CCAR for Pensions, ATM/AFS portfolios, etc.
  • Fundamental understanding of regulatory, compliance, risk management and financial management, and data governance concerns
  • Intermediate understanding of Bank ALM, Capital, and Liquidity considerations
  • Basic experience in debt investment securities analytics, measurement, metrics and methodologies
  • Demonstrated ability to collaboratively solution complex and dynamic processes
  • Ability to work under pressure in ambiguous environments
  • Strong oral and written communications skills with ability to synthesize complex concepts
  • Strong technical problem-solving skills
Job Responsibility
Job Responsibility
  • Support analysis in the implementation of BSM’s process by providing key analytical insights across BSM functions with a primary focus on asset allocation, FXRBB, OCI stress testing analytics for (CCAR) and QMMF for pensions and AFS /HTM securities, Commodity/Equity/CSRBB risk
  • Provide accurate analysis to be used for enhancing BSM’s analytics and methodologies and establishing Citi's first-line NTMR management framework (Policy/Standard/Procedures, models, methodologies, reporting, controls, processes, analytics, data and documentation)
  • Develop key management review presentations
  • Oversee the data results and management report metrics for decision processes
  • Support subject matter experts on the team to aid senior leaders in aligning governance and management framework, procedures and controls for all legal entities that have OCI Risk, FX risk, commodity risk, credit spread risk in the Banking Book
  • Liaise with businesses, legal entity treasury, CTI and Markets Treasury, and Controllers teams to ensure both an understanding and the ability to manage other non-trading market risks
  • Support the team and assist Manager with remediation gap efforts in other non-trading market risk (excl IRRBB) as required by Tier 1 regulations and help to remediate regulatory/audit self-identified issues concerning other non-trading market risks in the banking book and achieve target state framework
  • Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function
  • Integrates subject matter and industry expertise within a defined area
  • Contributes to enhancing processes to manage these exposures in a well governed environment
  • Fulltime
Read More
Arrow Right

Sr Data Engineer

The purpose of the Data Engineer position is to leverage their technical experti...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
https://www.randstad.com Logo
Randstad
Expiration Date
July 03, 2026
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or a related field with a focus on data engineering or data analytics
  • Strong proficiency in programming languages such as Python, SQL, Java, or Scala for data processing and analysis
  • Experience with data modeling, ETL processes, data warehousing, data integration, and data pipeline development
  • Proficiency in relational databases (e.g., SQL, PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra)
  • Working knowledge of cloud platforms such as Snowflake, AWS, Azure, or Google Cloud Platform for data storage and processing
  • Experience with data visualization tools (e.g., Power BI) to create meaningful insights from data
  • Understanding of data quality principles, data governance, and data validation processes
  • Ability to analyze complex data sets, identify trends, patterns, and insights to drive data-driven decision-making
  • Proficiency in troubleshooting data-related issues, identifying root causes, and implementing solutions
  • Familiarity with project management methodologies to contribute effectively to project planning and execution
Job Responsibility
Job Responsibility
  • Build pipelines using standard patterns for data pipelines and workflows utilizing Streamsets, Kestra, dbt, Git
  • Design and Implement data storage and processing solutions employing Snowflake
  • Utilize AWS services for cloud-based platform tooling infrastructure including but not limited to Lambda,ECS,MSK,RDS,EC2, Secrets Manager, ALB, Cloud Watch, Event Bridge
  • Utilize Terraform for AWS and Azure deployments
  • Leverage and integrate APIs for data access and manipulation
  • Write Python scripts for data common processing and automation tasks
  • Leverage Platform API’s and Web Applications to enforce Platform Security
  • Create and execute comprehensive test plans to ensure the pipelines functionality and performance
  • Develop unit tests, integration tests, and end-to-end tests for data pipelines and workflows
  • Ensure data accuracy and consistency through rigorous testing processes
What we offer
What we offer
  • Commitment to your ongoing development, including on the job opportunities and formal programs
  • Inclusive parental leave entitlements for both parents
  • Values led culture
  • Flexible work options
  • Generous annual leave, sick leave and casual leave
  • Cultural and religious leave with flexible public holiday opportunities
  • A competitive remuneration package featuring performance based incentives with uncapped Employer Provident Fund
  • Fulltime
Read More
Arrow Right

Level 3 Data Engineer

The purpose of the Level 3 Data Engineer position is to leverage their technical...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
https://www.randstad.com Logo
Randstad
Expiration Date
July 04, 2026
Flip Icon
Requirements
Requirements
  • 10yrs Data Engineering/Data Analyst experience
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or a related field with a focus on data engineering or data analytics
  • Strong proficiency in programming languages such as Python, SQL, Java, or Scala for data processing and analysis
  • Experience with data modeling, ETL processes, data warehousing, data integration, and data pipeline development
  • Proficiency in relational databases (e.g., SQL, PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra)
  • Working knowledge of cloud platforms such as Snowflake, AWS, Azure, or Google Cloud Platform for data storage and processing
  • Experience with data visualization tools (e.g., Power BI) to create meaningful insights from data
  • Understanding of data quality principles, data governance, and data validation processes
  • Ability to analyze complex data sets, identify trends, patterns, and insights to drive data-driven decision-making
  • Proficiency in troubleshooting data-related issues, identifying root causes, and implementing solutions
Job Responsibility
Job Responsibility
  • Build data pipelines using standard patterns with Streamsets, Kestra, dbt, Git
  • Design and implement data storage and processing solutions employing Snowflake
  • Utilize AWS services for cloud-based platform tooling infrastructure including Lambda, ECS, MSK, RDS, EC2, Secrets Manager, ALB, Cloud Watch, Event Bridge
  • Utilize Terraform for AWS and Azure deployments
  • Leverage and integrate APIs for data access and manipulation
  • Write Python scripts for data common processing and automation tasks
  • Leverage Platform APIs and Web Applications to enforce Platform Security
  • Develop with Go, SQL, C#, .net, JavaScript, shell scripts and container platforms like Docker
  • Integrate with timeseries source systems: Honeywell Plant Historian Database, OSI Pi
  • Implement authentication mechanisms including OAuth 2.0, OIDC, Microsoft Entra, Key Pair Authentication, Certificate based authentication, SAML based SSO
What we offer
What we offer
  • Commitment to your ongoing development, including on the job opportunities and formal programs
  • Inclusive parental leave entitlements for both parents
  • Values led culture
  • Flexible work options
  • Generous annual leave, sick leave and casual leave
  • Cultural and religious leave with flexible public holiday opportunities
  • Competitive remuneration package featuring performance based incentives with uncapped Employer Provident Fund
  • Fulltime
Read More
Arrow Right

Senior Big Data Engineer - Assistant Vice President

The Senior Data Engineer (C12 – AVP) is a senior-level position responsible for ...
Location
Location
India , Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 9–12 years of relevant experience in data analysis and data engineering, preferably within the Financial Services or Banking industry
  • Proven interpersonal, diplomatic, management, and prioritization skills
  • Consistently demonstrates clear and concise written and verbal communication
  • Proven ability to manage multiple activities, build strong working relationships, and work effectively under pressure
  • Demonstrated strong problem-solving, analytical, and decision-making skills with a methodical attention to detail
  • Proven self-motivation to take initiative and master new tasks and technologies quickly
  • Education: Bachelor's degree / University degree in a technical or business discipline (Computer Science, Information Systems, Engineering, Finance, or equivalent experience)
  • Functional Skillset: Data Analysis: Extensive experience in analyzing and interpreting complex data from disparate sources to provide actionable insights
  • Financial/Banking Domain Expertise: Strong understanding of financial products, banking processes, and industry standards
  • Data Requirements Definition: Proven ability to analyze different data sources and datasets to create comprehensive data mapping documents and define data ingestion requirements
Job Responsibility
Job Responsibility
  • Consult with users and clients to solve complex data-related issues through in-depth evaluation of business processes, data sources, and industry standards
  • Analyze large and diverse datasets from various sources to identify trends, patterns, and anomalies, providing critical input for business and technology initiatives
  • Develop and document data mapping specifications, transformation logic, and ingestion requirements for new data pipelines and systems
  • Consult with business clients to determine functional specifications for data-centric systems and provide ongoing operational support
  • Design and implement scalable data pipelines and batch/streaming workflows using Apache Spark, Spark Streaming, Hive, and Hadoop within enterprise big data ecosystems
  • Develop and maintain backend services and automation scripts using Java, Spring Boot, JPA, and Shell Scripting to support data processing and operational workflows
  • Build and manage event-driven data architectures leveraging Apache Kafka for real-time data ingestion and streaming use cases
  • Automate job scheduling and dependency management using Autosys
  • manage and optimize Oracle database objects and queries to support analytical workloads
  • Develop supporting interfaces and data visualization components using JavaScript to enhance data accessibility and reporting capabilities
  • Fulltime
Read More
Arrow Right

Business Model Validation and Implementation- Assistant Vice President

The Model/Anlys/Valid Sr Analyst is a seasoned professional role. Applies in-dep...
Location
Location
India , Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years experience
  • Proficient in Microsoft Office with an emphasis on MS Excel
  • Consistently demonstrates clear and concise written and verbal communication skills
  • Self-motivated and detail oriented
  • Demonstrated project management and organizational skills and capability to handle multiple projects at one time
  • Bachelor’s/University degree or equivalent experience
  • Advanced experience in C and Python
  • Firm understanding of Linux operating system and Linux scripts
  • Optimize, test, and validate professional grade code for the implementation and execution of Risk models utilizing C and Python in a Linux environment following SDLC lifecycle
  • Develop Linux scripts to automate execution within operating environment
Job Responsibility
Job Responsibility
  • Develops, enhances, and validates the methods of measuring and analyzing risk, for all risk types including market, credit and operational
  • Also, may develop, validate and strategize uses of scoring models and scoring model related policies
  • Conducts statistical analysis for risk related projects and data modeling/validation
  • Applies quantitative and qualitative data analysis methods including SAS programming, Structured Query Language (SQL) to extract, transform and analyze data and Visual Basic programming language
  • Prepares statistical and non-statistical data exploration, validate data, identify data quality issues
  • Conducts data analysis, data mining, understand and create formal statistical documentation, reports and work with Technology to address issues
  • Analyzes and interprets data reports, make recommendations addressing business needs
  • Uses Predictive modeling methods, Optimizing monitoring systems, document optimization solutions, and present results to non-technical audiences
  • create formal documentation using statistical vocabulary
  • Generates statistical models to improve methods of obtaining and evaluating quantitative and qualitative data and identify relationships and trends in data and factors affecting research results
  • Fulltime
Read More
Arrow Right

Cognos Application Developer

The Applications Development Intermediate Programmer Analyst is an intermediate ...
Location
Location
India , Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of relevant and strong experience in Cognos
  • Intermediate level experience in Applications Development role
  • Consistently demonstrates clear and concise written and verbal communication
  • Demonstrated problem-solving and decision-making skills
  • Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
  • Strong skills and experience in IBM Cognos software to build reports, dashboards, and scorecards to present data in a clear, visual, and actionable format
  • Managing user permissions and security settings within the Cognos environment
  • Collaborating with business users to understand their reporting and data analysis needs
  • Designing and developing data models to support reporting and analytical applications
  • Experience for migrating the code to higher environment and support infra related activities
Job Responsibility
Job Responsibility
  • Strong skills and experience in IBM Cognos software to build reports, dashboards, and scorecards to present data in a clear, visual, and actionable format
  • Managing user permissions and security settings within the Cognos environment
  • Collaborating with business users to understand their reporting and data analysis needs
  • Designing and developing data models to support reporting and analytical applications
  • Experience for migrating the code to higher environment and support infra related activities
  • Training and guiding the users on Adhoc reporting
  • Provides technical leadership to team members
  • Very Strong & Experience of SQL skills are essential for data extraction and manipulation from databases
  • Very strong Knowledge and Experience of data warehousing principles, table structures, database keys, and efficient data joining techniques and strong performance tuning capabilities
  • Performance Tuning Optimizing reports and data models for efficient performance and reliability
  • Fulltime
Read More
Arrow Right

Data Science Engineer

Softthink Solutions is seeking a highly motivated and result-oriented Data Scien...
Location
Location
United States , Herndon
Salary
Salary:
Not provided
softthink.com Logo
Softthink Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Computer Information Systems, Information Technology or a combination of education and experience equating to the U.S. equivalent of a Bachelor’s degree in one of the aforementioned subjects
Job Responsibility
Job Responsibility
  • Develop and maintain a demand forecasting model for a large volume of unique textbook SKUs, which serves as the basis for inventory management, pricing, and sales
  • Use a decision tree to develop a Quality scoring model, optimize for better results, and segment and rank inventory more effectively
  • Build pricing algorithms to optimize B2C sales and rental rebate, lead to an average margin increase of 10%
  • Develop Python scripts to scrape prices from various aggregator websites, enhance data collection and analysis capabilities
  • Build data pipelines to ingest, transform and clean data from diverse sources like Excel, text, JSON, and multiple databases from across the organization
  • Proficient in coding SQL queries, stored procedures, and building reports in Power BI and Tableau, as well as building and optimizing data warehouses, schemas, pipes, and tables in Snowflake
  • Develop and implement testing plans to ensure the accuracy and validity of models and algorithms, including unit testing, integration testing, and regression testing
  • Conduct A/B testing to measure the effectiveness of different pricing strategies and other business decisions and using statistical analysis to evaluate the results
  • Identify and address any issues or errors in the data or models, and work with other team members to develop solutions and improve performance
  • Create and maintain documentation for testing procedures and results, as well as for models, algorithms, and data pipelines
  • Fulltime
Read More
Arrow Right

Staff II Software Engineer AI/ML Ops

We're looking for a Lead Data Engineer to design, build, and optimize data pipel...
Location
Location
United States , Pleasanton
Salary
Salary:
245000.00 - 307000.00 USD / Year
blackline.com Logo
BlackLine
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong programming skills in languages such as Python, Java, or Scala
  • Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow)
  • Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure)
  • Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management
  • Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation
  • Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking
  • Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads
  • Proficiency in containerization technologies (e.g., Docker, Kubernetes)
  • Proficient in scripting languages (e.g., Bash, python) for automation
  • Experience with workflow orchestration tools (e.g., Apache Airflow)
Job Responsibility
Job Responsibility
  • Lead data pipeline development: Build and maintain PySpark ETL pipelines with high data quality and performance
  • Manage integrations: Establish robust connections to client data sources via APIs and tools like FiveTran, Plaid, and BlackLine's own internal connector ecosystem
  • Ensure reliability: Monitor pipeline performance, automate testing, and validate data accuracy
  • Optimize for scale: Implement performance improvements (e.g., CDC mechanisms, indexing strategies) for large-scale datasets
  • Collaborate & innovate: Work with business stakeholders to refine data requirements and integrate cutting-edge AI and big data technologies
  • Partner with data science, security, and product teams to set evaluation and governance standards (Guardrails, Bias, Drift, Latency SLAs)
  • Mentor senior engineers and drive design reviews for ML pipelines, model registries, and agentic runtime environments
  • Lead incident response and reliability strategies for ML/AI systems
  • Collaborate with development teams to integrate AI solutions into existing workflows and applications
  • Ensure seamless integration with different platforms and technologies
What we offer
What we offer
  • Short-term and long-term incentive programs
  • Robust offering of benefit and wellness plans
  • Fulltime
Read More
Arrow Right