Citi

Backend Engineer

• Develop and maintain responsive, high-performance web user interfaces using Angular.
• Implement engaging and intuitive user experiences, translating UI/UX design mockups and wireframes into clean, well-structured code.
• Ensure the technical feasibility of UI/UX designs.
• Design, develop, and maintain server-side applications and APIs using Java, Spring Boot, and related frameworks.
• Develop robust, high-performance, and secure backend services.
• Collaborate with UI/UX designers to enhance the user experience.
• Participate in all phases of the software development lifecycle, including requirements gathering, design, development, testing, deployment, and support.

Java Full Stack Developer

Compliance

• Obtain and conduct QA/QC on all data required for CCAR/CECL model development
• Develop segment and/or account level CCAR/CECL stress loss models
• Perform all required tests (e.g. sensitivity and back-testing)
• Validate/recalibrate all models annually to incorporate latest data. Redevelop as needed
• Deliver comprehensive model documentation
• Work closely with cross functional teams, including country/region’s business stakeholders, model validation and governance teams, and model implementation team
• Prepare responses/presentations to regulatory agencies on all CCAR/CECL models built

Regulatory Model Development Analyst II

Collections

• Serve as the primary risk point of contact for third-party sub-servicer collections governance
• Continuously monitor collections strategy performance and sub-servicer operational adherence
• Lead the design, development, and optimization of early- and late-stage collections and recovery strategies
• Apply statistical methodologies and analytical tools — including SAS, SQL, R, and Python
• Design and execute champion/challenger tests
• Develop, track, and report on key initiatives, performance results, and emerging portfolio trends
• Lead collections-related projects and cross-functional initiatives
• Manage the audit and control environment for the collections risk function
• Build and maintain cross-functional partnerships across mortgage servicing, finance, controls, and legal and compliance

VP, Credit Portfolio Manager – Residential Real Estate Servicing Risk – Collections

• Performs Collections Specialist 3 duties plus:
• Uses advanced negotiation skills to resolve High Risk calls.
• Coaches/trains lower level Collectors and new team members.
• Prioritizes workflow to help identify process improvements.
• Interprets procedures/instructions by choosing among alternatives to resolve problems.
• Works under limited supervision.
• May support an expansive array of products/services.
• Demonstrates technical/administrative expertise.
• Appropriately assess risk when business decisions are made.

Collections Specialist

QA Automation Engineer

• Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
• Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
• Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
• Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
• Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems
• Ensure essential procedures are followed and help define operating standards and processes
• Serve as advisor or coach to new or lower level analysts
• Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy

Senior Quality Engineering Automation Developer

Data Analyst

• gathers operational data from various cross functional stakeholders to examine past business performance
• identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
• recommends actions for future developments & strategic business opportunities, as well as enhancements to operational policies
• may be involved in exploratory data analysis, confirmatory data analysis and/or qualitative analysis
• translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings
• continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities
• work closely with internal and external business partners in building, implementing, tracking and improving decision strategies
• appropriately assess risk when business decisions are made

Data Analyst – AVP

Performance Marketing

• Build and structure paid search campaigns across Google Ads and Microsoft Ads
• Traffic ad copy variations and implement ad extensions
• Apply audience targeting, geotargeting, device bid adjustments, and scheduling parameters
• Implement UTMs, click trackers, and Floodlight conversion tags
• Perform structured pre-launch quality assurance checks
• Monitor daily campaign performance across pacing, CTR, CPC, and conversion trends
• Set up and monitor A/B and multivariate tests for ad copy and landing pages
• Maintain build trackers, QA logs, and pacing records

Senior SEM Analyst, Paid Search Activation

• Develop integrated media campaigns from inception to execution, including day to day management of multiple agencies and strategic oversight.
• Develop consumer focused and insight driven briefs and lead integrated agency briefing sessions.
• Drive successful integration of campaigns across all marketing channels/touchpoints.
• Manage cross functional teams in social, Public Relations, product, media, digital to ensure seamless integration.
• Manage legal and product review process for all media creative.
• Partner with internal business teams to manage expectations and solve for issues that may arise.
• Provide guidance to internal business partners in the development of marketing materials.
• Manage day-to-day relationship with agencies and provide clear direction.

SEM Manager, Paid Search Activation

Data Scientist

• creating analytical solutions to mitigate losses across all LOB’s utilizing various statistical/advanced data science techniques
• analysis of compromised cards data from dark web to identify emerging fraud trends, detect suspicious fraud patterns, and anomalies, identify high risk merchants, locations and transaction behaviors
• leverage AI/ML models (eg anomaly detection, graph neural networks, NLP) to anticipate fraudulent behavior
• experience with AI techniques and implement AI powered automation to improve fraud detection efficiency
• develop and enhance data models and algorithms to identify high risk accounts for proactive monitoring and closure
• assess the impact of compromised cards on fraud losses, use statistical analysis to quantify risk exposure and identify abnormal spending patterns
• collaborate with threat intelligence teams to incorporate external fraud signals into risk models
• identify fraud rings, mule accounts, synthetic identities by linking compromised data to existing customer portfolios
• generate executive level insights and reports for leadership team using advanced visualization techniques and provide regular updates on fraud trends and emerging threats
• provide actionable insights to senior global stakeholders by leveraging data analytics and reporting
• lead POC’s with new vendors, evaluating fraud detection tolls, data enrichment platforms and dark web monitoring solutions
• perform ad-hoc analysis on large, unstructured datasets (eg transaction logs, dark web feeds) to identify fraud indicators
• use Python, SQL and SAS to extract, transform and analyze complex datasets
• manage significant fraud events by helping coordinate information sharing across financial crime and fraud prevention Org
• partner with various cross-functional teams such as Fraud Policy, Analytics & Modelling, Security Operations Center to help design intelligence derived solutions to detect fraud

Senior Data Scientist

Product Analyst

• Identify, evaluate, and prioritize strategic partnership opportunities that support growth objectives.
• Develop market assessments and business cases for new partnership models and lending ecosystem opportunities.
• Build and maintain relationships with fintechs, lenders, marketplaces, and other external partners.
• Lead partner evaluation, due diligence, and selection processes.
• Define program objectives, economics, customer experience, governance, and success metrics.
• Develop scalable operating models that support long-term program growth.
• Build financial models and business cases to evaluate strategic opportunities.
• Assess customer, revenue, risk, operational, and regulatory impacts.
• Present recommendations and investment cases to senior executives and governance committees.
• Define requirements, implementation plans, and target operating models.
• Coordinate across Legal, Compliance, Risk, Finance, Accounting, Technology, Product, and Operations teams.
• Monitor industry trends, fintech partnerships, emerging lending models, and competitive developments.
• Ensure key metrics are met.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.

Consumer Product Sales Senior Lead Analyst – Business Development

Vice President

• Lead the development and execution of Citi’s media measurement framework, including performance reporting, attribution strategy and incrementality testing and analyses
• Partner closely with internal stakeholders in media, adtech, product and across LOBs to help enable data driven decision making for media strategy and optimization and identify their measurement requirements
• Manage the attribution measurement and reporting process for all lines of business, overseeing all aspects including report QA, insights generation and sharing up to senior stakeholders
• Calibrate media performance from across multiple data sources and reports to provide a clear media performance narrative, translating data into clear and actionable insights for senior stakeholders
• Support the development of measurement roadmap, media test and learn agenda, and advanced analytics studies for cross-channel measurement
• Meet with vendors and develop a deep understanding of different methodologies to help evaluate and support the development of innovative and future proof measurement solutions
• Serve as a subject matter expert in measurement – ability to speak to different measurement methodologies, measurement landscape and industry changes
• Simplify complex measurement terminology into compelling narrative for senior stakeholders across the org

AVP Media Sciences, Measurement

Program Manager

• Supports planning, directing and coordination of day-to-day activities of running a program or portfolio of programs
• Applies in-depth understanding of how areas collectively integrate within the subfunction
• Assesses creation and signoff of program plan and charter
• Oversees program plans meet business needs
• Ensures all stakeholders are identified and included in scope definition activities
• Works with Program Sponsor to ensure business case cost benefit analysis is in line with business objectives
• Ensures all areas of the program are appropriately staffed
• Monitors program commitment from those assigning resources
• Escalates program risks to the Program Director or Program Sponsor when appropriate
• Creates the program risk management plan
• Works with procurement team to create, administer, track, and eventually close program contracts
• Makes recommendations for training and development needs for assigned personnel
• Evaluates subordinates' performance and makes recommendations for pay increases, promotions, terminations, and other personnel actions
• Directs area supported through responsibility for delivery of end results and shared responsibility for budget management
• Ensures essential procedures are followed and contributes to defining standards
• Appropriately assess risk when business decisions are made

Program Management Lead – VP

• Help drive business outcomes through advanced analytics, including but not limited to:
• Develops analytics roadmap for audience development and targeting to improve ad and offer relevance for core use cases such as category, conquesting, loyalty, and lifecycle audiences.
• Analyze audience strategy for advertiser relevance to enhance our ability to pitch to various advertisers and meet their targeting needs.
• Generate insights on audience composition, behavior, and performance to inform go-to-market strategy.
• Help identify new audience offering and custom audience opportunities based on Citi data assets and campaign learnings.
• Develop targeting solutions and AI/ML models to drive customer engagement.
• Build and integrate Gen AI capabilities to accelerate audience development and insights generation.
• Partner with Finance and Product teams to forecast business growth and revenue on a granular basis and track actuals versus forecast.
• Work in a high performing team and develop team members to drive successful outcomes.
• Partner closely with Product Development, Sales, Ad Ops, Analytics Measurement, Marketing, and Technology teams to integrate analytical insights into product design, marketing campaigns, and business development initiatives.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively.

Lead Analyst, Specialized Analytics

Threat Intelligence Specialist

• Lead open source analysis for CSIS investigations involving fraud, cyber, insider, and other security threats facing the firm.
• Use advanced techniques to monitor threats and collect data from multiple open sources, including social media, the deep and the dark web, to support intelligence questions.
• Apply advanced qualitative and quantitative analytical methodologies to turn information and data into actionable intelligence, including but not limited to link analysis and digital footprint analysis.
• Anticipate, identify and develop innovative solutions to intelligence gaps.
• Partner with internal and external stakeholders on open source methodologies and tools where appropriate to close identified gaps.
• Deliver analysis and findings in the form of high quality, succinct, and straightforward written products and oral briefings.
• Manage multiple projects simultaneously with a proactive, self-motivated approach, ensuring timely delivery of high-quality results while collaborating effectively with global teams.

Senior Intelligence Analyst

Operations

• Review and confirm alerts received by CBNA for IPB U.S clients related CBOL wires, suspicious activity and escalated cases.
• Review accounts that have cash withdrawals in excess of a threshold or unusual pattern.
• Monitor checks that trigger alerting parameters in place and confirm legitimacy.
• Review fraud related cases that are opened by the business to the fraud unit pertaining to failed ids and suspicious activity.
• Review and confirm all changes to client from countries considered high risk.
• Assist the Fraud Prevention Unit manager with various projects and initiatives, leveraging data-driven insights.
• Effectively provide updates and communicate key initiatives to senior management, supported by comprehensive reporting.
• Identify emerging risks and contribute ideas to implement mitigating controls, utilizing data analysis to predict fraud issues.
• Attend meetings/conference calls as required and serves as a subject matter expert for team supported.
• Review goals, financial targets, strategy program, metrics, and reporting, actively contributing to their development and analysis.
• Develop diagnostics capabilities to predict fraud issues and address them, informed by robust data analysis.
• Analyze loss data to identify fraud trends and develop project plans to reverse trends and reduce losses, utilizing various data tools.
• Search for root cause of fraud and develop programs to close any gaps, often requiring in-depth data investigation.
• Perform capacity plans and contribute to the achievement of the Fraud Unit team goals.
• Interacts with all levels of managers, internal departments, and external clients to resolve complex issues, often using data to support findings.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
• Investigate data anomalies within fraud data sources to ensure accuracy and integrity, supporting operational reviews and reporting.
• Assist in the development and maintenance of operational reports and dashboards to provide timely insights for fraud prevention initiatives.
• Leverage basic SQL queries and data analysis tools to efficiently extract and manipulate data for fraud investigations and operational reporting.
• Identify opportunities for process automation within operational fraud prevention tasks to enhance efficiency.
• Collaborate with cross-functional teams to improve data flow and reporting capabilities relevant to fraud operations.