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Requirements: Requires a Bachelor ‘s degree, or foreign equivalent, in Computer Engineering, Information Systems, Statistics, or related field and 5 years of progressive, post-baccalaureate experience as a Software Engineer, Application Development Analyst, Fraud Risk Analyst, Business Analytics Analyst, Business Analytics Manager, or related position involving development and implementation of business software solutions. Must have experience with: Base and Advanced SAS programming including constructs like Macros & Proc SQL, for data extracting, cleaning, manipulation and performing complex system simulation. Data sources like Fiserv Falcon data files, Broadcom ARCOT Reporting, SQL Server Tables, Teradata, Fiserv First Track data files. Broadcom ARCOT, DefenseEdge, SAS Fraud Management, Fiserv Trauma Rules, Fiserv Provisioning Plus, Angoss Knowledge Studio Workstation. Data visualization and report generation using SQL, SAS, Excel Pivots, Hive, Impala and Tableau. SQL techniques like Joins, Complex Query, Common Table Expression. Domain Knowledge of Credit Card Fraud Detection, Retail Credit Cards transactional processing, understanding of Financial Systems and Regulatory Knowledge. Problem Solving, Probability and statistics, Exploratory Data Analysis, Feature Engineering, Model Validation, Predictive analytics techniques like decision trees and logistic regression. Report migrations and SDLC (Software Development Life Cycle) methodologies. Applicants submit resumes at https://jobs.citi.com/. Please reference Job ID #25842226. EO Employer.
Wage Range: $151,300 to $172,300
Full timeWilmington Delaware United States
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Duties: Mitigate and reduce first-party fraud loss for Citi. Perform complete fraud analytics lifecycle, including loss tracking, building strategies to reduce losses, and implementing those strategies to mitigate risk for Citi. Develop Tableau dashboards to report incoming trends of first-party fraud and send out automatic emails if there is any breach in the metrics of losses. Develop strategies to reduce the incoming losses using machine learning algorithms and implement strategies in the platform. Develop and refresh multiple dashboards with a range of uses including loss and OD (overdraft) dashboards for senior leadership and planning, the rule performance dashboard currently undergoing a mass rule optimization exercise, the FICO DMP (Decision Management Platform) dashboard tracking application outcomes, and a deposit risk dashboard, among others. Analyze deposit risk, first-party fraud, transactional fraud, and digital transactions. Complete model governance processes with minimal direction, helping improve Retail Bank's adherence to Model Risk Management. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite in accordance with Citi policies and protocols.
Requirements: Bachelor’s degree, or foreign equivalent, in Statistics, Mathematics, Physics, Economics, or a related field, and three (3) years of experience in the job offered or in a related quantitative occupation performing fraud loss analytics within the financial services industry. Three (3) years of experience must include: Demonstrating fraud subject matter expertise, including account opening/acquisitions, first-party fraud, money mule analytics, identity theft, and third-party fraud, and understanding of transactional behaviors, including card-based transactions, electronic transfers, and non-monetary transactions; Developing loss mitigation and impact reduction strategies, from trend recognition to strategy and profile variable development, to deploying these strategies in transactional and acquisition rules engines, including Actimize EFD and FICO Decision Modeler Platform; Building and productionalizing predictive models to predict transactional fraud using multiple methods including logistic regression and XGBoost and deploying those models in a transactional fraud engine; Executing model governance documentation including obtaining approved usage, closing limitations, and performing ongoing performance assessments for internal and vendor models; and Utilizing software and programming languages including Python, SAS, Tableau, and Microsoft Excel to analyze fraud and acquisitions data. 40 hrs./wk. Applicants submit resumes at . Please reference Job ID# 25851842. EO Employer.
Wage Range: $144,900.00 to $172,300.00
Full timeWilmington Delaware United States
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The Compliance Risk Management Senior Analyst is an intermediate level role responsible for standard change management discipline for Anti-Money Laundering work efforts, addressing key DCI initiatives and programs and/or process management, automation and simplification. This role involves working closely with the DCI stakeholders to deliver change and support the communication to internal stakeholders and external parties. The Senior Analyst will be responsible for managing change , automation, management and simplification of DCI processes on a day to day basis, consistent and timely reporting of the tasks’ execution as well as appropriate escalation of issues and risks.
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What we offer:
Working in an international environment in one of the greatest financial institutions worldwide
An enjoyable and challenging learning path, which leads to a deep understanding of Citi’s products and services
Competitive salary and social benefits (medical care, multisport, life insurance, award-winning pension plan, holiday allowance, hybrid work model, paternity/maternity scheme, award/recognition system, very lucrative employee referral program, and other).
Consideration for a yearly bonus
International projects in a culturally diverse and dynamic environment as well as learning top quality organizational culture.
A supportive workplace for professionals returning to the office from childcare leave
Abundance of internal job opportunities locally and globally
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VP Value Card Products - Finance Lead Analyst
*This role must report onsite to the office in Wilmington, DE three times per week. It cannot be done remotely or from another Citi location.
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Duties: Develop Comprehensive Capital Analysis and Review (CCAR) and Dodd-Frank Act Stress Test (DFAST), Current Expected Credit Losses, IFRS9, and other regulatory models for international unsecured portfolios including credit cards, installment loans, and ready credit. Develop complex statistical models and econometric models to meet regulatory requirements. Obtain and prepare model development data by assessing adequacy and relevancy of data, and process large amounts of data for exclusions and other treatments. Test model assumptions, and evaluate conceptual soundness and mathematical formulation of models. Determine the appropriate champion modeling methodology after evaluating multiple options. Develop quantitative models to estimate losses for regulatory and business requirements. Perform all required tests following validation requirement, including sensitivity analysis and back-testing. Validate and recalibrate all models post-production to incorporate latest data, and redevelop models as needed. Prepare responses and presentations to regulatory agencies on all models built. Collaborate with cross functional teams, including country/region business stakeholders, model validation and governance teams, and model implementation team. Create comprehensive model documentation to support model validation and ongoing monitoring. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols.
Requirements: Requires a Master’s degree, or foreign equivalent, in Statistics, Mathematics, Data Science, or related field and 1 year of experience as a Model/Analysis/Validation Intermediate Analyst, Risk Analyst, or related position assessing statistical and econometric models using macroeconomic concepts. Must have one year of experience with: Assessing adequacy and relevancy of modeling data and performing data cleaning and manipulation; Testing model assumptions, and evaluating conceptual soundness and mathematical formulation of models; Statistical methodologies including regression analysis, survival analysis, and decision tree; Credit risk assessment and model selection and the performance evaluation process; Using SAS, Python and SQL to read and manipulate data, build statistical models, perform statistical model testing, generate data summary; Using VBA in Excel to create macros and manipulate data; Regulatory requirements including Comprehensive Capital Analysis and Review (CCAR) and Dodd-Frank Act Stress Test (DFAST), Current Expected Credit Losses (CECL), and IFRS9; and Risk analytics for finance products to analyze risk trends and identify key risk drivers. Applicants submit resumes at https://jobs.citi.com/. Please reference Job ID #25847717. EO Employer.
Wage Range: $110,700 to $133,347.90
Full timeWilmington Delaware United States
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