Credit Risk Administrator Jobs

Citibank, N.A. seeks a Project Management Lead for its Irving, Texas location. Duties: Manage end-to-end delivery of wholesale credit risk and climate risk initiatives, overseeing projects lifecycle from requirements intake through execution and implementation. Define and monitor project milestones, dependencies to ensure timely project delivery and resolution of emerging risks or constraints. Partner with model developers in order to streamline, consolidate and redevelop wholesale credit risk models. Support model validation, audit readiness and project success by maintaining comprehensive documentation, remediation trackers, and evidence repositories. Coordinate with technology partners to optimize model integration, leading efforts to embed Comprehensive Capital Analysis and Review (CCAR) and International Financial Reporting Standard 9 (IFRS9) models into the library system. 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 Finance, Business Analytics, or related field and 4 years of experience as a Project Manager, Financial Analyst, Accountant, or related position involving treasury and balance-sheet risk assessment, wholesale credit risk management and financial audit management. 4 years of experience must include: Risk management processes and frameworks in order to measure financial exposures under stress scenarios in model development; Understanding of control framework and regulatory expectations for model documentation, validation and periodic review; Project management including project structuring, development of timeline, implementation phases planning, resources allocation, identification of dependencies and bottlenecks, and escalation of issues; Data analysis and data quality assurance, including cleanliness of the data, completeness and accuracy, while ad

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Are you looking to be part of a technology team beyond the ordinary? A place full of exciting challenges and the engineers up to solving them? Then welcome to Financial Engineering! This is the place where the models become software, where many of the numbers that drive our business decisions are produced. Our systems are used for interest rate and credit risk management, investment analysis and trading, security issuance, automated loan underwriting, distressed loan decisions, economic and regulatory capital, property valuation, financial reporting, economic and GAAP forecasting, and more! Our Impact: Model Application Development team is responsible for converting models to application software. We evaluate millions of loans per day using the latest ML algorithms. We turn ML algorithms to APIs using web services. We are responsible for implementing underwriting, servicing and loss mitigation models Your Impact : Automating and deploying Financial Models developed using ML algorithms. Maintaining underwriting models, credit data processing. Deploying model configuration with market and economic data for loss mitigation models. Providing APIs to Financial Models to integrate with IT applications. Performance tuning and stress testing Models. Participating in model tie outs. Identifying and resolving any issues in reconciling with model results. Fixing software security vulnerabilities identified in SAST and FOSS scanning. Code review and guiding junior level developers. <u

The Banker is a senior-level position responsible for assisting clients in raising funds in the capital markets, as well as in providing strategic advisory services for mergers, acquisitions and other types of financial transactions in coordination with the Institutional Banking team. The Banker also serves as an intermediary in trading for clients. The overall objective of this role is to act as strategic advisor to our clients by formulating investment strategies and raising capital for clients. Responsibilities: Lead in the origination, structuring, and execution of transactions and financings and foster and leverage ongoing global relationships inside and outside of the organization Manage credit risk of the client portfolio and allocate capital prudently through partnership with senior credit officers and capital management Provide a wide range of treasury and corporate finance solutions including cash management, trade, vendor finance, FX, general credit, loans, debt capital markets, structured finance, share repurchase, and interest rate and equity derivatives for a selected client portfolio Provide sophisticated financial solutions tailored to clients’ needs and act as a content provider on industry and market trends Meet revenue and other financial goals by leveraging Citi’s full spectrum of Institutional Client Groups (ICG) products and services and ensure solutions meet or exceed internal risk, return and compliance requirements, ethical standards, and anticipated future changes in the marketplace Partner with ICG partners to execute episodic transactions and drive client planning by delivering product agnostic solutions, client access, and effective capital allocation Recruit and develop diverse talent for the Corporate Bank and serve as a mentor to junior bankers Appropriately assess risk when business decisions are made, demonstrating particular consideration

Job Title Cash Accountant - North America Job Description Cash Accountant - North America As a Cash Accountant you will support with unapplied cash reconciliations, refunds and other general ledger reconciliation activities Your role: Daily reconciliation of the prepayment cash general ledger with large transaction volume and Accounts Receivable customer accounts. Coordinating with financial business partners, collections, cash applications and Record to Report Development opportunities within Accounts Receivable/Credit & Collections process improvement by identifying root cause problems, processes gaps, and provide continuous improvements solutions. Responsible for handling refund processes through data compilation, approval request and return process to client. You're the right fit if: High School Diploma, Vocational Education/Bachelor's Degree in Finance, Accounting, Economics, Data Analysis or equivalent. You have 2&#43; years of experience in Credit Risk Management, Accounts Receivable, Collections or equivalent with Vocational Education OR no prior experience with Bachelor's Degree. You are knowledgeable in SAP, Excel (Pivot Tables, Data visualization and manipulation). Preferrable knowledge in AI systems such as Copilot, Chat GPT or other. You are a highly responsible, customer service-oriented individual who excels in teamwork, demonstrates strong interpersonal relationships, exhibits initiative, and is a fast learner. You are able to efficiently communicate in the English languate. May be required to work overtime and/or during Panamanian holidays, based on business &/or departmental needs. How we work together We believe that we are better together than apart. For our office-based teams, this means worki

The Banker is a senior-level position responsible for assisting clients in raising funds in the capital markets, as well as in providing strategic advisory services for mergers, acquisitions and other types of financial transactions in coordination with the Institutional Banking team. The Banker also serves as an intermediary in trading for clients. The overall objective of this role is to act as strategic advisor to our clients by formulating investment strategies and raising capital for clients. Responsibilities: Lead in the origination, structuring, and execution of transactions and financings and foster and leverage ongoing global relationships inside and outside of the organization Manage credit risk of the client portfolio and allocate capital prudently through partnership with senior credit officers and capital management Provide a wide range of treasury and corporate finance solutions including cash management, trade, vendor finance, FX, general credit, loans, debt capital markets, structured finance, share repurchase, and interest rate and equity derivatives for a selected client portfolio Provide sophisticated financial solutions tailored to clients’ needs and act as a content provider on industry and market trends Meet revenue and other financial goals by leveraging Citi’s full spectrum of Institutional Client Groups (ICG) products and services and ensure solutions meet or exceed internal risk, return and compliance requirements, ethical standards, and anticipated future changes in the marketplace Partner with ICG partners to execute episodic transactions and drive client planning by delivering product agnostic solutions, client access, and effective capital allocation Recruit and develop diverse talent for the Corporate Bank and serve as a mentor to junior bankers Appropriately assess risk when business decisions are made, demonstrating particular consideration

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Engineer II Overview: Mastercard’s Enterprise Credit Risk (ECR) team is seeking a Data Engineer II to design, build, and maintain data platforms and products that support credit decisioning, risk analytics, regulatory reporting, and machine learning initiatives. In this role, you will work with large and complex datasets to develop scalable, reliable, and high-quality data solutions. You will collaborate with engineers, data scientists, risk analytics, and product partners to translate business needs into effective data products and pipelines. This is an opportunity for an engineer to deepen their data engineering expertise while contributing to modern cloud-based platforms and ECR's ongoing data modernization efforts. This is a hybrid role based in O’Fallon, MO, requiring three days per week onsite. Role: • Design, develop, test, and maintain scalable data pipelines, transformations, and datasets supporting ECR products and initiatives. • Build and optimize ETL/ELT workflows using technologies such as SQL, Python, Databricks, and Spark. • Develop and maintain curated data products that support reporting, analytics, credit decisioning, and other business use cases. • Partner with Product, Risk Analytics, Data Science, and Engineering teams to understand requirements and translate them into ef

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Freddie Mac’s Single Family Division is currently seeking an analytical and curious model developer who has strong business knowledge in credit risk, preferably collateral. This Quantitative Analytics Tech Lead position will include collateral model development, analysis and support potentially including some ad hoc analysis and data work in addition to developing new models and methods of evaluating collateral. Our Impact: We are responsible for developing Single Family collateral models that streamline the loan origination process while improving our credit risk exposure. Your Impact: Developing analytical methods and models that assess the collateral value and risk of Single Family properties. Providing resolutions to an extensive range of complicated problems; solutions are innovative, thorough, and practicable Providing modeling and analytical support to a line of business or product area Working under limited direction, independently determining and developing approach to solutions. Qualifications: PhD in economics, finance, statistics, or related quantitative discipline with 3&#43; years' experience, or Master’s with 5&#43; years relevant experience. Business experience will be weighted more than academic degrees. Demonstrated expertise in credit risk modeling (preferable collateral modeling), with experience working with model users to understand the model and develop new modeling and analytics methods and ideas. Proficiency in o

About the opportunity We are seeking an experienced Lead Technical Product Manager for our Machine Learning Platform within the Intelligent Operations Platforms segment. In this role, you will define the long term vision, platform architecture, and execution strategy for core Machine Learning infrastructure across N26. Your work will enable squads across the bank to automate risk assessments, prevent financial crime, and scale operational efficiency. Our ML Platforms team serves as the central nervous system for real-time, data-driven decisioning. We build and scale horizontal ML capabilities that allow critical functions including Financial Crime, Credit Risk, and Core Operations to execute with absolute precision at scale. As a Lead Product Manager, you will drive multi-squad strategy, transforming complex predictive models into resilient, compliant, sub-second scoring systems. In this role, you will Drive the Core ML Platform Vision: Define and execute the multi-year roadmap for the central Machine Learning platform, ensuring alignment with broader engineering architecture and executive business goals. Lead High-Volume ML Portfolios: Oversee complex predictive ML capabilities supporting high-throughput banking systems, focusing on real-time transaction monitoring, automated credit risk scoring, and operational workflow decisioning. Scale Enterprise MLOps Infrastructure: Own the platform tooling and standards across the full ML lifecycle. Drive strategic decisions around feature stores, real-time feature extraction pipelines, model registries, automated retraining triggers, and CI/CD for ML. Establish Model Evaluation and Governance: Define robust offline and online model evaluation frameworks, shadow deployment mechanics such as champion and challenger testing, and real-time monitoring for model drift, inference latency, and data quality degradation. Bridge Technical Leadership and Compliance: Partner closely with Principal Data Scientists, ML Engineers, Security

About the opportunity We are seeking an experienced Lead Technical Product Manager for our Machine Learning Platform within the Intelligent Operations Platforms segment. In this role, you will define the long term vision, platform architecture, and execution strategy for core Machine Learning infrastructure across N26. Your work will enable squads across the bank to automate risk assessments, prevent financial crime, and scale operational efficiency. Our ML Platforms team serves as the central nervous system for real-time, data-driven decisioning. We build and scale horizontal ML capabilities that allow critical functions including Financial Crime, Credit Risk, and Core Operations to execute with absolute precision at scale. As a Lead Product Manager, you will drive multi-squad strategy, transforming complex predictive models into resilient, compliant, sub-second scoring systems. In this role, you will Drive the Core ML Platform Vision: Define and execute the multi-year roadmap for the central Machine Learning platform, ensuring alignment with broader engineering architecture and executive business goals. Lead High-Volume ML Portfolios: Oversee complex predictive ML capabilities supporting high-throughput banking systems, focusing on real-time transaction monitoring, automated credit risk scoring, and operational workflow decisioning. Scale Enterprise MLOps Infrastructure: Own the platform tooling and standards across the full ML lifecycle. Drive strategic decisions around feature stores, real-time feature extraction pipelines, model registries, automated retraining triggers, and CI/CD for ML. Establish Model Evaluation and Governance: Define robust offline and online model evaluation frameworks, shadow deployment mechanics such as champion and challenger testing, and real-time monitoring for model drift, inference latency, and data quality degradation. Bridge Technical Leadership and Compliance: Partner closely with Principal Data Scientists, ML Engineers, Security

Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Quantitative Analytics and Modeling Consultant Senior Validator within PNC's Model Risk Management organization, you can be based in Pittsburgh, PA / New York City / Tysons Corner, VA. We are seeking a Senior Validator to join PNC’s Model Risk Management team within Independent Risk Management. As a senior validator, you will perform rigorous independent reviews of PNC’s Capital Markets models, including derivatives pricing models, Value-at-Risk (VaR) models, and counterparty credit risk models, such as Potential Future Exposure (PFE), Credit Valuation Adjustment (CVA), and Funding Valuation Adjustment (FVA), and related interest rate and term structure models used in pricing and risk measurement. Key Responsibilities: 1. Independent Model Review: Perform qualitative and quantitative assessments of all aspects of models including data quality and integrity, theoretical assumptions and methodologies, and performance testing; Specific respons

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Are you curious and analytical? Do you thrive on working in a team environment? Are you looking for an inclusive company culture? Freddie Mac’s Single-Family Credit Analytics, Reporting and Decision Strategy group needs creative, forward-thinking individuals like you! We want to hire individuals who seek out complex business problems and develop viable solutions. The Quantitative Analytics Professional position is responsible for ensuring the reasonableness and consistency of statistical models, analytics and methodologies used in decision making in the Single Family guarantee business. Our Impact: Our team serves as the business user for multiple very high- and high-risk models. Our goal is to leverage all available models and tools to facilitate and optimize credit risk management and decision strategies. Our team is responsible for forecasting SF credit losses and enhancing company decision-making with respect to loan acquisition. Your Impact: SF (Single Family) model enhancement - oversight, documentation, and testing of new modeling frameworks Model tracking reports - reviewing and ensuring reports to SF Acquisition division are concise, complete, and transparent Mortgage modeling expertise - understanding default and prepayment modeling frameworks and providing insights Data quality - understanding data relationships and ensuring accuracy Testing and governance - assisting with UAT and model governance processes Qualifications: <

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview Multifamily Capital Markets is seeking an exceptionally curious, analytical, and driven professional to help identify, prioritize, and deliver the initiatives that can most improve the business. This is a rare opportunity to develop a broad view across the Multifamily Capital Markets organization, including loan pricing, pipeline risk management, portfolio management, securitization, credit-risk transfer, operations, and technology. You will work directly with a Capital Markets leader who brings deep Multifamily expertise, extensive Wall Street markets and product experience, and a track record of developing innovative solutions to complex financial problems. Together, you will examine how the business operates, identify its highest-impact opportunities, challenge existing assumptions, and develop solutions from first principles. This is a hands-on role combining original problem-solving, quantitative analysis, and end-to-end initiative delivery. You will research unfamiliar topics; analyze financial, market, and operational data; build analytical models and lightweight Python prototypes; test hypotheses; frame business questions; and develop fact-based recommendations. You will write the memos and presentations that move decisions forward, document conclusions and requirements, coordinate contributors, maintain project plans and follow-ups, and drive multiple initiatives through organizational and technical roadblocks from initial idea through implementation. This role is designed for someone who enjoys learning unfamiliar topics, solving difficult problems, and taking ownership of outco

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview Multifamily Capital Markets is seeking an exceptionally curious, analytical, and driven professional to help identify, prioritize, and deliver the initiatives that can most improve the business. This is a rare opportunity to develop a broad view across the Multifamily Capital Markets organization, including loan pricing, pipeline risk management, portfolio management, securitization, credit-risk transfer, operations, and technology. You will work directly with a Capital Markets leader who brings deep Multifamily expertise, extensive Wall Street markets and product experience, and a track record of developing innovative solutions to complex financial problems. Together, you will examine how the business operates, identify its highest-impact opportunities, challenge existing assumptions, and develop solutions from first principles. This is a hands-on role combining original problem-solving, quantitative analysis, and end-to-end initiative delivery. You will research unfamiliar topics; analyze financial, market, and operational data; build analytical models and lightweight Python prototypes; test hypotheses; frame business questions; and develop fact-based recommendations. You will write the memos and presentations that move decisions forward, document conclusions and requirements, coordinate contributors, maintain project plans and follow-ups, and drive multiple initiatives through organizational and technical roadblocks from initial idea through implementation. The successful candidate will be expected to operate with substantial independence and combine analytical depth with exceptio

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Freddie Mac’s Investments & Capital Markets Division is seeking a Quantitative Analytics Senior to develop, implement, monitor, and execute quantitative models that support counterparty credit risk management, fixed-income derivatives valuation, and related business and risk management decisions. The candidate should be self-motivated, has a strong quantitative and computational background, and communicates effectively with technical and business stakeholders. As part of the Models & Analytics team, this role will primarily support Freddie Mac’s Counterparty Credit Risk Management and Asset-Liability Management functions, with responsibilities spanning model development, implementation, monitoring, data processes, documentation, and business user support. Our Impact: This role focuses on the design, development, implementation, and monitoring of quantitative models and analytics that support counterparty credit risk, exposure measurement, derivatives valuation, and related risk management activities. The models and analytics developed by the team provide key inputs into counterparty credit risk management, portfolio management, business reporting, and risk-informed decision-making across the division. Your Impact: • Develop, implement, and maintain quantitative models primarily for counterparty credit risk measurement, with additional coverage of interest rates, derivatives valuation, and valuation components related to mortgage products. • Implement models and analytics using programming languages and tools such as MATLAB,

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Freddie Mac’s Investments & Capital Markets Division is currently seeking a Quantitative Analytics Senior to be responsible for the creation, development, and execution of analytic models used to value Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) of various types of financial institutions. The candidate should be self-motivated, have a strong computational background, and effective communication skills. Under the Models & Analytics team, the candidate will support models primarily utilized by Freddie Mac’s Counterparty Credit Risk Management Team. The key focus is on credit risk scorecard modeling, but the tasks may also include LGD and EAD models. The position encourages continued learning and development across other modeling areas, including market risk capital, operational loss forecast, prepayment and default, and rates and derivatives . Our Impact: Key focus of this job is the design, development, and implementation of counterparty credit risk models for a variety of financial institutions, with primary focus on Probability of Default modeling. These models support multiple corporate and divisional objectives by providing key inputs into counterparty credit risk management, both at individual counterparty and portfolio levels. Y our Impact: Design, code and maintain consistent counterparty credit risk models (PD/LGD/EAD). These models must incorporate best practices while simultaneously accounting for the