Credit Risk Oversight Manager Jobs

Role Overview The Techno-Functional SME Consultant for Finastra Loan IQ is responsible for the stable operation, functional integrity and continuous improvement of the bank’s commercial-lending platform. The role combines deep lending-domain knowledge with hands-on application-support capability to ensure that loan transactions are configured, processed, serviced, accounted for and supported accurately throughout their lifecycle. Operating at the intersection of Loan Operations, Credit, Finance, Risk and IT, the consultant owns functional analysis and coordinates technical resolution across Loan IQ, interfaces and downstream systems. The role supports production operations, incidents, problems, changes, releases, controls and sustainable remediation of recurring service issues. Key Responsibilities Application operations: Manage Loan IQ application health, critical business events, interfaces, batch processes and operational queues. Ensure timely completion of daily processing and proactive management of service risks. Incident resolution: Lead functional and technical analysis of production incidents; reproduce issues, assess business impact, identify controlled workarounds, coordinate recovery and restore service within agreed priorities. Problem management: Perform root-cause analysis for recurring defects, transaction failures, schedule inconsistencies, accounting breaks and interface errors. Drive permanent fixes and preventive controls. Functional analysis: Translate lending-business issues into clear functional requirements, impact assessments, solution options, test scenarios and acceptance criteria. Technical troubleshooting: Analyse Loan IQ configuration, application logs, database evidence, interfaces, messages and job failures in collaboration with technical teams and within controlled production-support practices. Integration management: Support integrations with origination, payment, core banking, general ledger, data, risk, regulatory-reporting, docum

Role Overview The Techno-Functional SME Consultant for Finastra Loan IQ is responsible for the stable operation, functional integrity and continuous improvement of the bank’s commercial-lending platform. The role combines deep lending-domain knowledge with hands-on application-support capability to ensure that loan transactions are configured, processed, serviced, accounted for and supported accurately throughout their lifecycle. Operating at the intersection of Loan Operations, Credit, Finance, Risk and IT, the consultant owns functional analysis and coordinates technical resolution across Loan IQ, interfaces and downstream systems. The role supports production operations, incidents, problems, changes, releases, controls and sustainable remediation of recurring service issues. Key Responsibilities Application operations: Manage Loan IQ application health, critical business events, interfaces, batch processes and operational queues. Ensure timely completion of daily processing and proactive management of service risks. Incident resolution: Lead functional and technical analysis of production incidents; reproduce issues, assess business impact, identify controlled workarounds, coordinate recovery and restore service within agreed priorities. Problem management: Perform root-cause analysis for recurring defects, transaction failures, schedule inconsistencies, accounting breaks and interface errors. Drive permanent fixes and preventive controls. Functional analysis: Translate lending-business issues into clear functional requirements, impact assessments, solution options, test scenarios and acceptance criteria. Technical troubleshooting: Analyse Loan IQ configuration, application logs, database evidence, interfaces, messages and job failures in collaboration with technical teams and within controlled production-support practices. Integration management: Support integrations with origination, payment, core banking, general ledger, data, risk, regulatory-reporting, docum

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. KEY RESPONSIBILITIES Shape and execute region-specific growth strategy across BFSI segments (banks, NBFCs, insurance, corporates) Drive a consultative, solution-led sales approach (ratings, risk, analytics, research, advisory) Own top-line growth, margins, and regional business sustainability Identify cross-sell and up-sell opportunities across product lines Manage and deepen relationships with CXOs, CFOs, Treasurers, and Risk Heads Anchor large, strategic mandates and long-term engagements Build regional market intelligence and identify emerging opportunities Position the organization as a trusted knowledge/advisory partner Lead and mentor a high-caliber sales team across locations Drive performance culture, governance, and pipeline discipline Work closely with analytical, product, compliance, and delivery teams to ensure high-quality client outcomes KEY REQUIREMENTS 12–20 years of experience in BFSI / financial services / ratings / risk / advisory sales Strong exposure to institutional selling and strategic account management Deep understanding of credit, risk, capital markets, or financial analytics Proven track record of managing large regional portfolios and complex deals Strong CXO connects within BFSI ecosystem. All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Engineering team The Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering. About the role The Trust and Safety Foundations team within Checkout Engineering builds and operates foundational systems and data capabilities that support how Affirm understands consumer risk and meets its credit reporting obligations. Our work sits at the intersection of data quality, system reliability, regulatory requirements, and risk, creating critical infrastructure that Affirm and its partners depend on to operate accurately and at scale. As a Staff Software Engineer on Trust and Safety Foundations, you will help shape the team’s technical strategy and lead complex, business-critical initiatives across systems and stakeholders. You’ll turn ambiguous problems into clear technical approaches, guide projects from strategy through execution, and strengthen the reliability and sustainability of the systems we own. You’ll also act as a force multiplier by raising the bar for system design and engineering quality, sharing your expertise, and helping other engineers grow. This role requires strong technical judgment, deep ownership, and the ability to navigate complexity in a high-impact domain. . What you’ll do You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. You will collaborate across teams in the product developm

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Engineering team The Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering. About the role The Trust and Safety Foundations team within Checkout Engineering builds and operates foundational systems and data capabilities that support how Affirm understands consumer risk and meets its credit reporting obligations. Our work sits at the intersection of data quality, system reliability, regulatory requirements, and risk, creating critical infrastructure that Affirm and its partners depend on to operate accurately and at scale. As a Staff Software Engineer on Trust and Safety Foundations, you will help shape the team’s technical strategy and lead complex, business-critical initiatives across systems and stakeholders. You’ll turn ambiguous problems into clear technical approaches, guide projects from strategy through execution, and strengthen the reliability and sustainability of the systems we own. You’ll also act as a force multiplier by raising the bar for system design and engineering quality, sharing your expertise, and helping other engineers grow. This role requires strong technical judgment, deep ownership, and the ability to navigate complexity in a high-impact domain. . What you’ll do You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. You will collaborate across teams in the product developm

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role The Applied Science team builds models and tools that solve Ramp’s most critical problems: from underwriting businesses to combatting fraud to making spend management smarter. We’re deeply embedded in the business and provide a quantitative foundation for decision making. As an Applied Science intern, you’ll be a fully integrated member of the team and own your project from start to finish. Working with engineers, product managers, and business stakeholders, you’ll translate complex business needs into scalable machine-learning-driven solutions. This is a chance to apply ML concretely, ship code, and create genuine value for Ramp and our customers. You will focus on exciting problems in areas like: credit, fraud, growth, or our core product. What You’ll Do End-to-End ML : own the model lifecycle from data exploration and feature engineering to training, benchmarking, deployment, and monitoring State-of-the-Art AI : leverage the latest Large Language Models (LLMs) to solve novel problems and create new product capabilities for our cust

Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments. Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years. We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others. We're a team of 170+ across 26 states and 7 countries, headquartered in New York City. Lithic's Treasury Operations team owns the movement of money across our card issuing infrastructure — network settlement, sponsor bank transfers, and the reconciliation that keeps it all provable. This is a hands-on, high-ownership role for someone who wants to learn the inner workings of payments and fintech infrastructure, not just observe them from a reporting layer. You'll be running a critical, time-sensitive engine every day — and at the same time, working alongside the Head of Treasury Operations to improve how that engine works as the function scales. You’ll also work cross-functionally across a wide range of teams (Finance, Treasury Engineering, Risk, Analytics, Processing, Customer Success, Bank Operations) — this role sits at the center of a lot of different workflows, not off in a silo. What you'll do: Execution (50%) Own day-to-day execution of network settlement transfers (Mastercard, Visa) and related treasury transfers across sponsor banks Operate in a time-sensitive environment where errors or

Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments. Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years. We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others. We're a team of 170+ across 26 states and 7 countries, headquartered in New York City. We are hiring a Senior Software Engineer for Lithic’s Card Authorization team, which owns the real-time systems that make every card authorization decision correct, reliable, and fast. The team also owns related fraud tooling, including Lithic’s Rules Engine and 3D Secure integration. You’ll own high-impact projects end-to-end, solve distributed-systems problems at scale, and help build the tools customers use to control fraud and payment risk. What you'll do: Write reliable, secure, scalable code for Lithic’s real-time authorization and fraud-prevention systems with minimal tech debt Build customer-facing features, such as rules improvements, velocity controls, 3DS flows, fraud tooling, and transaction monitoring. Own projects from planning to launch. Improve the reliability of systems in team’s scope and participate in the team on-call rotation Lead efforts to improve systems and processes within the team What you'll bring: 4+ years building production backend systems. Full stack experience is a plus. Experie

与邓白氏一起塑造未来 "在邓白氏，我们相信数据能够创造更美好的未来。作为全球最具影响力的商业信息服务机构之一，我们帮助全球企业实现增长、管理风险并推动创新。自1841年以来，企业一直信任我们能将不确定性转化为机遇。我们是一支多元化的全球团队，致力于推动创新与协作，勇于探索前沿理念。你准备好发挥影响力、共同塑造未来了吗？加入我们吧！请访问 dnb.com/careers 探索更多机会。" 职位描述 【职位描述】 PURPOSE OF THE JOB(required for supervisory/managerial job): Summarize why this job exists and the contribution it makes to the overall business of the company As a Senior Consultant, you will be responsible for delivering customer-facing data analytics and consulting projects across commercial credit, risk & compliance, supplier evaluation, customer intelligence, and related business scenarios. By leveraging data analysis, modelling, and business insights, you will help clients identify risks, optimize decision-making, and improve business performance. This role works closely with clients, Product Sales, and Solution Consulting teams to transform data into actionable business value. 高级顾问负责商业信用、风险合规、供应商评价、客户洞察等领域的数据分析与咨询项目交付。通过数据分析、模型构建及业务洞察，帮助客户识别风险、优化决策并提升经营绩效。该岗位需与客户、销售及解决方案团队紧密协作，将数据能力转化为可落地的商业价值。 PRINCIPAL ACCOUNTABILITIES: Describe the major activities of the job, emphasizing the end results which must be achieved (suggest listing from the most important task) · Serve as the subject matter expert for data analytics and modelling workstreams within client projects, ensuring high-quality delivery of analytical outputs and business insights. 作为项目中的数据分析与建模专家，负责相关工作模块的方案设计、分析实施及成果交付，确保分析结果能够有效支撑客户业务决策。 · Work closely with clients to understand business objectives and translate business challenges into analytical frameworks and data-driven solutions. 深入理解客户业务需求，将业务问题转化为分析框架和数据驱动解决方案。 · Perform data extraction, cleansing, validation, integration, and analysis from multiple internal and external data sources. 完成多来源数据的提取、清洗、整合、验证及分析工作。 · Develop analytical models including credit assessment models, risk scoring models, customer segmentatio

About the Job: As the Associate Collections Specialist, you will ensure that invoices are accepted by the customers, invoice disputes are resolved in a timely manner, payments are received on time, and be responsible for cash applications and reconciliations. You will have excellent attention to detail, solve problems, and be able to organize and prioritize multiple tasks. Responsibilities: Collections Manage an assigned book of customer accounts, monitoring aging reports and proactively following up on past-due invoices via phone and email. Prioritize and manage multiple accounts and competing deadlines independently, escalating high-risk or complex accounts as needed. Build and maintain a track record of improving collections performance, including reducing days sales outstanding (DSO) and aged receivables. Negotiate payment timelines or arrangements with customers when needed, balancing timely recovery with a positive customer experience. Cash Application & Reconciliation Apply incoming customer payments (checks, ACH, wire, credit card) to the correct invoices and accounts in NetSuite. Perform regular cash and account reconciliations to ensure payments, credits, and adjustments are accurately reflected. Research and resolve unapplied cash, short payments, and payment discrepancies in a timely manner. Customer Issue Resolution Serve as the primary point of contact for assigned customers on billing and payment questions, working to resolve disputes and discrepancies efficiently. Partner with Sales, Customer Success, and Billing teams to investigate and resolve issues affecting timely payment. Work with AWS Support to resolve AWS Billing issues Maintain clear, accurate, and up-to-date records of collection activity, customer communications, and account status. Reporting & Process Improvement Prepare regular aging and collections status reports for management. Identify recurring issues or bottlenecks in the collections process and recommend improvements. Supp

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the leader of our new Hedge Funds sales team within Enterprise FSI, you will build and lead the team that brings transformational AI to the world’s leading hedge funds - multi-strategy platforms, quantitative and systematic firms, discretionary long/short equity, global macro, and credit funds. These are some of the most technically sophisticated and competitive organizations in financial services, rethinking how they generate ideas, conduct research, build and test strategies, manage risk, and run their operations - and they’re looking for a partner they trust to take frontier AI from promising experiments into production at the core of their investment process. You’ll own a focused portfolio of top-tier funds at very different stages of AI adoption, from firms already running Claude across research and engineering to those just beginning their journey. You will lead Enterprise and Strategic Account Executives, design the coverage and territory model, and build the repeatable, hedge-fund-specific plays that turn early wins into durable, scaled adoption. The selling is technical and multi-stakeholder - platform decisions, protection of proprietary strategies and data, security and compliance rigor, and solutions built on Claude through our API, Claude for Enterprise, Claude Code, and partner cloud platforms. Buyers move fast, decision-making is concentrated among a small group of senior leaders, and you’ll shape strategy and operating rhythm while staying personally engaged with founders, CIOs, CTOs, and heads of research on the pursuits that matter most. This is a rare opportunity to build a team from the ground up,

Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments. Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years. We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others. We're a team of 170+ across 26 states and 7 countries, headquartered in New York City. Lithic is hiring for Business Operations, Program Management: a generalist role dedicated to the Program Management (PM) business line, where Lithic owns the bank relationship, handles compliance, and runs the client's card program end to end. We're expanding Program Management this year, and this person will build and run how it operates day to day, meaning the processes, reporting, and coordination across teams that today happen informally. This is a chance to build real depth in how sponsor bank partnerships and card programs work, in payments and fintech more broadly, while working directly with the Head of Program Management. What you'll do: Own how PM operates day to day, meaning the process, tooling, and reporting that let the business actually be run and measured Take on cross-functional projects that touch Risk, Compliance, Bank Operations, Legal, Sales, and Product, and see them through to a result, not just a status update Assist in building and launching new PM initiatives from concept to completion

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. On the Underwriting ML team, you’ll build and improve machine learning systems that make real-time transaction decisions, assessing the repayment risk and expected value of every Affirm checkout. You’ll work closely with experienced ML engineers, platform partners, and cross-functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring as user behavior and macroeconomic conditions evolve. What you’ll do - You will develop and iterate on underwriting prediction models using a mix of approaches for tabular and sequential data - You will build and scale feature pipelines and training datasets from proprietary and third-party signals, partnering with data and platform teams when needed. - You will prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls. - You will help productionize models: integrate into batch and/or real-time decision systems, and improve reliability, latency, and operational robustness. - You will instrument and monitor model and data health, and help define retraining/backtesting workflows - You will collaborate across Engineering, Risk Analytics, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences. What we look for - You have a total of 2+ years of experience as a machine learning engineer or a PhD in a relevant field. - Strong Python skills and experience writing production-quality code. - Experience building and evalua

About the role Chime’s Lending org builds the products and platforms that give members access to fair, transparent credit and liquidity when they need it most, from Earned Wage Access through MyPay, to flexible overdraft with SpotMe, to longer-term Instant Loans, and the platforms that power credit decisions, funding, repayments, and servicing behind the scenes. We operate some of Chime’s most consequential systems. Our teams build real-time money movement and decisioning infrastructure at scale, including underwriting and eligibility, ledgering and reconciliation, capital markets workflows, repayment systems, and financial transactions that must be correct, resilient, and auditable. As a Software Engineer in Lending, you’ll work at the seam between member-facing products and the platforms that make them possible. This is a role for engineers who want to own more than a single service or feature area. You’ll lead technical initiatives that cut across products, platforms, and partner teams, helping shape how Lending evolves as a system, not just how one team ships. You’ll design and build backend systems where correctness, reliability, speed, and operational rigor matter deeply. You’ll partner closely with Product, Design, Risk, Data Science, Analytics, Finance, and Operations to turn ambiguous opportunities into durable solutions, influence technical direction across team boundaries, and help raise the bar for how Lending engineers build together. Why join Lending? Work on systems that matter The products and platforms we build directly impact millions of members and sit at the center of Chime’s mission to help everyday people unlock financial progress. The problems are complex, the stakes are real, and the work matters. Own a bigger surface area This role is designed for engineers who want broader scope. You won’t be limited to a narrow feature lane. You’ll work across product experiences and shared infrastructure, helping connect strategy, systems, and execution a

About the role Chime’s Lending org builds the products and platforms that give members access to fair, transparent credit and liquidity when they need it most, from Earned Wage Access through MyPay, to flexible overdraft with SpotMe, to longer-term Instant Loans, and the platforms that power credit decisions, funding, repayments, and servicing behind the scenes. We operate some of Chime’s most consequential systems. Our teams build real-time money movement and decisioning infrastructure at scale, including underwriting and eligibility, ledgering and reconciliation, capital markets workflows, repayment systems, and financial transactions that must be correct, resilient, and auditable. As a Senior Software Engineer in Lending, you’ll work at the seam between member-facing products and the platforms that make them possible. This is a role for engineers who want to own more than a single service or feature area. You’ll lead technical initiatives that cut across products, platforms, and partner teams, helping shape how Lending evolves as a system, not just how one team ships. You’ll design and build backend systems where correctness, reliability, speed, and operational rigor matter deeply. You’ll partner closely with Product, Design, Risk, Data Science, Analytics, Finance, and Operations to turn ambiguous opportunities into durable solutions, influence technical direction across team boundaries, and help raise the bar for how Lending engineers build together. Why join Lending? Work on systems that matter The products and platforms we build directly impact millions of members and sit at the center of Chime’s mission to help everyday people unlock financial progress. The problems are complex, the stakes are real, and the work matters. Own a bigger surface area This role is designed for engineers who want broader scope. You won’t be limited to a narrow feature lane. You’ll work across product experiences and shared infrastructure, helping connect strategy, systems, and exec