Location: New York, Charlotte, Atlanta

The opportunity:

Our Financial Services ("FSO") teams help clients address complex transformation priorities across Banking, Insurance and Capital Markets. This opportunity combines Insurance Risk, Credit Risk and Capital Markets technology expertise with modern engineering to deliver high-impact enterprise transformation programs.

Financial institutions are modernizing risk, finance and trading platforms to improve scalability, transparency, control and responsiveness. The role spans cloud-native risk platforms, analytical and model-execution engines, regulatory and actuarial processing, and front-to-back modernization across front-office, middle-office and back-office functions. Key capabilities include pricing and positions, pre-trade and counterparty risk, Value at Risk (VaR), stress testing, sensitivities, XVA, clean P&L, hypothetical P&L, actual P&L, P&L attribution, settlement, reconciliation and regulatory reporting.

As a Manager, you will lead solution architecture and engineering delivery, guide globally distributed teams, and work directly with business stakeholders, traders, risk leaders, actuaries, model developers, operations teams and technology executives. You will translate complex business, regulatory and analytical requirements into practical target-state architectures and production-grade solutions spanning trading, risk, finance and operations.

Your key responsibilities:

Risk Technology & Solution Architecture
• Lead the architecture, modernization and implementation of Insurance and Credit Risk platforms.
• Define target-state architectures and practical modernization roadmaps for risk and finance platforms.
• Lead front-to-back modernization of Capital Markets platforms across front-office trading and pricing, middle-office risk and controls, and back-office settlement, accounting and reconciliation.
• Own architecture for VaR, stress testing, sensitivities, XVA, counterparty risk, clean P&L, hypothetical P&L, actual P&L and P&L attribution capabilities.
• Own solution design across Credit Risk Management, CECL / IFRS 9, CCAR stress testing, Expected Credit Loss, portfolio analytics, capital and regulatory reporting, insurance modeling and reserving, and liquidity or balance-sheet risk.
• Collaborate with risk business teams to translate regulatory, actuarial and analytical requirements into scalable technical solutions.

Platform Engineering
• Design and build cloud-native platforms supporting large-scale model execution and risk calculations.
• Lead distributed computing, workflow orchestration and event-driven architecture initiatives.
• Drive performance optimization of analytical and risk-processing engines.
• Establish standards for resiliency, scalability, observability, security and operational excellence.

Data & Analytics
• Design enterprise data models supporting Insurance and Credit Risk calculations.
• Lead data integration frameworks across risk engines, data lakes and operational systems.
• Enable lineage, governance, auditability and reconciliation capabilities for risk data.

Leadership and Delivery
• Lead globally distributed engineering teams and coordinate delivery across architecture, development, data and platform workstreams.
• Mentor architects, developers and risk technology professionals.
• Drive technical governance, architecture reviews, engineering standards and delivery quality.
• Collaborate with client executives and senior stakeholders on technology strategy, delivery planning and risk management.

Skills and attributes for success:
• Strong combination of risk-domain knowledge, solution architecture and hands-on engineering expertise.
• Ability to lead complex workstreams, communicate trade-offs and influence senior business and technology stakeholders.
• Proven ability to structure ambiguous problems and convert them into executable roadmaps and delivery plans.
• Strong written and verbal communication, presentation, client service and technical writing skills.

Required domain expertise:

Insurance Risk
• Insurance Risk Management
• Actuarial Modeling Platforms
• Reserving and Capital Models
• Solvency Frameworks
• Risk Aggregation and Reporting
• Insurance Data Platforms
• Reinsurance Processing

Credit Risk
• CECL / IFRS 9
• Credit Portfolio Analytics
• Probability of Default (PD)
• Loss Given Default (LGD)
• Exposure at Default (EAD)
• Credit Stress Testing
• Regulatory Capital
• Counterparty Credit Risk
• Basel Frameworks

Financial Risk Programs

Experience supporting one or more of the following:
• CCAR
• CECL
• FRTB
• Basel III / IV
• XVA
• Market Risk
• Liquidity Risk
• Asset and Liability Management (ALM)

Capital Markets Technology
• Front-office trading, pricing, position management and pre-trade risk platforms
• Middle-office risk, controls, trade validation, valuation and P&L processes
• Back-office confirmations, settlement, accounting, reconciliation and regulatory reporting
• Value at Risk (VaR), stress testing, sensitivities and market-risk analytics
• XVA, including counterparty credit and funding valuation adjustments
• Clean P&L, hypothetical P&L, actual P&L and P&L attribution
• Front-to-back modernization and integration across trading, risk, finance and operations

Required technical skills:

Core Development
• Java (advanced or expert proficiency)
• Python
• Scala and/or C++
• Spring Boot and REST APIs
• Object-oriented design and design patterns
• Multithreaded development
• High-performance computing

Distributed Computing and Messaging
• DAG-based workflow engines
• Distributed architectures and grid computing
• Parallel and large-scale batch processing
• Risk calculation platforms
• Event streaming and pub/sub architectures
• Apache Kafka, AWS MSK and/or Azure Event Hubs
• Event-driven design patterns

Cloud Technologies
• AWS: ECS, EKS, Lambda, S3, DynamoDB, EC2, AWS Batch and CloudFormation
• Azure: Azure Kubernetes Service, Azure Event Hubs, Azure Data Lake and Azure Functions

Databases
• MongoDB
• PostgreSQL
• SQL Server
• Oracle

Data & Analytics
• Apache Spark
• Databricks
• Distributed data processing
• Data governance
• Data reconciliation
• Risk data warehousing

DevOps
• Docker
• Kubernetes
• GitHub
• CI/CD pipelines
• Terraform
• Infrastructure as Code

Preferred skills and experience:
• Capital Markets products and front-to-back trade lifecycle knowledge
• Front-office trading systems, including pricing, positions and pre-trade risk
• Distributed computing and high-performance processing architectures
• Advanced Java development, including multithreading and concurrency
• Databricks and/or Snowflake data platforms
• Redis and/or GridGain-style distributed caching solutions

Good-to-have skills:
• Agentic AI and risk automation
• Retrieval-Augmented Generation (RAG) architectures
• LangChain
• Model Context Protocol (MCP) frameworks

Ideal candidates for this role will have the following skills and attributes:
• 8+ years of software engineering experience, including 5+ years designing or delivering risk technology solutions.
• Proven delivery experience in Insurance, Banking or Capital Markets.
• Strong understanding of Credit Risk, Insurance Risk and applicable regulatory frameworks.
• Experience building cloud-native risk platforms at enterprise scale.
• Demonstrated experience leading architecture and engineering teams while engaging effectively with business stakeholders and executives.
• Experience leading distributed teams and complex technology delivery across multiple workstreams.
• Undergraduate or graduate degree in computer science, engineering, mathematics, actuarial science, finance or a related field.
• Prior consulting experience is preferred.

What we offer you
At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers.

• We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job is:
• • New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices - $171,200 to $285,300
  • Bay Area California offices - $178,400 to $297,200
  • All other offices locations in the US, including Sacramento - $142,600 to $261,500
• Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
• Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

Are you ready to shape your future with confidence? Apply today.

• To make the most of your application experience, please limit yourself to two applications within a six-month period.
• EY accepts applications for this position on an on-going basis.
• For those living in California, please click here for additional information.
• At EY, our values set the foundation for how we work and the behaviors we expect of our people. Any misrepresentation or falsification of information or lack of integrity at any point in the recruiting process may result in withdrawal of your candidacy, revocation of an offer or immediate termination of employment.