Financial Services Technology Consulting, Financial Risk Technology (FRT) Engineering - Manager
Ernst & Young
Financial Services Technology Consulting, Financial Risk Technology (FRT) Engineering - Manager
Location: New York
Other locations: Anywhere in Region
Date: Sep 28, 2026
Requisition ID: 1746700
Location: New York, Charlotte, Atlanta
At EY, we're all in to shape your future with confidence.
We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
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.
- 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
- Reserving and Capital Models
- Risk Aggregation and Reporting
- Reinsurance Processing
Credit Risk
- Probability of Default (PD)
- Loss Given Default (LGD)
- Credit Stress Testing
Financial Risk Programs
Experience supporting one or more of the following:
- 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)
- 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
- Event streaming and pub/sub architectures
- Apache Kafka, AWS MSK and/or Azure Event Hubs
- AWS: ECS, EKS, Lambda, S3, DynamoDB, EC2, AWS Batch and CloudFormation
Databases
Data & Analytics
DevOps
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
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