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Ernst & Young

Global professional services: consulting, assurance, tax

Financial Services Technology Consulting - Financial Risk Technology, Frt, Engineering, Manager

Engineering LeadershipUpdated on Nov 14
Full-time$142.6k - $297.2kIn-person

About the Job

Requirements

  • Strong 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.
  • 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.
  • Experience with Insurance Risk Management, actuarial modeling platforms, reserving and capital models, solvency frameworks, risk aggregation and reporting, insurance data platforms, and reinsurance processing.
  • Experience with 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, and Basel frameworks.
  • Experience supporting one or more of CCAR, CECL, FRTB, Basel III / IV, XVA, Market Risk, Liquidity Risk, or Asset and Liability Management (ALM).
  • Knowledge of front-office trading, pricing, position management and pre-trade risk platforms; middle-office risk, controls, trade validation, valuation and P&L processes; and back-office confirmations, settlement, accounting, reconciliation and regulatory reporting.
  • Knowledge of Value at Risk (VaR), stress testing, sensitivities, market-risk analytics, XVA, clean P&L, hypothetical P&L, actual P&L, P&L attribution, and front-to-back modernization and integration.
  • Advanced or expert proficiency in Java; experience with Python and Scala and/or C++.
  • Experience with Spring Boot, REST APIs, object-oriented design, design patterns, multithreaded development and high-performance computing.
  • Experience with DAG-based workflow engines, distributed architectures and grid computing, parallel and large-scale batch processing, risk calculation platforms, event streaming, pub/sub architectures, and event-driven design patterns.
  • Experience with Apache Kafka, AWS MSK and/or Azure Event Hubs.
  • Experience with AWS ECS, EKS, Lambda, S3, DynamoDB, EC2, AWS Batch and CloudFormation; and Azure Kubernetes Service, Azure Event Hubs, Azure Data Lake and Azure Functions.
  • Experience with MongoDB, PostgreSQL, SQL Server and Oracle.
  • Experience with Apache Spark, Databricks, distributed data processing, data governance, data reconciliation and risk data warehousing.
  • Experience with Docker, Kubernetes, GitHub, CI/CD pipelines, Terraform and Infrastructure as Code.
  • At least 8 years of software engineering experience, including at least 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.
  • An undergraduate or graduate degree in computer science, engineering, mathematics, actuarial science, finance or a related field.

Responsibilities

  • 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.
  • 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.
  • 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.

Desired Qualifications

  • Knowledge of Capital Markets products and front-to-back trade lifecycle.
  • Experience with front-office trading systems, including pricing, positions and pre-trade risk.
  • Experience with distributed computing and high-performance processing architectures.
  • Advanced Java development experience, including multithreading and concurrency.
  • Experience with Databricks and/or Snowflake data platforms.
  • Experience with Redis and/or GridGain-style distributed caching solutions.
  • Experience with Agentic AI and risk automation.
  • Experience with Retrieval-Augmented Generation (RAG) architectures.
  • Experience with LangChain.
  • Experience with Model Context Protocol (MCP) frameworks.
  • Prior consulting experience.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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