Senior Risk Consultant Jobs in New York

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 supports 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 Senior Technology Consultant, you will be a hands-on member of the engineering team, working with architects, managers, business stakeholders, traders, risk teams, actuaries, model developers and operations teams. You will translate functional and analytical requirements into reliable software components, data pipelines, cloud services and integration solutions across trading, risk, finance and operations.

Your key responsibilities:

Risk Technology & Solution Architecture

• Contribute to the design, development and modernization of Insurance and Credit Risk platforms.

• Translate business, regulatory, actuarial and analytical requirements into technical designs and implementation tasks.

• Develop components for front-to-back Capital Markets modernization across front-office trading and pricing, middle-office risk and controls, and back-office settlement, accounting and reconciliation.

• Implement and enhance capabilities supporting VaR, stress testing, sensitivities, XVA, counterparty risk, clean P&L, hypothetical P&L, actual P&L and P&L attribution.

• Build components supporting Credit Risk Management, CECL / IFRS 9, CCAR stress testing, Expected Credit Loss, portfolio analytics, regulatory reporting, insurance modeling and reserving, and liquidity or balance-sheet risk.

• Participate in solution reviews and recommend improvements for maintainability, performance and scalability.

Platform Engineering

• Develop cloud-native services supporting model execution, analytical workloads and risk calculations.

• Implement distributed processing, workflow orchestration and event-driven integration patterns.

• Optimize application and data-processing performance through profiling, testing and engineering improvements.

• Apply platform standards for resiliency, scalability, observability, security and supportability.

Data & Analytics

• Develop and maintain data models supporting Insurance and Credit Risk calculations.

• Build data pipelines and integration services across risk engines, data lakes and operational systems.

• Implement controls supporting lineage, governance, auditability, data quality and reconciliation.

Engineering Delivery and Collaboration

• Deliver high-quality software through design, development, unit testing, code review and technical documentation.

• Collaborate effectively with onshore and offshore teams across architecture, development, data, testing and platform engineering.

• Participate in design reviews, sprint planning, estimation, defect resolution and production-readiness activities.

• Share technical knowledge and provide guidance to junior engineers when appropriate.

Skills and attributes for success:

• Strong software-engineering fundamentals with the ability to understand risk-domain requirements.

• Ability to solve technical problems, communicate design choices and work effectively in multidisciplinary teams.

• Commitment to engineering quality, automated testing, documentation and continuous improvement.

• Strong written and verbal communication 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:

• 5+ years of software engineering experience, including 3+ years contributing to risk, finance, insurance or analytical technology solutions.

• Delivery experience in Insurance, Banking or Capital Markets.

• Working knowledge of Credit Risk, Insurance Risk or regulatory risk frameworks.

• Hands-on experience developing cloud-native applications, distributed processing solutions or data platforms.

• Proficiency in Java and working knowledge of Python; exposure to Scala or C++ is beneficial.

• Experience with automated testing, CI/CD, source control and modern software-delivery practices.

• 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 – $122,900 to $204,900
  • Bay Area California offices – $128,100 to $213,400
  • All other offices locations in the US, including Sacramento – $102,500 to $187,900
• 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.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

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