Financial Services Technology Consulting, Financial Risk Technology (FRT) Engineering - Senior
Ernst and Young2 months ago
Base Salary
$103k - $213k/yr
Responsibilities
- Design, develop, and modernize insurance risk, credit risk, capital markets, finance, and trading platforms.
- Translate business, regulatory, actuarial, and analytical requirements into technical designs and implementation tasks.
- Build cloud-native services, distributed processing solutions, workflow orchestration, event-driven integrations, and risk calculation components.
- Develop data models, data pipelines, and integration services across risk engines, data lakes, and operational systems.
- Implement controls for data lineage, governance, auditability, data quality, and reconciliation.
- Optimize application and data-processing performance and apply standards for resiliency, scalability, observability, security, and supportability.
- Deliver software through design, development, unit testing, code review, documentation, defect resolution, and production-readiness activities.
- Collaborate with architecture, development, data, testing, platform engineering, business, trading, risk, actuarial, and operations teams.
- Participate in solution reviews, design reviews, sprint planning, estimation, and technical knowledge sharing.
Requirements
- 5+ years of software engineering experience, including 3+ years contributing to risk, finance, insurance, or analytical technology solutions.
- Experience delivering solutions in insurance, banking, or capital markets and working knowledge of credit risk, insurance risk, or regulatory risk frameworks.
- Advanced or expert Java proficiency and working knowledge of Python; Scala or C++ exposure is beneficial.
- Experience with cloud-native applications, distributed processing, high-performance computing, data platforms, automated testing, CI/CD, source control, and modern software delivery practices.
- Knowledge of insurance risk, actuarial modeling, reserving, credit risk, capital markets, trading, pricing, positions, pre-trade risk, settlement, reconciliation, regulatory reporting, or related financial risk programs.
- Experience with AWS or Azure cloud services, distributed architectures, event streaming, databases, data analytics platforms, containers, Kubernetes, and infrastructure as code.
- Capital markets product and front-to-back trade lifecycle knowledge, Databricks or Snowflake, and Redis or GridGain-style distributed caching are preferred.
- Agentic AI, retrieval-augmented generation, LangChain, and Model Context Protocol experience are good-to-have qualifications.
- Undergraduate or graduate degree in computer science, engineering, mathematics, actuarial science, finance, or a related field.
- Prior consulting experience is preferred.
Benefits
- Medical and dental coverage, pension, and 401(k) plans.
- Flexible vacation policy and a wide range of paid time off options.
- EY paid holidays, winter and summer breaks, personal and family care leave, and other leaves of absence.
- Locations include New York, Charlotte, and Atlanta, with compensation ranges varying by US office location.
- Applications are accepted on an ongoing basis, with a limit of two applications within a six-month period.
Tech Stack
Amazon DynamoDBApache SparkAWSAzureC++DatabricksDockerJavaKubernetesMicrosoft SQL ServerMongoDBPostgreSQLPythonRedisScalaSnowflakeSpring BootTerraform
Categories
BackendData Engineering
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.