Top 39 Financial engineering Jobs in Washington, Dc

AI Engineer – Financial Services Hybrid
RiskSpan —Washington, DC
- Hybrid work
- SQL
- US work authorization
- Senior level
4d
Financial System Developer (Software Engineering, Associate)
The MIL Corporation —Washington, DC
- $114,000 - $132,000 a year
- 7 years
- Azure
- Computer Science
- Health insurance
- Tuition reimbursement
Financial Accounting and Data Engineering SME
KAIROS Inc —Arlington, VA
- $160,000 - $230,000 a year
- Full-time
- Microsoft Excel
- Customer service
- Master's degree
- Paid parental leave
- Health savings account
Quick Apply
Financial Systems Consultant
AvantGarde, LLC —Washington, DC
- Full-time
- 7 years
- Research
- Mid-level
Quick Apply
Sr. Analyst, Financial Applications Business Support
Marriott International, Inc —Bethesda, MD
- $83,500 - $129,200 a year
- Full-time
- Office
- Finance
- Analysis skills
- Commuter assistance
- Paid parental leave
Senior Analyst, Technology - Technology – Workday Finance
Financial Industry Regulatory Authority, Inc. —Rockville, MD
- $97,700 - $202,500 a year
- Extended hours
- Hybrid work
- Computer Science
- Research
- Finance
- Paid jury duty
- Commuter assistance
Quick Apply
5d
Financial Systems Analyst
SOSi —Reston, VA
- $70,562 - $145,553 a year
- Weekends as needed
- Hybrid work
- Microsoft Excel
- Office
- SQL
Quick Apply
12d
Financial Systems Manager
CloudHQ LLC —Washington, DC
- Full-time
- 6 years
- CPA
- Finance
- Paid holidays
- Health insurance
Quick Apply
Workday Finance Business Analyst
Unity Technologies SF —Washington, DC
- $91,700 - $137,500 a year
- Full-time
- English
- Mid-level
- Analysis skills
- Disability insurance
- Employee assistance program
6d
Senior Python Developer (Financial Industry)
NovaGigs —McLean, VA
- Full-time
- Computer science
- Computer Science
- Mid-level
ORACLE EBS FINANCE (TECHNICAL) DEVELOPER
Donan Consulting —Washington, DC
- System design
- Finance
- Bachelor's degree
Quick Apply
Robotics Process Automation (RPA) Developer (Financial Operations)
Redhawk Administrative Services, LLC —Falls Church, VA
- Full-time
- Background check
- Computer science
- Computer Science
Senior Financial Officer - National Academy of Engineering
The National Academies —Washington, DC
- $101,130 - $158,015 a year
- Full-time
- CPA
- Office
- 8 years
- Paid holidays
- Disability insurance
SAP Financial Systems Configurator
Intellyk INC —Silver Spring, MD
- Contract
- Mid-level
- Office
Quick Apply
Finance Manager, Process Engineering
Amazon.com Services LLC —Arlington, VA
- $95,400 - $163,200 a year
- Full-time
- Microsoft Access
- CPA
- 5 years
- AD&D insurance
- Health insurance
5d
Customer Engineer, Advanced Customer Engineering, Global Financial Services
Amazon Web Services, Inc. —Arlington, VA
- $144,500 - $195,400 a year
- Full-time
- Customer service
- Java
- Bachelor's degree
- AD&D insurance
- Health insurance
Python Developer/Financial Engineer
NovaGigs —McLean, VA
- Computer Science
- Mid-level
- Java
Senior Java Developer (Financial Industry)
NovaGigs —McLean, VA
- Computer science
- Computer Science
- Mid-level
Workday Adaptive Planning & FP&A Analyst
X energy LLC —Rockville, MD
- $100,000 - $125,000 a year
- Full-time
- Remote
- Mid-level
- 3 years
- SQL
- Disability insurance
- Health insurance
Mgr - Financial Systems
COPT Defense Properties —Columbia, MD
- $125,000 - $150,000 a year
- Microsoft Outlook
- CPA
- ERP systems
- Dental insurance
- Vision insurance

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financial engineering jobs near washington, dc

AI Engineer – Financial Services Hybrid

RiskSpan -
Washington, DC

Apply Now

Job Details

4 days ago

Qualifications

AI models
Systems integration
Data storage
Data Integration (Data management)
Amazon Simple Notification Service (SNS)
Amazon ECS
AI platforms (beyond public GPTs)
Machine learning projects
Prompt engineering
SQL
Production systems
Model deployment
Enterprise Integration
Cloud Native Design
S3
Amazon Simple Queue Service
Cloud solution engineering
Query management
Python
AWS Lambda

Full Job Description

AI Engineer – Financial Services Remote / Hybrid

About RiskSpan

RiskSpan is a leading source of analytics, modeling, data, and risk management solutions for the Consumer and Institutional Finance industries. We serve banks, issuers of mortgage- and asset-backed securities, asset managers, servicers, and regulators with cutting-edge technology and deep domain expertise across credit, market, and operational risk.

Position Overview We are seeking a hands-on AI Engineer to design, build, and deploy production-grade AI applications using AWS Bedrock, RAG architectures, and agent-based workflows. This role focuses on building real-world AI systems- chatbots, data analysis agents, and workflow automation solutions, integrating enterprise data and delivering scalable, reliable applications in AWS. The ideal candidate brings strong Python skills, cloud-native engineering experience, and a track record of shipping production AI systems end-to-end.

Key Responsibilities

Design, build, and deploy AI-powered applications including chatbots, knowledge assistants, and workflow automation agents.
Implement end-to-end solutions covering data ingestion, transformation, prompt orchestration, model interaction, and cloud deployment.
Integrate AI systems with internal APIs, enterprise platforms, and data pipelines.
Design agent workflows with tool/function calling, branching logic, retries, and fallback handling.
Implement human-in-the-loop and approval-based workflows for regulated financial use cases.
Build multi-agent systems for validation, refinement, and complex task decomposition.
Design and implement RAG pipelines covering chunking, embeddings, retrieval, and grounding.
Work with structured and unstructured data using SQL, S3, and data pipeline tools.
Leverage AWS services (S3, Glue, Redshift, Lambda, ECS, Step Functions, SQS/SNS) for storage, transformation, and orchestration.
Monitor and improve AI systems for accuracy, latency, cost, and reliability.
Implement structured output validation, schema enforcement, and guardrails.
Evaluate model performance and iteratively improve grounding and output consistency.

Required Qualifications

Strong experience building AI applications using LLMs (e.g., AWS Bedrock or equivalent platforms).
Hands-on experience with RAG architectures and retrieval pipelines.
Experience with vector databases, embeddings, and semantic search.
Demonstrated track record deploying production AI systems end-to-end — not just prototypes.
Solid Python programming skills (required).
Experience with core AWS services: Lambda, ECS, S3, Step Functions, SQS/SNS.
Strong SQL skills for querying and integrating structured data.
Experience integrating AI systems with APIs, databases, and cloud services.
Understanding of prompt engineering, tool/function calling, and structured outputs.
Strong problem-solving skills for building reliable systems around probabilistic AI behavior.

Preferred Qualifications

Experience with AWS Bedrock AgentCore or similar agent orchestration frameworks.
Experience building multi-agent systems or advanced agent workflows.
Experience with AWS Glue, Redshift, EMR, or broader data engineering pipelines.
Experience with LLM evaluation frameworks and automated testing.
Knowledge of schema validation, guardrails, and output control techniques.
Experience with CI/CD, containerization, and infrastructure as code.
Background in financial services, regulated environments, or GSE/enterprise data platforms.

Why RiskSpan? Join a team that combines deep industry expertise with cutting-edge analytics and AI to solve our clients’ most complex challenges. At RiskSpan, we foster innovation, collaboration, and continuous growth.

Equal Opportunity Employer RiskSpan is proud to be an Equal Opportunity/Affirmative Action employer committed to hiring a diverse workforce and sustaining an inclusive culture. Qualified candidates must be legally authorized to work in the United States on an unrestricted basis.

Apply Now

Refine Your Search

financial engineering jobs in washington, dc

AI Engineer – Financial Services Hybrid

Financial System Developer (Software Engineering, Associate)

Financial Accounting and Data Engineering SME

Financial Systems Consultant

Sr. Analyst, Financial Applications Business Support

Senior Analyst, Technology - Technology – Workday Finance

Financial Systems Analyst

Financial Systems Manager

Workday Finance Business Analyst

Senior Python Developer (Financial Industry)

ORACLE EBS FINANCE (TECHNICAL) DEVELOPER

Robotics Process Automation (RPA) Developer (Financial Operations)

Senior Financial Officer - National Academy of Engineering

SAP Financial Systems Configurator

Finance Manager, Process Engineering

Customer Engineer, Advanced Customer Engineering, Global Financial Services

Python Developer/Financial Engineer

Senior Java Developer (Financial Industry)

Workday Adaptive Planning & FP&A Analyst

Mgr - Financial Systems

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