Consultant, Financial Systems Engineering
Responsibilities- Design and build financial models, analytical tools, or technical solutions
- Translate client problems into structured models or systems
- Build and maintain data pipelines, APIs, and cloud-based systems (AWS or similar)
- Develop software, scripts, or systems to automate workflows
- Use AI to improve speed and quality of deliverable
- Communicate findings to both technical and non-technical stakeholders
- Collaborate with teams and stakeholders to successfully deliver project solutions
- Participate in Agile delivery (design, coding, testing, CI/CD, deployment)
Required Qualifications- Bachelor's degree in Math, Computer Science, Finance, or related field
- 2-5 years of experience in software development, quantitative finance, or technical consulting
- Strong programming skills in Python, R, SQL, Java, etc.
- Familiarity with cloud platforms (AWS preferred)
- Experience working with complex datasets
- Consulting skills including problem-solving, communication, stakeholder management
Preferred Qualifications- Experience building end-to-end systems or applications
- Exposure to full-stack development or system architecture
- Experience in banking, finance, housing, real estate or capital markets
Ideal Candidate Profile- Leadership and ownership of specific outcomes
- Learn and apply new technologies quickly
- Proactively identify opportunities to improve processes and efficiency
- Shows intellectual curiosity and initiative beyond formal requirements
- Passion for using AI to accomplish all of the above
Additional requirements:- Authorized to work in the United States as a US Citizen. We are not able to accept permanent resident or sponsor or accept any VISA Holders at this time including OPT, H1B, EAD
- Successfully pass a background investigation and drug screening
- Reside in the DC Metro area within 30 days of hire
FLSA Designation
- This is an exempt position.
AI plays only a supporting role in our recruitment process. All decisions are made by human members of our talent acquisition team.
