Senior Consultant, Financial Systems Engineering

FI Consulting

$90K — $130K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Math, Computer Science, Finance, or related field
  • 5-10 years of experience in software development, quantitative finance, or technical consulting
  • Strong programming skills in Python, R, SQL, Java
  • Experience leading technical workstreams and team development
  • Familiarity with cloud platforms, preferably AWS
  • Experience working with complex datasets
  • Consulting skills in problem-solving, communication, and stakeholder management

Responsibilities

  • Design and build financial models and analytical tools
  • Translate client problems into structured models or systems
  • Build and maintain data pipelines and cloud-based systems
  • Develop automation scripts or systems to streamline workflows
  • Leverage AI to enhance the quality of deliverables
  • Communicate complex findings to diverse stakeholders
  • Lead project teams to effectively deliver solutions
  • Manage delivery through Agile methodologies

Benefits

  • Opportunity to lead teams on impactful projects
  • Engagement in multifaceted roles at the intersection of analytics, consulting, and development
  • Work with advanced technologies, including AI solutions
  • Collaborate directly with clients and stakeholders
  • Access to a network of professionals in finance, AI, and software development
Full Job Description
FI Consulting is seeking a highly motivated Senior Consultant who combines software engineering, data analytics, finance, and AI-enabled problem solving to build impactful solutions for complex client challenges. This person will lead teams to design, develop, and deploy solutions that drive measurable outcomes, operating at the intersection of consulting, development, and advanced analytics, and working directly with clients and stakeholders.

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
  • Lead teams to successfully deliver project solutions
  • Manage Agile delivery (design, coding, testing, CI/CD, deployment)

Required Qualifications
  • Bachelor's degree in Math, Computer Science, Finance, or related field
  • 5-10 years of experience software development, quantitative finance, or technical consulting
  • Strong programming skills in Python, R, SQL, Java, etc.
  • Experience leading technical workstreams, including solution design and team development
  • Experience 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
  • Experience in consulting

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.

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