Consultant Arlington, Virginia


For more than 20 years, financial institutions in the Federal, private and public sectors have called on FI Consulting to address complex and high-stakes analytical challenges that are closely scrutinized by executives, auditors, regulators and stakeholders. We help clients succeed by applying our core strengths in business applications of Data Management, Analytics, Modeling, and Business Architecture to gain insight, increase performance, manage risk, and improve operations.

FI Consulting is a fast-moving, high-growth firm with huge potential. FI offers variety, challenge, responsibility and the opportunity to realize your leadership potential.

FI’s Financial Data Modeling role encompasses the methodologies, tools, and approaches that transform client data into a valuable asset. The primary responsibility of this individual is to process and analyze data used in a variety of critical applications, e.g., acquisitions, loan origination, account maintenance, collections.


  • Analyzing and interpreting complex data sets in various software packages using statistical and financial techniques
  • Work closely with model owners, business lines, and risk managers to improve models and analytics through data
  • Collect data from various sources, perform analysis and interpret results to assist in making impactful business decisions
  • Assist in data strategy and governance, data quality, and data architecture and modeling projects
  • Secure and protect company and client data and information and prevent its improper disclosure.

Required qualifications:

  • BS/BA in STEM related degree
  • 5+ years of experience in capturing, manipulating, and analyzing large datasets
  • Knowledge of data structures, data warehouse concepts, and data modeling
  • Knowledge of methods for preparing data for statistical models and/or Machine Learning models
  • Experience developing and automating extraction, transform, and load (ETL) processes including using enterprise data integration tools
  • Experience using enterprise database platforms (Oracle, IBM, SAP HANA, SQL Server, PostgreSQL)
  • Experience writing SQL and programming knowledge in SAS, Python or R
  • Familiarity with data visualization tools and techniques
  • Experience in programming in a Unix environment
  • Ability to articulate highly technical information in a simple, concise, clear, and understandable manner

Preferred qualifications:

  • Advanced degree (Masters or PhD) in a Quantitative discipline such as Statistics, Mathematics, Operations Research, or Econometrics
  • Experience in the financial services industry, including credit risk, market risk, and fraud detection
  • Ability to source and manipulate data from cloud-based infrastructures (e.g., AWS, Azure, GCP, Snowflake, Data Bricks)
  • Familiarity with graph databases (RDF, property, and accompanying databases)
  • Prior consulting experience

Successful candidates will possess: 

  • Desire to deliver exceptional value to FI’s clients and teammates and take the necessary steps to enable their success
  • Proactive and innovative approaches to problem solving and solution development
  • Drive to always look for ways to improve processes
  • Reliability, trustworthiness, honesty, and commitment
  • Demonstrated ability to learn and apply new concepts quickly, and to take on a broad range of analytical and management tasks
  • Excellent communication, organizational, and technical writing skills
  • Ability to confidently interact with all levels of our clients’ organizations
  • Desire to work in a fast-paced and demanding environment

What it’s really like to work for us:

You will work with a team of smart, talented people in a culture that is simultaneously driven, collegial, and supportive. We set high expectations for employees in the areas of project delivery excellence, building trusted client relationships, and continuous improvement. We insist on teamwork and collaboration.

As part of our meritocratic culture, we strongly encourage each of our employees to remain committed to “stretching” the levels of their most current professional strengths to continuously adapt, grow and expand their subject matter expertise for the benefit of adding value to our clients. The emphasis on stretch starts at the very top of our organization and is promoted throughout to all members of our team. The desire of our employees to stretch is critical to effectively, and with greater flexibility, plan project assignments and subsequently position our people and the company for future success.

Who We Are:
 FI Consulting is a 70+ person professional services firm that helps government and commercial financial institutions solve hard problems in data, analytics, modeling, and technology. Our professionals are specialists with expertise across a range of fields, for example:  

  • Financial and economic modeling
  • Data analytics & visualization
  • Financial products and markets
  • Economics and statistics
  • Business process management and re-engineering

Our Company Values & Operates on:

  • A Commitment to Creating Value for our Clients and our Employees
  • A Flat Management Structure that is Still Led by one of the Original Founders
  • An Emphasis on Teamwork and Cooperation
  • Employee Development and Career Growth
  • Continuous Improvement
  • An Entrepreneurial Culture that Rewards Finding, Developing, and Owning Business

Security Requirements:

  • Authorized to work in the United States as a permanent resident or US Citizen. We are not able to sponsor or accept any VISA Holders at this time including OPT, H1B, EAD.
  • All job applicants will be required to successfully complete a background investigation, which will include a pre-employment drug screen and a credit check.
  • Secure and protect company and client data and information and prevent its improper disclosure.

FLSA Designation - This is an exempt position. FI Consulting is an Equal Opportunity Employer of Minorities, Females, Protected Veterans, and Individuals with Disabilities. FI Consulting participates in E-Verify.