Job Type
Full-Time Regular
Location
Remote


We are looking for a self-driven expert who is passionate about data analysis/exploration and analytical solution design, applying a variety of analytical techniques such as graph analysis, geospatial analysis, network visualization, and machine learning/Ai, and implementing them with our enterprise customers in the area of financial crime investigation. The Solution Consultant will be responsible for front- ending technical and analytical discussions and presentations with our firm's customers and help the sales team quickly close deals.


Compensation/Perks

  • Competitive Base + Strong Bonus
  • 401k
  • Excellent package
  • 100% Remote
  • Growth Opportunity



Responsibilities:
• Serve as a "Subject Matter Expert," adding interpretive value to data analysis.
• Support the pre-sales process by delivering custom demos and leading analytical efforts in proofs-of-concept.
• Anticipate client needs and formulate/design analytical solutions to the client issues.
• Support sales team with RFI/RFP responses and Statements of Work.
• Data analysis and exploration while implementing the solution.
• Work with system engineers to help identity, clean, and validate various data sets to ensure accuracy, completeness, and uniformity.
• Create evaluation metrics to highlight the performance and effectiveness of implemented solutions.
• Standardization and automation of designed analytical solutions/workflow.
• Propagate knowledge from implemented solutions by providing case studies and /or training for sales, system engineers, and partners.



Requirements:
• 5+ years of experience with data analysis, modeling, and data engineering.
• Experience as a financial crime specialist/investigator.
• Experience with presales/business analysis of analytical solutions,
• Knowledge from AML, Fraud, and finance sector.
• Demonstrate creativity in problem-solving.
• Strong communication skills, including written, verbal, and presentation.


Technical Knowledge Required (in one or more of the following)
• Experience working with analytics technologies and data visualization technologies (e.g. BI tools, Python, R, IBM/Harris i2, SPSS, SAS, ArcGIS etc.),
• Experience working with SQL is a plus,
• Practical experience with big data, machine learning and/or advanced analytics is a plus
• Knowledge of graph concepts (knowledge graph, link chart, graph algorithms) is a plus.