Current Positions

Manager – Fraud Analytics (Multiple Openings)

In the right hands (yours!) and handled strategically, the massive amounts of information our clients collect today can become their most valuable new asset. And the ability to gain actionable insights from that data is critical to produce tangible results. If you are passionate about helping clients make faster, smarter decisions to tackle their most complex business issues, we want to meet you.


Our client, a global professional services firm, actively recruiting a Manager with Analytics experience in the field of fraud across industries, including Financial Services, Communications/Media & Technology, Health & Public Services, Resources, and Products to support the growth of our global fraud analytics practice.   The Manager will be a key member of the growing global Fraud Analytics business, playing a critical role in helping to further build our clients Analytics practice, with specific focus on the delivery of fraud analytics services and business development across a range of industries.

This position will be responsible for helping to architect, sell and deliver complex and innovative fraud analytics engagements.  In addition, the position will support the sales analytics offering leads in the development of relevant offering strategies, assets, capabilities and resources.

  • Contribute to Offering and Image Development in an effort to help take capabilities to the market, position against client problems, and feed industry issues and business needs into the offering development
  • Assume a client-facing role that interprets and translates client requirements into workable solutions that deliver business benefits
  • Capture business requirements and help shape the data, technology, process and people capabilities required to sustain analytics offerings
  • Identify, develop and enhance opportunities for additional client value creation, sales and client relationships
  • Partner with client teams to understand business problems, develop client proposals and technical approach documents
  • Help identify, develop and manage relationships withkey analytics partners and ensure all engagements identify and deliver maximum value for clients
  • Lead large-scale fraud analytics engagements and interpret analytical insights to clients in a business context that drives value
  • Support chief solution, technical and data architectswith smooth transition of analytic consulting engagements
  • Integrate and develop various advanced analytical methods to detect and prevent fraudulent behavior within client environments

 Basic Qualifications

  • Minimum 5 years of relevant management consulting analytics experience and/or industry/analytics practitioner experience.
  • Experienced in the application of fraud and risk analytics to solve complex, esoteric, and challenging business problems.
  • Proven track record of deploying systemic solutions into a business environment.
  • Exceptional interpersonal and presentation skills – ability to convey complex topics / concepts, technology, and business value propositions to senior stakeholders.
  • Minimum Bachelor degree (MBA/MS strongly preferred) in a quantitative discipline, (e.g. Economics, Statistics, Operations Research, Computer Science, Engineering, Computational Finance).

Preferred Skills

Engagement Delivery Skills:

  • Project Management skills – manages effectively day-to-day operations of multiple or large-scale analytics projects
  • Delivery Excellence and Quality Assurance skills – ensures quality of engagement deliverables, meeting / exceeding client expectations, while managing financial targets
  • Value Creation skills – manages development of the business case, acting as primary Value Architect for client and the company alike

Business Development Skills:

  • Proposal and value proposition development skills
  • Deal and engagement / solution shaping skills
  • Pricing, solution pursuit, and win strategy skills

Offering Skills:

  • Fraud Analytics domain expertise across a series of fraud typologies and industries
  • Capability in Data Science and Analytics Modeling skills; deep technical skills with ability to work with Analytics tools (e.g. SAS, Rev R, etc.)
  • Business Intelligence / Data Visualization skills, knowledge of BI tools, ability to interpret complex data sets and extract insight, excellent numerical aptitude
  • Understanding / experience with Data Discovery / “Big Data” technologies, tools and platforms
  • Programming skills and knowledge of analytical technology and statistical tools a plus (e.g. SAS, R, Python, SPSS, Alteryx, etc.)
  • Experience with / knowledge of fraud analytics vendor solutions / offerings
  • Ability to work around a dynamic business and travel schedule (up to 80% as necessary)