Fraud Analytics and Strategy Specialist

The Challenge:

Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection, to cancer research, to national intelligence — you know the answers are in the data.

We have an opportunity for you to use your leadership and analytical skills to improve the Fraud, Waste, and Abuse (FWA) analytics team. You’ll will leverage your knowledge of fraud identification techniques, artificial intelligence (AI) platforms, and data analytics to build creative solutions that help US government clients proactively prevent, detect, and resolve known and unknown cases of FWA. As a subject matter expert within data analytics, you will work with practice managers to create and tailor FWA analytic solutions for a variety of government clients within healthcare and financial services. You’ll help lead this development through analytics capture opportunities to provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in preventing Fraud Waste and Abuse in the US government and their clients. 

Empower change with us.

Build Your Career:

At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you can expect:

  • access to online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunk
  • a chance to change the world with the Data Science Bowl—the world’s premier data science for social good competition
  • participation in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government


You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications? Take advantage of our tuition assistance, onsite boot camps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want, as you chart your own course for success.

Basic Qualifications:

-5+ years of experience with financial services, infrastructure, healthcare, technology, consulting, risk management, analytics, strategy, or operations

-4+ years of experience with data analytics, including fundamental statistics concepts, such as regression, or variance, probability distributions, programming and data visualization tools, including Python, R, or Tableau, and algorithm and decision model development

-3+ years of experience with fraud case identification, examination, and management

-Experience with leading a team in a subject matter and mentor junior members in advanced data analytic theory and techniques

-Experience with developing compelling and polished written, visual presentations, and analytical materials, including reports, memos, decks, and models for executive audiences in the firm and for clients

-Experience with creating business capture intellectual property, including RFPs, RFIs, and sales pitches

-Ability to scope and prioritize activities independently, execute tasks, and manage staff with minimal direct oversight

-Ability to obtain a security clearance

-BA or BS degree

Additional Qualifications:

-Knowledge of advance analytics techniques, including machine learning, Bayesian statistics, or clustering

-Ability to work well in a team-oriented and dynamic office environment

-MA or MS degree in a related field

-Certified Fraud Examiner (CFE), Certified AML and Fraud Professional (CAFP), Certified Insurance Fraud Investigator (CIFI), or Certified Analytics Professional (CAP) Certification

Clearance:  

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristic—to fearlessly drive change.

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