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Open nowPosted 10 days ago

Data Analyst - Forensics, Technology, Investigations & Discovery

BRG128 open roles

Pay
$90,000 – $150,000 a year
Where
New York NY
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Your applicationOpen nowData Analyst - Forensics, Technology, Investigations & DiscoveryBRG · New York NY

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on BRG's own form.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. BRG postings stay open a median of 35 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 10 days ago

BRG median: 35 days open

The posting

We Do Consulting Differently

With a team of industry specialists and experts in forensic accounting and global investigations, discovery and forensic technology, M&A and private equity disputes, and cybersecurity and investigations, BRG's Disputes & Investigations practice is a leader in the areas that can impact business most significantly.

BRG was ranked as a "Top Economics Consultancy" by Global Competition Review for the eleventh consecutive year. We have also been recognized among Consulting Magazine's "Best Firms to Work For" for the fourth consecutive year.

Our FTID (Forensics, Technology, Investigations & Discovery) practice is rapidly growing, and we are seeking a Senior Associate who can demonstrate a thorough level of knowledge and/or a proven record of success as an individual contributor or team leader involving fraud risk, fraud prevention and detection, and/or data analytics, preferably within a global network of professional services firms in the following areas:

  • Leveraging thorough knowledge of SQL, Python or R, data science skills, supervised and unsupervised machine learning, and social network analysis;
  • Demonstrating considerable experience with big data tools such as Hadoop and PySpark, cloud computing, and cloud machine learning tools;
  • Knowledge of the anti-fraud business domain in the e-commerce, payments, healthcare, and banking industries;
  • Demonstrating considerable ability to develop fraud detection rules and/or models deployed in systems such as Actimize, FICO Falcon, SAS Fraud Management, or other platforms;
  • Leveraging considerable experience with data visualization tools such as Tableau, Spotfire, or QlikView; and
  • Evaluating new tools and products that enhance risk detection and prevention.

The ideal candidate will also demonstrate a thorough level of ability with, and/or a proven record of success in, identifying and addressing client needs by:

  • Applying considerable knowledge of the subject matter to the development and prioritization of anti-fraud strategies, analytics, models, and operations;
  • Managing engagement teams and competing priorities in a rapidly growing, cross-functional, fast-paced, interactive, results-based team environment;
  • Communicating with business, risk, compliance, operations, technology, and analytics stakeholders on client engagements;
  • Fostering positive working relationships with clients and working effectively with client management and staff at all levels to gather information and perform services;
  • Using presentation materials to convey complex ideas to clients and internal staff;
  • Managing engagements, including preparing concise and accurate documents and maintaining project economics while remaining flexible for unanticipated issues;
  • Providing candid, meaningful feedback in a timely manner; and
  • Keeping leadership informed of progress and issues, answering questions, and providing direction to more junior staff.

Basic Qualifications

  • Bachelor's degree in Management Information Systems (MIS), Engineering, Accounting, Computer and Information Science, Mathematics, Finance, Economics, Statistics, Data Processing/Analytics/Science; and
  • Minimum of three (3) years of professional experience working in regulatory investigations, internal investigations, and compliance remediation work.

Preferred Qualifications

  • Database and programming certifications such as Oracle, Microsoft SQL Server, Azure Fundamentals, Certified Associate in Python Programming, Certified Kubernetes Administrator, Sun Certified Java Programmer, Microsoft Certified: DevOps Engineer Expert, Azure AI Engineer Associate; CPA; and/or PMI. Certified Fraud Examiner (CFE) is a plus.

Depending on qualifications and experience, job title may be Senior Associate or Consultant.

Candidate must be able to submit verification of his/her legal right to work in the U.S., without company sponsorship.

Salary Range: $90,000 – $150,000 per year

About BRG

BRG combines world-leading academic credentials with world-tested business expertise and purpose-built emerging technologies. Our culture centers on agility and connectivity which sets us apart and gets you ahead.

At BRG, our professionals include specialist consultants, industry experts, renowned academics, and leading-edge data scientists. Together, they bring a diversity of real-world experience, data, and human and artificial intelligence, to economics, disputes, and investigations; corporate finance; and performance improvement services that address the most complex challenges facing organizations across the globe.

Our unique structure nurtures the interdisciplinary relationships that give us the edge, laying the groundwork for more informed insights and more original, incisive thinking. When paired with our global reach and resources, our diverse perspectives and technical capabilities make us uniquely capable to address our clients’ challenges. We get results because we know how to apply our thinking to your world.

At BRG, we don’t just show you what’s possible. We’re built to help you make it happen.

BRG is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, religion, color, sex, gender, national origin, age, United States military veteran status, ancestry, sexual orientation, marital status, family structure, medical condition including genetic characteristics or information, veteran status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law.

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