Pay
In line with similar jobs
$90K–$150K against $118K–$193K, the middle half of what similar US postings state.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Data Analyst - Forensics, Technology, Investigations & Discovery
Reads like a Data Scientist role: models and experiments.
New York, NY
Open 3 months, first seen by us 101 days ago- Pay
$90,000–150,000/year — pay source
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
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- Work authorization
- No visa sponsorship
What you’ll work on
Full postingDevelop fraud detection rules and models deployed in systems like Actimize or FICO Falcon
Develop and prioritize anti-fraud strategies, analytics, models and operations
Manage engagement teams, budgets and deadlines on client projects
Present complex findings to clients and internal staff
Provide feedback and direction to more junior staff
From the employer’s posting
Demonstrating considerable ability to develop fraud detection rules and/or models deployed in systems such as Actimize, FICO Falcon, SAS Fraud Management
Applying considerable knowledge of the subject matter to the development and prioritization of anti-fraud strategies, analytics, models, and operations
Managing engagements, including preparing concise and accurate documents and maintaining project economics
Using presentation materials to convey complex ideas to clients and internal staff
providing direction to more junior staff
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in Management Information Systems (MIS), Engineering, Accounting, Computer and Information Science, Mathematics, Finance, Economics, Statistics, Data Processing/Analytics/Science; and
Qualification wording
Bachelor's degree in Management Information Systems (MIS), Engineering, Accounting, Computer and Information Science, Mathematics, Finance, Economics, Statistics, Data Processing/Analytics/Science; and
About Thinkbrg
BRG combines world-leading academic credentials with world-tested business expertise and purpose-built emerging technologies.
In the employer’s words · Read in context
Posting record
Report an errorOpen 3 monthsWe first saw this posting 101 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 26, 2026101 days ago
- Recorded sightings
- 64
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 101
Up longer than most. Similar jobs usually come down between day 7 and day 55.
From 10,000 similar postings that came down. Coming down is not always a hire.
Thinkbrg is hiring
8 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Java
- Python
- R
- SAS
- SQL
- Azure
- Hadoop
- Kubernetes
- Oracle
- SQL Server
- Tableau
- PySpark
Where the posting names them
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.
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
- 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.
Your next step
Complete your application on thinkbrg.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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
- Location & working pattern
New York, NY
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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