Berkeley Research Group

Data Analyst - Forensics, Technology, Investigations & Discovery

Berkeley Research Group$90K — $150K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in MIS, Engineering, Accounting, Computer Science, Mathematics, Finance, Economics, or related field.
  • Minimum of 3 years in regulatory investigations, internal investigations, and compliance remediation.
  • Proficiency in SQL, Python, or R, with skills in data science and machine learning.
  • Experience with big data tools like Hadoop and PySpark, and cloud computing.
  • Familiarity with fraud detection systems such as Actimize, FICO Falcon, or SAS Fraud Management.

Responsibilities

  • Lead fraud risk analysis and prevention initiatives.
  • Develop and implement fraud detection models and rules.
  • Manage engagement teams and prioritize multiple projects efficiently.
  • Communicate effectively with stakeholders across various departments.
  • Build relationships with clients and gather necessary information for services.
  • Create and present complex information clearly to clients and teams.
  • Maintain project economics while adapting to unforeseen challenges.

Benefits

  • Access to advanced data tools and technology.
  • Opportunities for continuous learning and professional development.
  • Engagement in a collaborative, results-driven team environment.
  • Flexible work arrangements to accommodate project needs.
Full Job Description


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

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