Advisory Associate, Forensic Technology - Summer 2027 (Atlanta, Boston, Chicago, New York, Greater Washington DC)
for headings. Use - for lists. Use
for prose.
Let's extract content.
Job Summary: The paragraph starting "Job Summary JOB DESCRIPTION An Associate in our Forensic Technology practice, begins to utilize their educational background..." We'll keep that as prose.
Responsibilities: The list under "Job Duties". It includes many bullet-like sentences. We'll turn each into
- .
List items:
- Provides data analytics services to a variety of clients, including outside counsel, regulators, and companies involved in litigation, investigation, dispute, regulatory, and compliance matters
- Contributes to forensic engagements related to fraud, anti-money laundering, insurance risks, foreign corrupt practices act (FCPA), disputes, and other matters
- Develops working relationships with internal and external stakeholders and communicates effectively
- Supports ETL processes by forensically extracting, cleaning, transforming, and analyzing data for in-depth data analytics for big datasets
- Performs analyses and takes ownership of assigned workstreams from data gathering through documentation and delivery
- Prepares high-quality, accurate client deliverables and insights
- Acts with professionalism and integrity when working with confidential and sensitive information
- Maintains a proactive and logical approach to information gathering, identifying potential issues and anomalies while presenting complex information clearly and effectively
- Identifies and researches new trends and tools and understands the data analytics marketplace while working on client engagements
- Develops expertise in technical programs (SQL, Power BI, Tableau, R, Python)
- Assists with developing documents, procedures, and solutions on non-billable practice development initiatives
- Works on international projects with potential domestic and/or international travel
- Audits own work product as well as other team members’ work to ensure quality
- Other duties as required
Also "Supervisory Responsibilities N/A" we can drop as filler.
Requirements/Education Qualifications: "Education Qualifications, Knowledge, Skills and Abilities: Bachelor’s degree, required; focus in Accounting, Analytics, Computer Science, Statistics, Finance, Economics, Engineering, or Information Systems, preferred Experience Leadership experience, preferred License/Certification N/A Software Understanding of relational databases, preferably SQL Server Experience with Python, R, and/or other programming languages or tools, preferred Experience with querying structured and unstructured data, cleaning and profiling datasets, building repeatable analytics, and visualizing results, preferred Experience with data visualization software (e.g. Tableau, PowerBI), preferred Familiarity with agentic AI tools and AI-driven workflow automation, preferred Proficient in Microsoft Office Suite, Word, Excel, and PowerPoint, preferred Languages Fluent in one (1) or more languages other than English, preferred Other Knowledge, Skills & Abilities Ability to work with a high degree of professionalism and autonomy Demonstrated curiosity and coachability, with a willingness to learn and develop skills in technical programs Excellent verbal and written communication skills, including notetaking and documentation of methods, procedures, and processes Ability to translate complex data into simple, concise business observations Strong organizational skills, with the ability to meet project deadlines and maintain close attention to detail Ability to work in a deadline-driven environment Ability to interact effectively with people at all organizational levels of the Firm Ability to work collaboratively with others while maintaining accountability for your work product"
We need to split into Requirements (education, experience) and Skills (technical). But we can also have a single Requirements section with sublists. However instruction says prefer few substantive sections over many thin ones. We could have Requirements (education, experience, certifications) and Skills (technical programs, languages, soft skills). But we need to avoid thin sections. Let's create:
- About the role (Job Summary) as
- Responsibilities as
- Requirements (Education & Experience) as maybe combine education and experience.
- Skills (Technical & Soft) as
- Pay (salary ranges) as maybe each state as - .
We must not repeat job title as heading.
Let's craft.
About the role: Use the Job Summary paragraph.
Responsibilities: list as above.
Requirements: Education: Bachelor’s degree required; focus in Accounting, Analytics, Computer Science, Statistics, Finance, Economics, Engineering, or Information Systems preferred. Experience: Leadership experience preferred. (License/Certification N/A we can drop). Also maybe include "Other Knowledge, Skills & Abilities" but those are more skills; we can put them in Skills.
Skills: Technical: Understanding of relational databases preferably SQL Server; Experience with Python, R, and/or other programming languages or tools; Experience with querying structured and unstructured data, cleaning and profiling datasets, building repeatable analytics, and visualizing results; Experience with data visualization software (e.g. Tableau, PowerBI); Familiarity with agentic AI tools and AI-driven workflow automation; Proficient in Microsoft Office Suite, Word, Excel, and PowerPoint; Languages: Fluent in one or more languages other than English preferred. Soft skills: Ability to work with a high degree of professionalism and autonomy; Demonstrated curiosity and coachability, with a willingness to learn and develop skills in technical programs; Excellent verbal and written communication skills, including notetaking and documentation of methods, procedures, and processes; Ability to translate complex data into simple, concise business observations; Strong organizational skills, with the ability to meet project deadlines and maintain close attention to detail; Ability to work in a deadline-driven environment; Ability to interact effectively with people at all organizational levels of the Firm; Ability to work collaboratively with others while maintaining accountability for your work product.
Pay: list ranges per state.
We need to ensure we don't include filler like "N/A". We'll omit.
Now produce HTML.
Let's write:
About the role
An Associate in our Forensic Technology practice begins to utilize their educational background as well as their organizational skills as they serve the firm's dynamic client base. An Associate’s responsibilities include problem solving, consulting, and fact-finding on active cases as well as internal practice initiatives (e.g. recruiting, business development, and service offering innovation). This role has the opportunity to gain an understanding of the business by working on various stages of a forensic consulting engagement across issues like bribery and corruption, fraud, money laundering, disputes, litigation, corporate compliance, and data breach response. On these engagements, the associate works side-by-side with more experienced team members who can provide direction, coaching, and learning opportunities.
Responsibilities
- Provides data analytics services to a variety of clients, including outside counsel, regulators, and companies involved in litigation, investigation, dispute, regulatory, and compliance matters
- Contributes to forensic engagements related to fraud, anti-money laundering, insurance risks, foreign corrupt practices act (FCPA), disputes, and other matters
- Develops working relationships with internal and external stakeholders and communicates effectively
- Supports ETL processes by forensically extracting, cleaning, transforming, and analyzing data for in-depth data analytics for big datasets
- Performs analyses and takes ownership of assigned workstreams from data gathering through documentation and delivery
- Prepares high-quality, accurate client deliverables and insights
- Acts with professionalism and integrity when working with confidential and sensitive information
- Maintains a proactive and logical approach to information gathering, identifying potential issues and anomalies while presenting complex information clearly and effectively
- Identifies and researches new trends and tools and understands the data analytics marketplace while working on client engagements
- Develops expertise in technical programs (SQL, Power BI, Tableau, R, Python)
- Assists with developing documents, procedures, and solutions on non-billable practice development initiatives
- Works on international projects with potential domestic and/or international travel
- Audits own work product as well as other team members’ work to ensure quality
- Other duties as required
Requirements
- Bachelor’s degree required; focus in Accounting, Analytics, Computer Science, Statistics, Finance, Economics, Engineering, or Information Systems preferred
- Leadership experience preferred
Skills
- Understanding of relational databases, preferably SQL Server
- Experience with Python, R, and/or other programming languages or tools
- Experience with querying structured and unstructured data, cleaning and profiling datasets, building repeatable analytics, and visualizing results
- Experience with data visualization software (e.g. Tableau, PowerBI)
- Familiarity with agentic AI tools and AI-driven workflow automation
- Proficient in Microsoft Office Suite, Word, Excel, and PowerPoint
- Fluent in one or more languages other than English preferred
- Ability to work with a high degree of professionalism and autonomy
- Demonstrated curiosity and coachability, with a willingness to learn and develop skills in technical programs
- Excellent verbal and written communication skills, including notetaking and documentation of methods, procedures, and processes
- Ability to translate complex data into simple, concise business observations
- Strong organizational skills, with the ability to meet project deadlines and maintain close attention to detail
- Ability to work in a deadline-driven environment
- Ability to interact effectively with people at all organizational levels of the Firm
- Ability to work collaboratively with others while maintaining accountability for your work product
Pay
- California Range: $85,000 - $90,000
- Colorado Range: $73,000 - $77,000
- Illinois Range: $78,000 - $87,000
- Maryland Range: $83,000 - $87,000
- Massachusetts Range: $83,000 - $87,000
- Minnesota Range: $70,000 - $74,000
- New Jersey Range: $78,000 - $82,000
- NYC/Long Island/Westchester Range: $83,000 - $87,000
- Virginia Range: $7
for prose. Let's extract content. Job Summary: The paragraph starting "Job Summary JOB DESCRIPTION An Associate in our Forensic Technology practice, begins to utilize their educational background..." We'll keep that as prose. Responsibilities: The list under "Job Duties". It includes many bullet-like sentences. We'll turn each into
- Responsibilities as
-
- Requirements (Education & Experience) as
- .
We must not repeat job title as heading.
Let's craft.
About the role: Use the Job Summary paragraph.
Responsibilities: list as above.
Requirements: Education: Bachelor’s degree required; focus in Accounting, Analytics, Computer Science, Statistics, Finance, Economics, Engineering, or Information Systems preferred. Experience: Leadership experience preferred. (License/Certification N/A we can drop). Also maybe include "Other Knowledge, Skills & Abilities" but those are more skills; we can put them in Skills.
Skills: Technical: Understanding of relational databases preferably SQL Server; Experience with Python, R, and/or other programming languages or tools; Experience with querying structured and unstructured data, cleaning and profiling datasets, building repeatable analytics, and visualizing results; Experience with data visualization software (e.g. Tableau, PowerBI); Familiarity with agentic AI tools and AI-driven workflow automation; Proficient in Microsoft Office Suite, Word, Excel, and PowerPoint; Languages: Fluent in one or more languages other than English preferred. Soft skills: Ability to work with a high degree of professionalism and autonomy; Demonstrated curiosity and coachability, with a willingness to learn and develop skills in technical programs; Excellent verbal and written communication skills, including notetaking and documentation of methods, procedures, and processes; Ability to translate complex data into simple, concise business observations; Strong organizational skills, with the ability to meet project deadlines and maintain close attention to detail; Ability to work in a deadline-driven environment; Ability to interact effectively with people at all organizational levels of the Firm; Ability to work collaboratively with others while maintaining accountability for your work product.
Pay: list ranges per state.
We need to ensure we don't include filler like "N/A". We'll omit.
Now produce HTML.
Let's write:
About the role
An Associate in our Forensic Technology practice begins to utilize their educational background as well as their organizational skills as they serve the firm's dynamic client base. An Associate’s responsibilities include problem solving, consulting, and fact-finding on active cases as well as internal practice initiatives (e.g. recruiting, business development, and service offering innovation). This role has the opportunity to gain an understanding of the business by working on various stages of a forensic consulting engagement across issues like bribery and corruption, fraud, money laundering, disputes, litigation, corporate compliance, and data breach response. On these engagements, the associate works side-by-side with more experienced team members who can provide direction, coaching, and learning opportunities.
Responsibilities
- Provides data analytics services to a variety of clients, including outside counsel, regulators, and companies involved in litigation, investigation, dispute, regulatory, and compliance matters
- Contributes to forensic engagements related to fraud, anti-money laundering, insurance risks, foreign corrupt practices act (FCPA), disputes, and other matters
- Develops working relationships with internal and external stakeholders and communicates effectively
- Supports ETL processes by forensically extracting, cleaning, transforming, and analyzing data for in-depth data analytics for big datasets
- Performs analyses and takes ownership of assigned workstreams from data gathering through documentation and delivery
- Prepares high-quality, accurate client deliverables and insights
- Acts with professionalism and integrity when working with confidential and sensitive information
- Maintains a proactive and logical approach to information gathering, identifying potential issues and anomalies while presenting complex information clearly and effectively
- Identifies and researches new trends and tools and understands the data analytics marketplace while working on client engagements
- Develops expertise in technical programs (SQL, Power BI, Tableau, R, Python)
- Assists with developing documents, procedures, and solutions on non-billable practice development initiatives
- Works on international projects with potential domestic and/or international travel
- Audits own work product as well as other team members’ work to ensure quality
- Other duties as required
Requirements
- Bachelor’s degree required; focus in Accounting, Analytics, Computer Science, Statistics, Finance, Economics, Engineering, or Information Systems preferred
- Leadership experience preferred
Skills
- Understanding of relational databases, preferably SQL Server
- Experience with Python, R, and/or other programming languages or tools
- Experience with querying structured and unstructured data, cleaning and profiling datasets, building repeatable analytics, and visualizing results
- Experience with data visualization software (e.g. Tableau, PowerBI)
- Familiarity with agentic AI tools and AI-driven workflow automation
- Proficient in Microsoft Office Suite, Word, Excel, and PowerPoint
- Fluent in one or more languages other than English preferred
- Ability to work with a high degree of professionalism and autonomy
- Demonstrated curiosity and coachability, with a willingness to learn and develop skills in technical programs
- Excellent verbal and written communication skills, including notetaking and documentation of methods, procedures, and processes
- Ability to translate complex data into simple, concise business observations
- Strong organizational skills, with the ability to meet project deadlines and maintain close attention to detail
- Ability to work in a deadline-driven environment
- Ability to interact effectively with people at all organizational levels of the Firm
- Ability to work collaboratively with others while maintaining accountability for your work product
Pay
- California Range: $85,000 - $90,000
- Colorado Range: $73,000 - $77,000
- Illinois Range: $78,000 - $87,000
- Maryland Range: $83,000 - $87,000
- Massachusetts Range: $83,000 - $87,000
- Minnesota Range: $70,000 - $74,000
- New Jersey Range: $78,000 - $82,000
- NYC/Long Island/Westchester Range: $83,000 - $87,000
- Virginia Range: $7
- maybe combine education and experience.
- Skills (Technical & Soft) as
-
- Pay (salary ranges) as
- maybe each state as