Hiring.Camp

Associate - Fraud Analytics Consultant (Senior Consultant)

Guidehouse is

·

Yesterday

Location
GH Office: Arlington, VA, United States of America
Workplace
Onsite
Type
Full-time
Seniority
Entry
Education
Bachelor
Clearance
Required
Source
Workday

Description

Job Family:

Data Science & Analysis


Travel Required:

None


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

The Associate II Fraud Analytics Consultant will support fraud analytics, data review, reporting, and investigative analysis activities as part of a multidisciplinary team. This position will use developed analytical skills to evaluate data, support assigned data preparation and quality review activities, assist with analytical work products, and contribute to recurring and ad hoc fraud analytics tasks under regular review. 

  • Support data preparation, transformation, and quality review activities used in analytics and reporting processes. 

  • Assist with testing and validation of data ingestion outputs, analytical datasets, and data source updates under guidance from senior team members. 

  • Use independent judgment to evaluate options, apply developed analytical skills, and recommend solutions for analytical challenges of limited scope. 

  • Analyze structured and unstructured data to identify trends, anomalies, patterns, correlations, and potential indicators of suspicious or fraudulent activity. 

  • Support refinement and documentation of fraud indicators, analytical datasets, detection logic, and recurring fraud analytics findings. 

  • Contribute to data mining, pattern recognition, link analysis, behavioral analysis, and basic statistical analysis activities that support operational decision-making. 

  • Support analysis of transactional, behavioral, and system activity data to identify trends and indicators requiring further review. 

  • Document technical processes, analytical methods, data assumptions, findings, and work products to support knowledge sharing and operational continuity. 

  • Coordinate with technical teams, analysts, engineers, and client stakeholders to clarify requirements, exchange information, and support delivery of assigned tasks. 

  • Prepare reports, dashboards, briefings, presentations, and technical documentation that communicate analytical findings to technical and non-technical audiences. 

  • Work onsite at the client location in Lanham, Maryland five (5) days per week and collaborate closely with government personnel and contractor team members. 



What You Will Need:

  • Ability to obtain and maintain a Public Trust clearance. 

  • Bachelor's degree in Data Science, Computer Science, Cybersecurity, Information Systems, Statistics, Mathematics, Engineering, Operations Research, Information Science, or a related field. 

  • Four (4) or more years of professional experience supporting data analytics, fraud analytics, business intelligence, data science, investigations, reporting, or a related analytical discipline. 

  • Experience supporting data integration, data preparation, extract, transform, load activities, data quality initiatives, or analytical dataset development. 

  • Experience analyzing datasets and identifying trends, anomalies, patterns, or correlations using analytical and statistical techniques. 

  • Experience working with SQL and data analysis tools to query, manipulate, and analyze data. 

  • Experience developing reports, dashboards, visualizations, or analytical products that support operational or business decision-making. 

  • Experience communicating technical findings to technical and non-technical audiences. 

  • Experience applying independent judgment to evaluate options, follow standard principles and techniques, and recommend appropriate solutions for assigned work. 

  • Ability and willingness to work onsite at the client location in Lanham, Maryland five (5) days per week. 



What Would Be Nice To Have: 

  • Experience supporting fraud analytics, financial crime, digital identity, risk analytics, investigations, or business intelligence programs. 

  • Experience using Microsoft Office products, SQL, reporting tools, or analytics tools such as Python, Power BI, Tableau, or similar technologies. 

  • Experience with enterprise reporting platforms, log analysis tools, analytical environments, or large-scale data review activities. 

  • Experience supporting data preparation, data quality review, reporting, dashboarding, or analytical work products. 

  • Experience developing dashboards or visualizations using Power BI, Tableau, Spotfire, Microsoft Excel, or similar tools. 

  • Familiarity with Agile delivery methodologies, collaborative development environments, and federal consulting environments. 

  • Candidate currently possesses an active Internal Revenue Service (IRS) Moderate Background Investigation clearance or has held one within the last six (6) months. 


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [email protected].  Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.  Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [email protected]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Skills

PythonSQLData ScienceExcelTableauPower BICybersecurityAgile

Similar Jobs

30

Fraud Associate

Gardner-White Furniture · Warren, MI

3 weeks ago

Fraud, Associate

Shift4 · Valletta, Malta · Remote

3 months ago

Quant Analytics Associate - Fraud Prevention

JPMorgan Chase · OH, United States, US

6 days ago

Quant Analytics Associate - Fraud Prevention

JP Morgan Chase · OH, United States, US

6 days ago

NQ - Associate Fraud

Clydeco · Manchester, United Kingdom · Hybrid

1 week ago

Associate Fraud & Claims Operations Representative-KYC

Wells Fargo · 111443-IND-HYDERABAD-INTL HYD WF CENTRE BLK B8 Twr-4, India

1 week ago

Senior Serious Organised Crime and Fraud Associate

Fca · London, United Kingdom +2

1 week ago

Advanced Associate, Fraud Investigation

Pearson · Noida, Uttar Pradesh, India · Hybrid

2 weeks ago

IN–Senior Associate –Fraud investigation- Investigations & Disputes_Advisory– Bangalore

Pwc · Bengaluru Millenia, India

1 month ago

Associate Fraud & Claims Operations Representative

Wf · 110655-PHL-TAGUIG CITY-INTL WELLS FARGO CAMPUS BLDG D, Philippines

1 month ago

Associate Fraud & Claims Operations Representative

Wells Fargo · 110655-PHL-TAGUIG CITY-INTL WELLS FARGO CAMPUS BLDG D, Philippines

1 month ago

Senior Quant Analytics Associate - Fraud Risk

JP Morgan Chase · Wilmington, DE, United States, US

2 months ago

Senior Quant Analytics Associate - Fraud Risk

JPMorgan Chase · Wilmington, DE, United States, US

2 months ago

Associate, Fraud Investigations - Identity & ATO (Fixed-Term Contract)

Wealthsimple Technologies · Remote (Canada) · Remote

2 months ago

Sr Associate, Fraud Analytics

Avant makes premier financial solutions · Chicago HQ, United States of America · Hybrid

3 months ago

Fraud, Associate (UK)

Shift4 · London, England, United Kingdom · Remote

3 months ago

Quantitative Analytics Associate - Fraud Prevention Optimization Strategy

JPMorgan Chase · Wilmington, DE, United States, US

3 months ago

Quantitative Analytics Associate - Fraud Prevention Optimization Strategy

JP Morgan Chase · Wilmington, DE, United States, US

3 months ago

Quantitative Analytics Associate - Fraud Prevention Optimization Strategy

JPMorgan Chase · Wilmington, DE, United States, US

3 months ago

Quantitative Analytics Associate - Fraud Prevention Optimization Strategy

JP Morgan Chase · Wilmington, DE, United States, US

3 months ago

Senior Process Associate Fraud

Guidehouse is · GH Office: Chennai, India (Keppel)

4 months ago

Senior Associate, Fraud Detection/Surveillance

0101022-GIA PROD US LOS ANGELES · Boston, MA, United States, US · Remote, Hybrid, Onsite

5 months ago

Fraud Support Associate

mtb · Williamsville, NY, United States of America · Hybrid

Yesterday

Associate II - Fraud Analytics Consultant (Senior Consultant)

Guidehouse is · GH Office: Arlington, VA, United States of America

Yesterday

Fraud & Dispute Associate

Fiserv is the global leader · Omaha, Nebraska, United States of America · Onsite

Yesterday

Associate Analyst - Fraud Risk Management

ADIB Candidate Experience site · United Arab Emirates, AE

6 days ago

Senior Fraud Policy Associate

Fca · London, United Kingdom +2

1 week ago

Fraud Alerting Associate

Morgan Stanley · South Jordan, UT,US, US

1 week ago

Fraud Alerting Associate

Ms · Utah Ops Center, United States of America

1 week ago

Fraud Prevention Associate

First Entertainment Credit Union · Hollywood, CA · Hybrid

1 week ago