Financial Crimes

Financial Crimes Finance Jobs

11 jobs found

1d ago

Financial Crimes Risk Senior Data Analyst/Data Scientist

Rain Washington, DC

Washington, DC

1d ago

Full time Senior Data Analysis Data Analytics

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Job Description

Lead transaction monitoring and investigative analytics for financial crimes risk management by tuning detection logic and scaling compliance controls for FIU workflows.

Responsibilities

Tune and optimize transaction monitoring rules across card, ACH, wire, digital, and asset activity
Analyze alert, case, and transaction data to reduce false positives, close coverage gaps, and improve detection quality
Support financial crime vendor configuration optimization, including thresholds, matching logic, rulesets, risk settings, and workflows
Assist with testing, backtesting, regression testing, and audits to confirm monitoring and screening controls perform as intended
Translate investigative findings, emerging typologies, and regulatory requirements into scalable monitoring logic and technical controls
Help develop internal compliance tools, workflows, dashboards, and automations that support FIU and Compliance operations
Partner with Investigations, Compliance, Engineering, and vendors to implement, validate, document, and continuously improve financial crime controls

Requirements

4–7+ years of experience in financial crimes analytics, compliance technology, fraud/risk analytics, or related roles in fintech, banking, payments, or digital assets
Advanced SQL and strong Python skills, including experience working with large transaction datasets and building reusable compliance tooling
Hands-on experience tuning transaction monitoring rules, including thresholds, lookback periods, segmentation, exclusions, and behavioral indicators
Experience managing and optimizing financial crime vendor settings, including screening thresholds, matching logic, risk parameters, rulesets, and workflows
Experience testing and auditing transaction monitoring and screening controls through backtesting, regression testing, QA, and control effectiveness reviews (including KYC/KYB and sanctions)
Ability to evaluate monitoring performance using metrics such as alert volumes, false-positive rates, escalation outcomes, precision/recall, and detection coverage
Strong understanding of AML/BSA, transaction monitoring, sanctions, and KYC/KYB, with capability to translate risk requirements into scalable technical controls
Hands-on experience with blockchain intelligence tools such as Chainalysis, TRM Labs, Elliptic, or similar platforms

Technologies

SQL, Python, Chainalysis, TRM Labs, Elliptic
BigQuery, Snowflake, Spark

Bonus Attributes

Experience developing or deploying machine learning models for fraud, AML, transaction monitoring, anomaly detection, or customer risk
Experience with graph analytics, network analysis, entity resolution, or behavioral modeling across transaction and customer datasets
Experience building production-grade Python services, analytical pipelines, or detection frameworks beyond notebook-based analysis
Familiarity with feature engineering, model evaluation, threshold optimization, precision/recall analysis, and model monitoring
Experience working with large-scale data platforms and distributed processing frameworks such as BigQuery, Snowflake, Spark, or similar
On-chain analytics experience including blockchain tracing, wallet clustering, or combining digital asset and traditional payments data for financial crime detection
Experience translating investigative findings or emerging typologies into scalable detection logic, models, or automated controls

About the Team

Part of Rain’s Financial Crimes Risk Management (FCRM) function supporting the Financial Intelligence Unit (FIU)
Reports to the Director of Compliance Data & Analytics and partners with FIU Investigations and Compliance leadership
Focuses on strengthening transaction monitoring, investigative analytics, and risk segmentation frameworks for Rain’s financial crimes program

Benefits

Unlimited time off with requirement for Rainmakers to take 10 days minimum for themselves
Flexible working
New Rainmakers receive a stipend to create a comfortable home setup
For US Rainmakers: comprehensive health, dental, and vision plans for you and dependents
100% company subsidized life insurance
401(k) with a 4% company match
Equity option plan
Rain Cards for testing core products and services
Health and Wellness spending via Rain Cards (gym memberships/fitness classes, massages, acupuncture, etc.)
Team summits with domestic and international offsites

Location and Experience

Washington, DC (onsite)
Minimum experience: 4 years

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2d ago

Financial Crimes - Senior Data Scientist

KeyBank National Association Cleveland, OH

Cleveland, OH

2d ago

$94k - $175k/yr Full time Senior Analytics Artificial Intelligence

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Job Description

KeyBank National Association is hiring a Financial Crimes Senior Data Scientist to support AML/BSA/OFAC analytics and quantitative model work on a hybrid basis.

Responsibilities

Under manager oversight, perform quantitative work including model development and ad hoc analytics to meet financial crime compliance needs in AML/BSA/OFAC
Research, compile, and evaluate large datasets to assess data quality and determine suitability for model building
Develop and maintain internal models; test and configure vendor solutions to support conceptually sound design, correct implementation, and acceptable model performance
Document model development processes and outcomes; support model validation and review
Use innovative techniques to improve model effectiveness and efficiency, including reducing false positives
Build technical skills and business knowledge proactively; collaborate effectively with compliance, technology, and risk partners

Requirements

Master’s or Ph.D. degree in statistics, mathematics, economics, computer science, data sciences, predictive modeling, or other quantitative disciplines
At least 3 years of relevant experience (preferred experience: AML/BSA, OFAC, or fraud modeling/analytics)
If holding a bachelor’s degree: 4 years of relevant experience
Strong expertise in both traditional and Machine Learning (ML) / Artificial Intelligence (AI) modeling practices and solutions
Hands-on coding experience with SAS and/or Python
Knowledge of traditional databases, cloud-based computing, and distributed computing
Knowledge of financial crime regulatory requirements, technology, and data analysis best practices
Excellent verbal, written, and visual communication skills, including translating technical findings to non-technical audiences
Location requirement: located in or willing to relocate to Cleveland, OH or Buffalo, NY

Technologies

SAS
Python
Machine Learning (ML)
Artificial Intelligence (AI)

Compensation and Benefits

Base salary range: $94,000.00 - $175,000.00 annually
Placement within the pay range may vary based on factors including skills, experience, and geographic location
Incentive compensation eligibility may include production, commission, and/or discretionary incentives
Health insurance available (benefits list referenced; specific benefits not enumerated in the provided text)
Benefits eligibility details: click here for the list of eligible benefits
Workplace approach supports in-office presence with flexible options where roles can be performed effectively in a mobile environment

Location

Cleveland, OH (hybrid)
4910 Tiedeman Road, Brooklyn Ohio

Equal Opportunity Employer

KeyCorp is an Equal Opportunity Employer committed to an inclusive culture. All qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status, or any other characteristic protected by law.

Reasonable Accommodations

Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.

Posting expiration date: 10/28/2026

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2d ago

Financial Crimes Product Owner – AML Monitoring

Fifth Third Bank Cincinnati, OH

Cincinnati, OH

2d ago

Full time Anti-Money Laundering Financial Compliance Financial Crimes

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Job Description

Join Fifth Third Bank to help shape and deliver Anti-Money Laundering (AML) and Economic Sanctions strategies through product ownership of AML monitoring technology. This onsite role in Cincinnati supports a financial crimes squad focused on improving money laundering and predicate crimes identification, while aligning work across squads to strengthen compliance outcomes.

What you’ll do

Oversee timely, accurate delivery of projects that implement or enhance technology supporting financial crimes as a product owner on a financial crimes squad.
Set squad priorities by balancing timelines, strategic goals, production issue resolution, and other critical items.
Provide regular reporting on squad status, accomplishments, and challenges.
Partner with subject matter experts in financial crimes to ensure project requirements are captured correctly and delivered as intended.
Develop and maintain a roadmap for new or enhanced monitoring use cases, coordinating delivery with partners across multiple squads.
Strengthen and implement the Line of Business compliance program in accordance with laws and regulations, including governance, policies and procedures, monitoring, reporting, communications, and education.
Explain and prioritize critical AML projects with leaders of other squads.
Prioritize technical and business needs to support a highly available system aligned with bank security and availability standards.
Communicate business value and reasoning to support engineering and other team members, including training and enablement around why initiatives matter.
Escalate significant issues to senior management and act as a liaison with regulators as appropriate.
Maintain industry knowledge and relationships through networking, and stay current on division goals, regulatory and legislative developments, and industry trends.
Support strategic direction by working with senior leadership to set departmental goals and execute against objectives.
Participate in and/or lead peer meetings to build and maintain knowledge of current and emerging issues and risk.
Oversee squad performance to help meet Financial Crimes division goals and support Bancorp’s continued success.
Contribute to talent and team effectiveness through recruiting support, interviews, orientation, coaching, and ongoing two-way performance feedback.
Encourage open dialogue to promote creative, out of the box problem solving.
Review and implement approved solutions for the Regulatory Monitoring and Change Management program ownership.

What you’ll need

Bachelor’s degree or equivalent work experience.
Functional proficiency applying software applications (including Microsoft Office Suite) with minimal supervision.
Ability to understand and conceptualize basic statistical analysis and theories.
Experience manipulating data through validating, correcting, reformatting, and transforming data across formats such as spreadsheets, flat files, and databases.
Ability to oversee and plan technology budgets for future business needs.
Strong analytical skills to gather, assess, and present quantitative and qualitative data.
Ability to develop and support conclusions, make practical recommendations, and implement controlled, step-by-step processes.
Capacity to plan and complete project work independently or with a team, including identifying responsibilities, tasks, and deadlines.
Experience collaborating across units such as Legal, Audit, or Business units to identify and resolve problems.
Excellent oral and written communication skills, with the ability to communicate upward, downward, and laterally.
Sound judgment and logical, critical thinking when developing and recommending solutions.
Knowledge of the bank’s payments flow process, systems, and teams, with the ability to network to accomplish project goals.
Ability to maintain professional composure while managing multiple competing priorities in a dynamic environment.
Strong SQL and data skills to research issues and respond to regulator, audit, and management questions.
Full adherence to Fifth Third’s Core Values: Integrity, Teamwork and Collaboration, Respect and Inclusion, and Accountability.

Compliance and training requirements

Adhere to Bank Secrecy Act and Anti-Money Laundering reporting and record keeping requirements, including observing economic sanctions by prohibiting transactions specified by OFAC.
Follow the bank’s Customer Identification Program (CIP) rules and all bank policies and procedures relating to BSA, OFAC, and CIP.
Participate in ongoing related training.

Benefits

Incentive compensation plan eligibility
Comprehensive benefits programs supporting physical, financial, emotional, and social well-being

Technologies

SAS AML
Microsoft Office Suite
SQL

Working conditions

Normal office environment with little exposure to dust, noise, and temperature extremes
Extended viewing of a CRT screen

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5d ago

Data Scientist, Financial Crime & Fraud Analytics

DATASEERS INC Alpharetta, GA

Alpharetta, GA

5d ago

Full time Big Data Data Analysis Data Analytics

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Job Description

DataSeers Inc is seeking a Data Scientist to support fraud detection and financial crime analytics using HPCC Systems and ECL in Alpharetta, GA.

Responsibilities

Analyze large volumes of financial transaction and customer behavior data using HPCC Systems and ECL.
Build ECL-based analytical workflows and feature-generation pipelines.
Develop behavioral baselines for customers, accounts, counterparties, devices, and transaction channels.
Design fraud and anomaly-detection methodologies across multiple product areas.
Conduct analysis of first-party, second-party, and third-party fraud patterns.
Detect unusual transaction behavior including velocity, amount, frequency, geography, channel, and relationship changes.
Perform relationship-based analysis across senders/receivers, accounts, businesses, devices, IP addresses, geographies, and payment instruments.
Create features for account takeover, mule activity, transaction anomalies, duplicate payments, relationship changes, and behavioral shifts.
Apply network and relationship analysis to identify suspicious linkages.
Evaluate and refine existing fraud and AML rules using historical data.
Find opportunities to reduce false positives while maintaining detection effectiveness.
Develop statistical and machine-learning models where appropriate.
Work with labeled and unlabeled datasets.
Design experiments and backtesting approaches using historical transaction data.
Partner with FraudSeer, CrimeSeer, IdentitySeer, ETL, and platform engineering teams.
Translate analytical research into production detection logic.
Develop approaches that are interpretable and explainable for financial institutions.
Research emerging financial crime and fraud typologies.

Requirements

Degree in computer science, statistics, mathematics, data science, engineering, economics, or another quantitative discipline.
3+ years of professional experience in data science, quantitative analytics, or fraud analytics.
Hands-on experience with HPCC Systems and/or ECL, or strong willingness and demonstrated ability to become productive in ECL quickly.
Strong SQL skills.
Strong statistical and analytical skills.
Experience working with very large datasets.
Understanding of classification, clustering, anomaly detection, feature engineering, statistical testing, and model evaluation.
Ability to analyze complex relationships between entities and transactions.
Ability to clearly explain analytical results to product, engineering, compliance, and business teams.

Preferred Experience

Strong HPCC/ECL experience.
Fraud detection or financial crime analytics experience.
Banking, fintech, cards, or payments experience.
Graph or network analytics.
Time-series and behavioral analytics.
Experience with account takeover, mule detection, synthetic identity, payment fraud, or transaction monitoring.
Python experience for research, experimentation, or model development.
Experience taking analytical models from research into production.
Familiarity with AML transaction monitoring and regulatory expectations.

Technologies

HPCC Systems
ECL
SQL
Python
R

Note: This is not primarily a Python notebook position. Python, R, and traditional machine-learning frameworks may be used where appropriate, but the core work involves substantial analytical execution against large-scale financial datasets in the DataSeers HPCC/ECL environment.

What Success Looks Like

Start with billions of financial transactions.
Use HPCC/ECL to transform transactions into behavioral and relationship features.
Identify fraud or financial crime patterns and validate them using historical analysis.
Work with engineering to turn patterns into scalable production detection capabilities.

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5d ago

Financial Crimes Sr. Product Owner / Sr. Business Analyst

Bank of America Charlotte, NC

Charlotte, NC

5d ago

Full time Senior Business Analytics Business Systems Analyst

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Job Description

Bank of America is seeking a Financial Crimes Sr. Product Owner / Sr. Business Analyst in Charlotte, NC to support technology products used by Financial Crimes operations and investigations. In this role, you will work across business, technology, and operations teams to shape product strategy, translate requirements into actionable delivery items, and help improve efficiency, user experience, and business outcomes.

This is an onsite position in the United States (1st shift) with an expected 40 hours per week, requiring strong Agile execution, requirement analysis, and data-driven product thinking.

What You’ll Do

Define and execute product vision, strategy, and roadmap for applications supporting Financial Crimes investigations and operations, maximizing value delivered to business partners and end users.
Deliver initiatives using Agile practices by maintaining a well-defined product backlog, applying a prioritization framework, and managing a release roadmap aligned to business objectives.
Gather, analyze, and document business and functional requirements for complex technology initiatives, translating needs into user stories and acceptance criteria.
Analyze data, business processes, and application performance metrics to generate insights, identify trends, and drive strategic product and process improvements.
Coordinate and influence stakeholders across business, operations, technology, and leadership to align on product roadmaps, priorities, risks, and key decisions.
Act as a subject matter expert for assigned products and business processes, guiding innovation and supporting strategic decision-making.
Own end-to-end product risk through preventive controls, monitoring activities, issue identification, and remediation to reduce recurring issues and support operational stability.
Manage a portfolio of technology applications used by Financial Crimes teams, balancing competing priorities, resource capacity, timelines, and delivery commitments.
Partner with technology teams through solution design, development, testing, implementation, production support, and ongoing platform enhancements to ensure solutions meet business requirements.
Develop and execute test plans, test scripts, and user acceptance testing activities, using tools including Jira, SQL, Teradata, Hadoop, and Microsoft Office for delivery support, data analysis, and change management.

Qualifications

Bachelor’s Degree or equivalent work experience.
5+ years of experience in Product Ownership, Business Analysis, Product Management, Technology Delivery, or a related discipline.
Experience managing technology products, applications, or platforms in an Agile environment.
Strong experience gathering requirements and translating business needs into user stories, acceptance criteria, and functional specifications.
Experience using Jira for backlog management, Agile delivery, and change management.
Experience developing and executing test scripts and supporting User Acceptance Testing (UAT).
Strong data analysis skills, including querying data with SQL.
Experience working with large-scale data platforms such as Teradata and Hadoop.
Advanced proficiency in Microsoft Excel and strong knowledge of Microsoft Office applications.
Proven ability to manage multiple stakeholders, competing priorities, project timelines, and delivery dependencies in a fast-paced environment.

Preferred Qualifications

Experience supporting Financial Crimes, including AML, KYC, Fraud, Sanctions, or Compliance organizations.
Experience with process improvement, workflow automation, and technology transformation initiatives.
Experience in financial services or another highly regulated industry.

Technologies

Agile, Jira, SQL, Teradata, Hadoop, Microsoft Office, Microsoft Excel

Skills

Access and Identity Management
Production Support
Regulatory Compliance
Risk Management
Critical Thinking
Issue Management
Policies, Procedures, and Guidelines Management
Solution Design
Written Communications
Stakeholder Management
Communication and Influence
Organization and Prioritization
Collaboration

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6d ago

Data Scientist- Financial Investigation

Guidehouse Washington, DC

Washington, DC

6d ago

$98k - $163k/yr Full time Analytics Artificial Intelligence Big Data

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Job Description

Guidehouse is seeking a Data Scientist- Financial Investigation for an onsite role in Washington, DC. In this position, you will lead analytical workstreams that support complex financial crime investigations and enforcement matters, turning data into decision-support products for regulatory and enforcement stakeholders.

What you will do

Lead analytical workstreams supporting complex financial crime investigations and enforcement matters.
Use advanced data science methods to analyze structured and unstructured datasets, identifying patterns of illicit financial activity and supporting investigative findings.
Develop analytical products that inform regulatory and enforcement decision-making.
Translate analytical findings into memoranda, briefings, recommendations, or other decision-support materials.
Independently execute analytical projects while collaborating directly with investigators, intelligence analysts, attorneys, and regulatory stakeholders.

Requirements

Active and current Secret clearance is required.
Must be a US Citizen.
Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Finance, Criminal Justice, Intelligence Studies, or a related field.
4+ years of experience developing analytical methods, models, tools, or workflows that deliver actionable insights.
Experience analyzing financial data and BSA filings, including SARs, CTRs, wire transfers, transaction records, account activity, or related financial intelligence datasets.
Strong proficiency with Python, SQL, PySpark, machine learning, natural language processing, data visualization, and statistical analysis.
Experience performing entity resolution of businesses, companies, beneficial owners, or related parties using analytical techniques.
Experience working in large-scale data environments using Hive, Spark, Hadoop, PostgreSQL, Oracle, or similar technologies.
Experience translating analytical findings into memoranda, briefings, recommendations, or other decision-support products.
Ability to independently execute analytical projects and collaborate with investigators, intelligence analysts, attorneys, and regulatory stakeholders.

Technologies

Python
SQL
PySpark
Machine learning
Natural language processing
Data visualization
Statistical analysis
Hive
Spark
Hadoop
PostgreSQL
Oracle

Nice to have

Experience supporting investigations involving money laundering, proliferation financing, terrorist financing, sanctions evasion, cyber-enabled financial crime, or complex fraud schemes.
Experience analyzing blockchain, virtual currency, Fedwire, correspondent banking, or international transaction data.
Experience supporting enforcement actions, regulatory reviews, or investigative matters.
Prior experience supporting FinCEN, Treasury, DOJ, DHS, or other federal law enforcement or regulatory agencies.

Compensation, travel, and job family

Annual salary range: USD 98,000 - 163,000
Travel required: up to 10%
Job family: Risk & Regulatory Compliance Consulting

Benefits

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend

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12d ago

Financial Crime Specialist 3

Experis Charlotte, NC

Charlotte, NC

12d ago

Contract Financial Crimes Financial Services Internal Controls

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Job Description

Experis is seeking a Financial Crime Specialist 3 for a contract assignment in Charlotte, NC with a hybrid schedule. The role focuses on consulting and analysis to support moderately complex financial crimes work and associated compliance deliverables, including AML/CFT and sanctions-related evaluations.

In this position, you will help identify and escalate risk, support documentation for customer risk management, and collaborate closely with Wells Fargo personnel as deliverables move through planning and execution.

Key Responsibilities

Consult on or participate in moderately complex initiatives and deliverables within Financial Crimes, including large-scale planning related to Financial Crimes deliverables.
Review and analyze moderately complex Financial Crimes challenges that require an in-depth evaluation of multiple variable factors.
Contribute to the resolution of moderately complex issues by consulting with others to meet Financial Crimes deliverables, applying a solid understanding of the function, policies, procedures, and compliance requirements.
Collaborate with Wells Fargo personnel in Financial Crimes.

Requirements

4+ years of experience in Financial Crimes, Operational Risk, Fraud, Sanctions, Anti-Bribery, Corruption, or an equivalent background supported through one or a combination of work experience, training, military experience, and education.

Job Expectations

No visa sponsorship is available for this position.
Travel may be required up to 10% of the time.
This role is subject to FINRA background screening requirements, including successful completion and passing of a background check prior to hire.
Per FINRA rules, individuals who are subject to statutory disqualification are not eligible to be associated with a FINRA-registered broker-dealer.
Ongoing regulatory obligations apply, including periodic screening and mandatory reporting of certain incidents.

Additional Desired Qualifications

AML/financial crimes background and/or experience with correspondent banking.
Experience supporting customer due diligence.
Knowledge of the FFIEC Exam Manual, CAMS certification, or other financial crimes certifications.
Strong verbal, written, and interpersonal skills.
Experience managing AML/CFT risk.
Strong analytical capability with high attention to detail and accuracy.
Knowledge of crypto-related AML and financial crimes typologies.
Experience with Microsoft Office, SharePoint, and other applications.