Financial Crime Detection

Financial Crime Detection Finance Jobs

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Today

Financial Crimes Data Analyst

MidFirst Bank Oklahoma City, OK

Oklahoma City, OK

Today

Full time Business Intelligence Data Analysis Data Analytics

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Job Description

MidFirst Bank is seeking a Financial Crimes Data Analyst in Oklahoma City, Oklahoma (onsite) to help detect, prevent, investigate, and report potential illicit financial activity. The role combines analytical problem-solving with practical data delivery through Tableau dashboards and SQL reporting, with a strong emphasis on data quality and validated insights.

In this position, you will translate business needs into technology solutions and support department operations with timely, professional analysis. You will also document business rules and reporting logic while researching and resolving data, reporting, and system issues.

Key Responsibilities

Gather business requirements and translate them into technology solutions.
Provide timely, professional support to the department.
Develop, maintain, and enhance Tableau dashboards.
Apply statistical and analytical techniques to identify unusual patterns, assess likelihood, and convert data into actionable insights.
Write SQL queries for reporting, analysis, and data validation.
Research and resolve data quality, reporting, and system issues.
Participate in quality control and validation activities.
Identify opportunities to automate manual processes.
Document business rules, data definitions, processes, and reporting logic.

Required Qualifications

Bachelor’s degree required; strong commensurate experience may be considered in lieu of degree. Advanced degrees and certifications are a plus.
2+ years of experience in data analysis, reporting, and data validation.
Strong analytical and critical-thinking skills, including the ability to apply analytical techniques to business problems and explain findings to technical and non-technical audiences.
Proven ability to create effective data visualizations and user-friendly dashboards, preferably using Tableau.
Proficient SQL development skills, including experience with Microsoft SQL Server 2016 or newer.
Proficient in preparing, cleansing, and transforming data for reporting and analytics.
Self-motivated, resourceful, and proactive with a strong sense of ownership and accountability.
Strong documentation skills for communicating technical concepts, business requirements, and processes.
Ability to manage multiple priorities, work independently, and meet deadlines with minimal supervision.
Excellent interpersonal skills and a collaborative approach with cross-functional teams.
Curiosity and willingness to learn new technologies, business processes, and data sources.
Proficient with Microsoft Office, particularly Excel.
Strong written and verbal communication skills.

Preferred Skills & Tools

Experience building SAP Web Intelligence (BIC) reports is preferred.

Technologies

Tableau
SQL
Microsoft SQL Server 2016
Microsoft Office
Excel
SAP Web Intelligence (BIC)

What a Successful Candidate Does Well

Enjoys investigating why numbers do not match instead of accepting the first answer.
Treats internal business units like customers and focuses on making their work easier.
Asks questions when requests are vague or incomplete.
Takes ownership of problem investigation and recommends next steps.
Balances responsiveness with ensuring accuracy.
Translates business needs into technical solutions.
Explains findings, what still needs confirmation, and what will happen next.
Provides feedback and contributes to a team knowledge base based on what is learned.

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12d ago

Financial Crimes Risk Senior Data Analyst/Data Scientist

Rain Washington, DC

Washington, DC

12d 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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