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AppGate · 3 weeks ago

Financial Crime Data Scientist

New York, NY

Full-time

Onsite

Entry, Mid Level

$125K/yr - $225K/yr

1+ years exp

AppGate is a company focused on cybersecurity solutions, and they are seeking a Financial Crime Data Scientist to leverage data science techniques to combat financial risks and fraud. The role involves analyzing various data signals, collaborating with internal teams, and developing predictive models to enhance fraud detection capabilities.

Cloud SecurityCyber SecurityNetwork SecuritySoftware

Comp. & Benefits

H1B Sponsor Likely

Responsibilities

Conduct in-depth investigations into financial crime activity, including transaction fraud, account compromise, synthetic identity, malware-enabled fraud, and ransomware monetization patterns

Monitor intelligence feeds for emerging threat actors, TTPs, botnet activity, phishing kits, malware variants, and monetization schemes

Identify fraud indicators, behavioral patterns, anomalies, and signal correlations across structured and unstructured data sources

Collect, clean, engineer, and analyze large datasets using Python, SQL, and cloud-based data platforms

Perform statistical analysis, clustering, anomaly detection, and supervised/unsupervised machine learning to improve predictive fraud scoring

Build prototypes for fraud detection algorithms; partner with data science teams to productionize models

Build and maintain analytical data pipelines with engineers using tools such as Airflow, dbt, Spark, or similar

Automate data ingestion (APIs, logs, intelligence feeds, enrichment sources) for ongoing fraud monitoring

Create dashboards and visualizations using Tableau, Power BI, Looker, Mode, or similar to communicate findings

Translate fraud intelligence into actionable requirements for product and engineering teams (e.g., detection rules, model features, new risk signals)

Collaborate with marketing and customer-facing teams to prepare intelligence briefs, threat summaries, and fraud trend reports

Produce fraud loss metrics, risk scoring insights, and performance evaluations of prevention tools

Maintain strict confidentiality and follow handling protocols for sensitive data, PII, and regulated financial information

Stay current on fraud trends, sanctions, AML regulations, and industry standards

Qualification

SQLPythonData visualizationMachine learningFraud detectionData engineeringAnalytical thinkingInvestigative rigorEffective communicationCross-functional collaboration

Required

Bachelors/Masters degree in Data Science, Applied Statistics, Digital Forensics, Financial Engineering, Criminology, Computer Science, Cybersecurity, or relevant field; or equivalent experience

1-3+ years in fraud detection, threat intelligence, financial crime investigations, cyber threat analysis, or risk operations

Strong proficiency in: SQL for data extraction and manipulation

Strong proficiency in: Python (pandas, NumPy, scikit-learn) for data analysis

Strong proficiency in: Data visualization tools (Tableau, Power BI, Looker, etc.)

Familiarity with machine learning concepts, anomaly detection, statistics, and predictive modeling

Experience with fraud platforms, case management systems, device intelligence, or behavioral analytics systems

Demonstrated investigative mindset with excellent documentation and communication skills

Preferred

Experience with big data technologies (Spark, Databricks, Snowflake)

Knowledge of fraud-specific data sources: device fingerprinting, behavioral biometrics, geolocation, IP intelligence, OSINT, malware intel feeds

Familiarity with malware families, attack chains, and cyber threat intelligence frameworks such as MITRE ATT&CK

Exposure to API-based integrations, data enrichment pipelines, and log analysis

Understanding of risk scoring systems, rules engines, or real-time decisioning platforms

Experience with AML, KYC, BSA, sanctions screening, or cryptocurrency tracing tools

Company

AppGate

AppGate develops and provides cloud and hybrid-ready security and analytics products and services.

Founded in 2020

Coral Gables, Florida, USA

501-1000 employees

https://www.appgate.com/

H1B Sponsorship

AppGate has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2024 (1)