SCCS Fraud Detection Analyst

Jacksonville, FL

Full-time

Onsite

Entry Level

Bank of America is committed to helping make financial lives better through connections and is seeking a Junior Fraud Detection Analyst. This role involves identifying emerging fraud trends and behavioral typologies through data analysis and partnering with various teams to translate insights into actionable strategies.

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Responsibilities

Identify emerging fraud typologies, behavioral patterns, and anomalous activity through deep exploratory analysis of large, complex datasets
Perform trend analysis, clustering, segmentation, and grouping techniques to uncover non‑obvious relationships and evolving fraud behaviors
Analyze transactions, customer behavior, devices, accounts, and networked entities to surface signals indicative of novel or previously undetected fraud
Develop clear hypotheses in ambiguous problem spaces and iterate analytically as new findings emerge
Serve as a technical and analytical SME within Fraud Detection, guide and influence other business leaders and peer SMEs rather than formal management responsibility
Maintain awareness of industry fraud trends, emerging technologies, and regulatory expectations, proactively adapting analytical approaches
Translate analytical findings into actionable insights for fraud strategy, detection rules, models, and investigative prioritization
Partner with Fraud Strategy, GIS, Client Protection, Digital and Technology teams to support downstream model enhancements, detection logic, and control changes
Create compelling visualizations, summaries, and executive‑ready narratives to communicate complex findings clearly
Conduct root‑cause and driver analysis on material fraud events, spikes, or shifts in loss performance
Evaluate new data elements and signals for relevance to detection and typology development

Qualification

Required

Demonstrated experience identifying new or evolving fraud behaviors or typologies, particularly in environments where risks are not fully defined or labeled
Proficiency in SQL and at least one analytical or data science language (e.g., Python, SAS)
2+ years of experience applying data science, analytics, or advanced modeling in fraud, risk, cyber, or financial services domains
Demonstrated exceptional attention to detail, with the ability to identify subtle data inconsistencies, behavioral anomalies, and analytical gaps that materially impact fraud outcomes
Strong intellectual curiosity and a consistent habit of asking incisive questions to fully understand the why behind observed patterns, model behavior, and fraud outcomes
Proven ability to think logically and structure complex problems, breaking ambiguous fraud risks into clear hypotheses, analytical approaches, and testable conclusions
Ability to independently assess what data matters, what signals are meaningful, and what analyses are required, rather than relying on predefined scripts or instructions
Disciplined analytical judgment, with the ability to distinguish signal from noise and avoid overfitting conclusions based on incomplete or misleading data
Track record of producing high‑quality, defensible analysis that stands up to scrutiny from technical peers, risk partners, and senior leadership
Experience supporting detection models or rule strategies through analytical insight
Ability to work independently on complex, ambiguous problems with minimal direction
Proven ability to translate analytical insights into business and risk decisions

Preferred

Bachelor's degree in a quantitative field (e.g., Computer Science, Data Science, Statistics, Engineering, Mathematics) or equivalent practical experience
Experience working in fraud discovery, advanced detection analytics, or threat research style roles
Familiarity with graph‑based thinking or networked fraud behaviors (even if tools were indirect)
Experience with fraud detection use cases such as account takeover, market manipulation, synthetic identity, payments fraud, or digital abuse
Experience working with largescale, distributed data environments
Prior exposure to vendor model evaluation, proof‑of‑concept testing, or platform integrations
Strong executive presence and comfort influencing senior leaders without direct authority

Benefits

Being a Great Place to Work and providing a culture of caring
Fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success
Attracting and developing exceptional talent
Recognizing and rewarding performance
Supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development
Clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs
Opportunities to learn, grow, and make an impact

Bank of America is a financial institution that offers credit cards, home loans, and auto loan services.

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