Transforming ComplianceFrom Obligation to Intelligence

I’m Oluwabukola Rachael Tiamiyu, a financial compliance and data analytics expert dedicated to building intelligent frameworks that help financial institutions anticipate risk, prevent fraud, and strengthen regulatory trust.

Tell Us About Yourself Section

About Me

A Financial Intelligence ArchitectCommitted to Integrity and Innovation

I am a Financial Services Professional with a deep focus on anti-money laundering (AML), fraud prevention, and regulatory compliance. My mission is to bridge the gap between finance and data science by designing systems that not only detect anomalies but also explain and prevent them.

Over the past several years, I’ve worked across banking, compliance, and analytics, managing complex financial operations, implementing data-driven risk assessments, and leading cross-functional teams toward operational excellence.

With an M.Sc. in Economics from Georgia State University, I combine analytical rigor with policy insight—bringing a multidisciplinary approach to modern financial intelligence.

About Me

My journey began at Access Bank Plc (Nigeria), where I served as a KYC/AML Compliance Analyst and later as Branch Operations Manager, improving audit ratings by 20% and reducing fraud incidents by 25%. In the United States, I advanced into Finance and Compliance Analysis, designing predictive models that integrate financial performance with risk forecasting.

Core Expertise

Anti-Money Laundering (AML) & Financial Crimes Investigation

Data Analytics (Python, SQL, R, Tableau, RapidMiner)

Machine Learning for Risk Detection

Regulatory Frameworks (FATF, FinCEN, OFAC, EU AMLD)

Predictive Modeling & Financial Forecasting

Compliance Automation & AI Governance

Career Highlights

Finance & Compliance Analyst – Hackhemist LLC (Atlanta, GA)

Developed and deployed machine-learning algorithms for predictive risk modeling and financial performance forecasting.

Branch Operations Manager – Access Bank Plc (Nigeria)

Led compliance and operational risk teams; achieved a 25% increase in customer satisfaction and improved audit scores.

Graduate Administrative Coordinator – Georgia State University

Oversaw financial accountability, project management, and budget forecasting.

Top of Class Graduate – School of Banking Excellence (2017)

Recognized for exceptional academic and professional performance in accounting and banking management.

Introducing FIN-RESOLVE™

FIN-RESOLVE™: My Landmark Framework

FIN-RESOLVE™ (Financial Intelligence Network for Risk Evaluation, Surveillance, Optimization, and Learning-based Value Enhancement) is my original contribution to the field of financial compliance and data analytics.

It’s an AI-driven compliance intelligence framework that transforms how institutions detect, evaluate, and mitigate risk by combining data fusion, behavioral analytics, and predictive modeling into one unified ecosystem.

Five Core Pillars of FIN-RESOLVE™

FUSE

Data Fusion & Anomaly Detection

Integrates data from banking, ERP, and CRM systems to uncover hidden transaction risks.

INSIGHT

Behavioral Intelligence & Graph Analytics

Detects non-obvious relationships using AI and graph networks.

NORM

Dynamic Regulatory Alignment Core

Ensures continuous compliance with global standards such as FATF, FinCEN, and OFAC.

OPTIMIZE

Predictive Risk Scoring & Financial Resilience

Uses simulations to forecast and prevent compliance failures.

EVOLVE

Continuous Learning & Value Enhancement

Implements adaptive feedback loops that make compliance smarter with every case.

Impact

Vision

To make compliance a strategic intelligence advantage — not a regulatory burden

Publications & Research

“Unveiling Hidden Money Laundering Networks: The Application of Graph Neural Networks in Financial Transaction Analysis”

(In publication).

“Impact of Female Labor Force Participation on Fertility Rates Across Various States in the USA”.

(2023)

“A Comparative Analysis of Economic Development: A Time Series Regression Study of Nigeria and the USA”

(2023)

“Factors Influencing Successful Outcomes in Different Foster Care Environments”

(2023)

My ongoing research explores the intersection of AI, economics, and regulatory science, focusing on how data can strengthen trust and accountability across financial systems.

Awards & Recognition

Access Bank, 2017

Top of Class Graduate

– School of Banking Excellence

National Youth Service Corps (2017)

Best Teacher Award

Access Bank (2021)

Top 3 for ATM Uptime in Zone

Georgia State University ($60,000, 2022-2023)

Graduate Assistantship Award

Professional Memberships

American Economic Association (AEA)

National Association of Business Economics (NABE)

Chartered Institute of Bankers of Nigeria (ACIB)

Association of Certified Anti-Money Laundering Specialists (ACAMS)

Speaking & Judging Engagements

Technovation Judge Advisor (2025)

Mentored and evaluated innovative AI-driven solutions at the global Technovation competition.

European AI Competition Judge (2025)

Reviewed cutting-edge AI projects across fintech, cybersecurity, and data analytics.

These roles highlight the trust placed in my professional judgment and my ongoing commitment to advancing responsible technology innovation.

Portfolio

Explore selected analytics, modeling, and compliance intelligence projects

PPP Loan Analysis Dashboard (U.S. SBA Data)

Built Tableau visualizations uncovering demographic disparities in loan approvals.

Stock and Revenue Data Analysis (Tesla & GameStop)

Web-scraped and modeled price trends and volatility patterns.

AML Risk Modeling Prototype

Developed a machine-learning model for transaction anomaly detection using Python and SQL.

Education

M.Sc., Economics

– Georgia State University, USA (2023)

Postgraduate Diploma, Business Administration

– Grace Polytechnic, Nigeria (2020)

B.Sc., Economics

– University of Lagos, Nigeria (2016)

Access Bank School of Banking Excellence Certificate

(2018)

Contact

Get In Touch

Let’s Build Smarter Compliance Together.

Integrity. Intelligence. Impact.

Transforming compliance into insight, and data into trust.