Quantitative Advisory & Governance

Pragmatic Financial Risk Management
with Precision

Branna delivers institutional-grade quantitative risk management, financial models, independent model validation, regulatory compliance advisory, and financial risk management training. Bridging rigor with pragmatism, it empowers institutions in developed and frontier markets to manage financial risk.

About the Practice

Selemon Getachew, Ph.D. .

Principal & Quantitative Lead

Biography & Executive Background

Selemon Getachew is a senior financial risk expert and quantitative leader with over 20 years of experience building, validating, and leading risk management models across major banking institutions and trading floors. Formerly Senior Vice President of Market Risk Management at PNC and Vice President at Wells Fargo, Dr. Getachew has led institutional model risk validation, balance sheet analytics, and complex derivative pricing across interest rate, FX, commodity, credit, and mortgage-backed securities (MBS) markets.

He holds a Doctorate (Ph.D.) in Mathematics from Brown University and completed his undergraduate studies at Dartmouth College with a B.A. in Mathematics, Computer Science, and Studio Art. This rigorous academic foundation underpins his ability to translate advanced mathematical principles directly into complex financial markets and regulatory capital frameworks.

Bridging Developed & Frontier Markets

A core pillar of Branna LLC is adapting Wall Street-grade quantitative frameworks for rapidly evolving financial institutions globally. While developed markets require deep regulatory compliance and advanced stress-testing methodologies, frontier economies require scalable, pragmatic risk management structures designed for emerging capital markets.

By translating high-level quantitative models into localized, operationally viable practices, we enable institutions in emerging economies to establish robust risk governance, improve sovereign and credit risk assessment, and attract international capital confidence.

Balanced Philosophy

"Bridging mathematical rigor with clear, intuitive communication—prioritizing return-on-attention, conceptual clarity, and timely deliverables."

Core Practice Areas

Advisory & Capacity Services

Tailored quantitative solutions designed to meet the distinct operational and regulatory environments of global financial markets.

Developed Markets

Quantitative Model Advisory

Full-scale quantitative advisory for banking and market institutions, including advanced model validation, CCAR stress scenario testing, FRTB compliance, SA-CVA, and custom derivative pricing engines.

Focus: Model Risk Governance, Regulatory Compliance & Complex Derivatives
Frontier Markets

Capacity & Regulatory Solutions

Strategic capacity building, financial risk training, structured debt and cash-flow models, and pragmatic regulatory readiness tailored to evolving supervisory expectations.

Focus: Institutional Readiness, Risk Framework Architecture & Capability Building

Specialized Expertise

Strategic Capabilities

Market Risk Management

Quantifying, modeling, and managing exposure across Interest Rate Risk, Foreign Exchange (FX), Commodity Price Risk, Counterparty Credit Risk, Value-at-Risk (VaR), Expected Shortfall (ES), Potential Future Exposure (PFE), Credit Value Adjustment (CVA), and Interest Rate Risk (IRR).

Model Risk Management

Independent model validation, conceptual soundness reviews, quantitative benchmarking, and governance frameworks across trading and banking book models.

Regulatory Compliance & Stress Testing

Regulatory capital (FRTB, Market Risk Rule), CVA Capital, Risk-Weighted Assets, CCAR stress scenarios, and Basel capital frameworks.

Asset Liability Management (ALM)

Balance sheet management, deposit modeling, liquidity risk frameworks, and interest rate sensitivity analysis.

Derivatives & Structured Products

Valuation, term structure modeling, hedging, and cash-flow replication and approximation for derivatives and fixed income instruments.

Initiate an Engagement

Need Financial Risk and Quantitative Model Solutions?