Business Analyst – Basel III Endgame / SA‑CCR

Huron Consulting Services•Chicago, IL

About The Position

Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We’re helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we’re developing strategies and implementing solutions that enable the transformative change they need to own their future. As a member of the Huron corporate team, you’ll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron’s collective strategies and enable real transformation to produce sustainable business results. Join our team and create your future. We are seeking a highly skilled Business Analyst with deep expertise in Basel III Endgame and SA‑CCR to support regulatory transformation across risk, capital and liquidity frameworks. You will analyse requirements, map data lineage, evaluate capital impacts and design robust regulatory workflows that withstand audit and supervisory scrutiny. This role requires strong analytical depth, regulatory fluency, and the ability to convert technical models into actionable insights for risk, finance and senior leadership. Your Role: A Regulatory Analyst Advancing SA‑CCR Transformation

Requirements

Strong regulatory expertise , with hands-on experience interpreting Basel III Endgame, SA‑CCR exposure methodology and regulatory reporting formats (e.g., COREP, FR Y‑14/Q).
Capital optimisation knowledge , including how RWA changes impact ROE, balance sheet usage, liquidity consumption and senior‑leadership metrics.
Advanced data analysis capability , with experience in lineage mapping, golden‑source assessment and evaluating data quality across derivatives, SFTs and collateral.
Process design & governance experience , capable of defining controlled, auditable and regulator‑aligned workflows across risk and capital functions.
Stakeholder management skills , with the ability to translate technical content into business impacts for CRO, Treasury, Finance, Risk IT and Front Office audiences.
Scenario & stress testing familiarity , including modelling CSA changes, MPOR scenarios, sensitivity analysis and exposure recalculation effects.
AI‑assisted regulatory analysis experience , including NLP/LLM tools for requirement mapping, automated RTMs and interpretation comparisons.
Data‑quality diagnostics using ML , able to identify hidden inconsistencies and capital inefficiencies using advanced pattern detection.
Professional characteristics: analytical, structured, curious and able to operate independently in fast‑paced regulatory programmes.

Nice To Haves

familiarity with Databricks Data Quality frameworks, including AI-based pattern identification.

Responsibilities

Interpret Basel III Endgame & SA‑CCR requirements , translating RC, PFE, multipliers and EAD rules into structured business and functional requirements.
Link capital outcomes to financial metrics , connecting RWA changes to ROE, liquidity usage and CFO‑level performance indicators, including capital release quantification.
Perform in‑depth data analysis , mapping data lineage, identifying golden sources and assessing data completeness across OTC derivatives, SFTs, collateral and market data feeds.
Design compliant and repeatable workflows , establishing traceable processes with embedded governance, auditability and regulatory control points.
Conduct scenario analysis and stress testing , including CSA modifications, MPOR adjustments, volatility shocks and what‑if modelling for exposure and capital sensitivity.
Assess SA‑CCR interaction with liquidity , analysing how derivatives exposures drive collateral, funding, LCR consumption and liquidity‑capital interdependencies.
Apply AI‑enabled regulatory interpretation , using NLP/LLM tools to parse regulatory text, generate requirement traceability matrices and highlight rule deltas between CEM and SA‑CCR.
Identify data quality gaps via ML‑assisted techniques , detecting missing or inconsistent attributes (netting, CSA, MPOR, collateral), and uncovering capital leakage caused by poor mappings.
Support AI‑accelerated data discovery , applying pattern detection and profiling to reconcile capital efficiency with liquidity resilience.
Collaborate with stakeholders , engaging Risk, Treasury, CRO functions, Risk IT and trading teams to communicate findings, resolve issues and shape regulatory solutions.