OPEN TO ROLES · NEW YORK · RELOCATION OK
Ainur Arslanov
Model risk · Governance · Quantitative audit
Independent model re-performance. Clear, evidence-based challenge. FRM and CIA with three years of Barclays audit experience, spanning data quality, model governance and performance monitoring.
$147B+Markets and consumer lending portfolios covered
3 yrsBarclays Internal Audit, including internship
FRM · CIARisk and audit certifications from GARP and IIA
01 / Experience
Barclays
FEB 2024 — AUG 2026 · NEW YORKInternal Audit · Model Risk and CCAR Stress Testing
Assistant Vice President, Model Risk Audit
PROMOTED FEB 2026Assessed firm-wide model inventory and lifecycle governance. Led audit testing of machine-learning monitoring for fraud and scam decisioning, independently reproducing performance metrics in Python and Excel.
Challenged KPI design, thresholds and exception governance, and reviewed stress-loss methodology for loan commitments.
Analyst, CCAR Stress Testing
FEB 2024 — FEB 2026Audited counterparty exposure, credit risk and scenario expansion models. Reproduced yield-curve calibrations and tested risk quantification across $114B+ in Markets assets and $33B in consumer lending.
Validated model inputs, outputs and data lineage for capital adequacy and impairment forecasting.
Summer Analyst, CCAR · Barclays
JUN — AUG 2023Validated feeder-model data for regulatory reporting and reviewed capital hedge projections in Python and Excel.
Earlier experience
2017 — 2023Business Analyst / Assistant, CUNY Graduate Center. Operations Manager, Thornton Classic Studios: led ten staff and cut operations time by 30% through reporting and automation.
02 / Focus
A
Model governance
Inventory, risk tiering, validation challenge, monitoring and remediation.
B
Risk models
Market and counterparty credit risk, PD / LGD / EAD and stress testing.
C
Re-performance
Python analysis, SQL, source-to-output reconciliation and data lineage.
03 / Projects
Personal projects built with AI assistance and coding agents, combining Python development with risk and audit knowledge.
Portfolio risk engine
A Python toolkit for exploring value at risk, stress scenarios and exposures across a multi-asset portfolio. Brings portfolio risk measures together to examine how a book responds to changing market conditions.
Built with AI assistance & coding agents.
PYTHONOptions analytics
Python tools for option pricing, Greeks and strategy screening. Uses price and sensitivity analysis to compare options strategies and examine how their risk changes with market inputs.
Built with AI assistance & coding agents.
PYTHON04 / Background
Certifications
FRM · GARPCIA · IIA
Tools
PythonSQLAdvanced Excel
Baruch College, CUNY
BBA, Statistics & Quantitative Modeling
Zicklin School of Business · 2023
Languages
English · Russian · Tatar