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 yrs

Barclays Internal Audit, including internship

FRM · CIA

Risk and audit certifications from GARP and IIA

01 / Experience

Barclays

FEB 2024 — AUG 2026 · NEW YORK

Internal Audit · Model Risk and CCAR Stress Testing

Assistant Vice President, Model Risk Audit

PROMOTED FEB 2026

Assessed 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 2026

Audited 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 2023

Validated feeder-model data for regulatory reporting and reviewed capital hedge projections in Python and Excel.

Earlier experience

2017 — 2023

Business 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.

PYTHON

Options 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.

PYTHON

04 / Background

Certifications
FRM · GARPCIA · IIA
Tools
PythonSQLAdvanced Excel

Baruch College, CUNY

BBA, Statistics & Quantitative Modeling
Zicklin School of Business · 2023

Languages

English · Russian · Tatar

05 / Contact

Hiring for risk or audit?
Let’s talk.

New York. Open to relocation.

ainur.arslanov1@gmail.com