Tanvi Chaudhary

Data Scientist

Delhi, India2 yrs 9 mos experience

Key Highlights

Expert in automating risk analytics processes.
Proven track record in developing machine learning models.
Strong background in regulatory compliance and risk management.

Stackforce AI infers this person is a Fintech expert with a strong focus on risk analytics and automation.

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Skills

Core Skills

Risk ModelingMachine LearningCounterparty RiskData Visualization

Other Skills

PythonSQLPower BIData QualityAgile MethodologiesExcelTableauMicrosoft OfficeCross-functional CollaborationsMarket RiskStress TestingSACCRLoss Given Default (LGD)Probability of DefaultEAD

About

🔹 Turning Quantitative Analytics into Impact I specialize in quantitative analysis, risk analytics, data science and data visualisation using tools like Python, SQL and Power BI to automate workflows, enhance governance frameworks, development and validation of models and deliver analytical insights that drive strategic decisions. My experience spans the development and validation of quantitative models that strengthen risk management, regulatory compliance and business performance. Currently working at Deloitte as Deputy Manager (Risk Quant | Regulatory & Financial Risk), where I focus on developing and validating machine learning driven quantitative models across diverse risk domains, applying advanced statistical, mathematical and Al techniques to strengthen model performance and regulatory compliance. Previously, I worked as Risk Analytics Consultant (Assistant Vice President) at Wells Fargo within the Counterparty Credit Risk team, where I focused on the Standardized Approach for Counterparty Credit Risk (SA-CCR) and capital computation, automating exposure and risk metric processes such as CECL, CCAR, EAD, RWA, PFE, CVA, PD and LGD, reducing manual effort by 90% and improving data quality through Root Cause Analysis (RCA). Earlier at Amazon, I contributed as a Business Analyst Intern, applying data-driven forecasting to optimize workforce planning and resource allocation. I'm passionate about applying quantitative methods and analytics to solve complex challenges, streamline decision-making and create measurable business impact. Eager to connect and talk about data, automation, finance and risk analytics!

Experience

2 yrs 9 mos

Total Experience

Average Tenure

Current Experience

Deloitte

Deputy Manager - Data Scientist | Regulatory & Financial Risk

Nov 2025 – Present · 7 mos · Hyderabad, Telangana, India · Hybrid

PythonSQLMachine LearningData VisualizationRisk Modeling

Wells fargo

2 roles

Risk Analytics Consultant (AVP)

Promoted

Aug 2024 – Oct 2025 · 1 yr 2 mos · Hyderabad, Telangana, India

Expertise in Counterparty Credit Risk (CCR) and Standardized Approach for Counterparty Credit Risk (SACCR). Experience in computing Exposure at Default (EAD), Risk-Weighted Assets (RWA), Potential Future Exposure (PFE), Credit Valuation Adjustment (CVA), Default Risk Charge (DRC), Probability of Default (PD), and Loss Given Default (LGD).
Automated risk exposure and capital computation workflows using Python and SQL, reducing manual effort by 90% and significantly improving accuracy for regulatory capital reporting. Built dashboards in Power BI and Excel to visualize RWA, CVA, PD, LGD, and other risk metrics, enabling faster and more informed decision-making. Led Root Cause Analysis (RCA) to identify and fix over 95% of critical data issues, enhancing data quality and reconciliation.
Automated 10+ recurring manual processes, saving 50+ hours/month, and improved operational efficiency by reducing report generation time from 3 hours to 5 minutes via Python pipelines. Implemented secure authentication mechanisms, replacing token-based systems to meet data protection standards.
Experienced in Agile methodology, with a track record of collaborating with product owners, risk managers, and data governance teams to iteratively enhance reporting frameworks, data pipelines, and risk analytics processes. Adept at stakeholder communication, data validation, and regulatory reporting in high-stakes environments.

PythonSQLPower BIData QualityAgile MethodologiesCounterparty Risk+1