Raunaq Bhalla

Operations Associate

Toronto, Ontario, Canada3 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in credit risk modeling and analytics.
Proven track record of enhancing financial resilience.
Skilled in integrating advanced analytics with regulatory compliance.

Stackforce AI infers this person is a Fintech expert specializing in data-driven risk management and analytics.

Contact

Skills

Core Skills

Credit Risk ManagementRisk AnalyticsData AnalyticsRisk AnalysisData ScienceMachine Learning

Other Skills

Apache AirflowArtificial Intelligence (AI)Business StrategyCredit Risk ModelingData AnalysisData CleaningData EthicsData VisualizationDatabasesDeep LearningGame TheoryIFRS 9LeadershipManagementMySQL

About

Passionate about the intersection of data, risk, and financial strategy, I specialize in credit risk modeling, IFRS 9 provisioning, and advanced analytics to drive smarter, data-backed decision-making in banking. With a strong background in statistical modeling, machine learning, and financial analytics, I help institutions optimize provisioning, enhance risk assessment, and stay ahead of regulatory requirements. At Scotiabank, I work at the forefront of retail provisions analytics, designing and implementing end-to-end Expected Credit Loss (ECL) models for global portfolios. From integrating Forward-Looking Information (FLI) to conducting Expert Credit Judgment (ECJ) assessments, I translate complex risk metrics into actionable insights that strengthen financial resilience.

Experience

Scotiabank

Manager, Retail Provisions Quantitative Analytics

Jan 2024 – Present · 2 yrs 2 mos · Toronto, Ontario, Canada

Designed, tested, and implemented robust statistical codes for end-to-end Expected Credit Loss (ECL) generation, ensuring accuracy in provisioning methodologies across Canadian and International Banking (Panama, Costa Rica, Peru, Caribbean, and Chile) portfolios.
Led the integration of Forward-Looking Information (FLI) and Significant Increase in Credit Risk (SICR) into End-User-Code (EUC) ECL calculations, optimizing provisioning estimation for retail lending portfolios while ensuring compliance with IFRS 9 standards.
Conducted in-depth model variance investigations, refining Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) estimates to enhance credit risk assessment accuracy.
Partnered with IFRS 9 teams to validate model outputs, integrate FLI model results into impairment estimates, and ensure regulatory alignment through rigorous documentation and testing.
Conducted ECJ evaluations to refine provisioning estimates, incorporating expert insights into model adjustments to enhance risk assessment and regulatory alignment.

Statistical ModelingCredit Risk ModelingIFRS 9Risk AssessmentData AnalyticsCredit Risk Management+1

Hsbc

Analyst, Global Banking and Markets

Jul 2022 – Aug 2023 · 1 yr 1 mo · Toronto, Ontario, Canada

Prototyped the usage of PySpark graphical data storage in place of conventional DataFrames
to gauge the viability of motif queries for purposes of entity resolution that resulted in a 0.75
resolution score.
Engineered internal Python pipelines that leverage Apache Airflow to schedule and deploy
highly scalable capital markets dividend repatriation shell scripts, supporting a significant
increase in annual revenue from $20M to $80M while working with teams across Canada, UK,
and India.
Streamlined data ethics risk forecasting process by implementing an automated evaluator
utilizing Microsoft Excel and Tableau that reduced human involvement from 15 to 2 minutes
while ensuring uniformity across assessments.

PySparkPythonApache AirflowData EthicsTableauData Analytics+1

Td

Data Scientist Co-Op

Jan 2022 – Jun 2022 · 5 mos · Toronto, Ontario, Canada

Led a comprehensive overhaul of a tiering system within the Wills Bank, replacing a business
rules approach with a scalable Machine Learning Algorithm-based propensity model system
that facilitated a 60% increase in capacity planning efficiency for Relationship Managers.
Employed Advanced Analytics and Machine Learning algorithms to effectively address class
imbalance and data leakage challenges, achieving a test area under curve (AUC) of 89%.
Designed an interactive business intelligence Tableau dashboard for TD Trust officers,
enabling accurate identification of clients with high conversion potential and increasing the
overall estimated revenue by 8%.

Machine LearningData ScienceTableauStatistical Analysis

Indus insights

Associate Consultant

Oct 2020 – Jan 2021 · 3 mos · Gurugram, Haryana, India

Utilized SQL and R-Programming to build and deploy a credit risk model for Standard
Chartered Bank’s Asia Pacific mid-corporate portfolio that achieved an AUC of 94%, as
compared to the desired benchmark of 90%.
Partnered with Oliver Wyman on analytical consulting aspects to approach senior stakeholders
for conversations regarding the relationship between market variables and expected losses
(PD, EAD, LGD).

SQLR ProgrammingCredit Risk ModelingCredit Risk ManagementRisk Analysis