Summary
Overview
Work History
Education
Skills
Languages
Details
Timeline
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MERCINE JASI

MERCINE JASI

Harare

Summary

Dynamic and results-oriented financial risk professional with over 3 years of experience in quantitative risk modeling and validation. Specializing in credit risk (IFRS 9), market risk (IRRBB), economic capital, and financial asset valuation, including loan pricing models. Proven expertise in validating and implementing advanced financial models, such as IFRS 9 Expected Credit Loss (ECL) frameworks, ensuring regulatory compliance and adherence to industry best practices.


Skilled in leading cross-functional collaborations and effectively engaging with senior stakeholders to refine risk strategies and deliver actionable insights. Strong technical proficiency in statistical methodologies and programming, enabling robust model validation processes, including stress testing, backtesting, and identifying model vulnerabilities. Adept at enhancing risk management frameworks to support strategic decision-making, optimize capital allocation, and improve valuation accuracy for financial instruments.

Overview

5
5
years of professional experience

Work History

Group Risk and Analytics Manager

CBZ Holdings
08.2024 - Current
  • Driving the automation of model development, backtesting, and calibration workflows, significantly improving efficiency, reducing manual interventions, and ensuring seamless execution of risk modeling processes.
  • Providing strategic leadership and mentorship to team members on best practices for model development, validation, and regulatory compliance, fostering a culture of continuous improvement and innovation.
  • Ensuring the rigor and accuracy of financial risk models (PD, LGD, EAD) through comprehensive validation, backtesting, and alignment with industry standards and regulatory expectations.
  • Collaborating with senior stakeholders and cross-functional teams to effectively communicate validation findings, document methodologies, and implement enhancements to improve model robustness and reliability.
  • Overseeing scenario analysis and stress testing for credit risk models, enabling proactive risk management and ensuring alignment with macroeconomic changes and strategic objectives.
  • Leading the calibration of loan pricing and valuation models to account for dynamic macroeconomic conditions, enhancing pricing accuracy and financial decision-making.

Financial Risk Modelling Analyst

CBZ Holdings
01.2022 - 08.2024
  • Performed data cleaning and preparation to ensure the accuracy and reliability of datasets for modeling capital requirements, loan pricing, and economic capital assessments, adhering to best practices in data management.
  • Conducted model calibrations and validations under supervision, leveraging advanced tools such as R and Python to support IFRS 9 Expected Credit Loss (ECL) models and market risk models, including IRRBB.
  • Developed and maintained comprehensive model documentation in line with governance frameworks, ensuring regulatory compliance and facilitating effective reviews.
  • Executed validation of market risk models (IRRBB) and credit risk models, including backtesting, sensitivity analysis, and scenario evaluation to assess model robustness and alignment with industry standards.
  • Prepared detailed governance reports to fulfill regulatory and organizational requirements, presenting model performance insights and validation outcomes to key stakeholders.
  • Performed scenario and stress testing analyses to assess the impact of macroeconomic shifts on credit risk parameters (PD, LGD, EAD) and loan pricing models, enabling proactive adjustments to risk strategies.
  • Collaborated on economic capital modeling efforts, ensuring accurate representation of risk exposures and supporting strategic decision-making processes.

Model Validator

ZIMNAT
10.2021 - 11.2021
  • Validating Probability of Default (PD) models across different asset classes or portfolios, ensuring alignment with IFRS 9 ECL modeling requirements and regulatory standards.
  • Assessing Loss Given Default (LGD) models developed using logistic regression for various loan or credit exposure types, ensuring robustness and adherence to industry best practices.
  • Conducting independent scenario analysis to evaluate the impact of macroeconomic or stress scenarios on credit risk parameters, including PD, LGD, and EAD, and verifying the accuracy of model outcomes.
  • Reviewing and challenging the calibration of PD, LGD, and EAD models by benchmarking against historical data, industry practices, and observed outcomes.
  • Executing comprehensive backtesting exercises to evaluate model performance, ensuring that validation findings support model reliability and accuracy under diverse conditions.
  • Documenting validation methodologies and preparing detailed reports for regulatory compliance, collaborating with stakeholders to provide independent assessments, and recommending actionable enhancements to improve model performance.

Credit Analyst

Zimbabwe Asset Management Company
08.2019 - 08.2020
  • Conducted in-depth analysis of financial statements and credit reports of potential borrowers to assess credit risk and determine creditworthiness using key financial ratios, cash flow analysis, and collateral evaluations.
  • Evaluated industry trends and macroeconomic factors impacting borrowers' repayment ability, enabling proactive risk assessments and portfolio monitoring.
  • Prepared comprehensive credit memorandums and reports with actionable recommendations on new loan applications, presenting findings and risk assessments to credit committees for decision-making.
  • Assisted in loan pricing and structuring, negotiating terms to achieve an optimal risk-return balance while ensuring alignment with organizational objectives.
  • Reviewed and monitored collateral valuations and insurance, ensuring adequate coverage throughout the loan lifecycle and proactively addressing potential risks as loans amortized.
  • Compiled portfolio-level risk data and metrics, producing detailed management reports on portfolio quality, trends, and key risk indicators.
  • Stayed updated on industry and macroeconomic developments through continuous training and research, applying insights to improve risk assessments and decision-making processes.

Education

Masters - Data Science

University of East London
01.2025

Bachelor of Technology Honours Degree - Financial Engineering

Harare Institute of Technology
08.2021

Skills

  • Microsoft Office
  • Python
  • R
  • Quantitative Analytics
  • Statistics
  • Machine Learning

Languages

English
Shona

Details

Harare, Harare, +263775744590, mercinemunyaradzi@gmail.com

Timeline

Group Risk and Analytics Manager

CBZ Holdings
08.2024 - Current

Financial Risk Modelling Analyst

CBZ Holdings
01.2022 - 08.2024

Model Validator

ZIMNAT
10.2021 - 11.2021

Credit Analyst

Zimbabwe Asset Management Company
08.2019 - 08.2020

Bachelor of Technology Honours Degree - Financial Engineering

Harare Institute of Technology

Masters - Data Science

University of East London
MERCINE JASI