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Quantitative Risk Analyst

1 month ago

Singapore APAR TECHNOLOGIES PTE. LTD. Full time
Roles & Responsibilities

Job Summary:

We are seeking an experienced Quantitative Risk Analyst / Senior Risk Modelerwith 8-10 years of experience in banking industry initiatives, specializing in credit risk, liquidity risk, IFRS 9, and the BASEL framework. The ideal candidate will have a strong quantitative background and hands-on expertise in developing and maintaining statistical models, loss forecasting, and econometric modeling to support risk assessment and regulatory compliance.

Key Responsibilities:

  • Develop, implement, and maintain quantitative risk models for credit and liquidity risk, including loss forecasting and loan loss reserve modeling.
  • Lead and execute model development and performance tracking within an econometric modeling-driven stress loss process.
  • Work with advanced tools and technologies such as Kubernetes (K8), Apache Spark, Python, Java, LIT, GraphQL, and full-stack development to enhance modeling frameworks.
  • Conduct statistical analysis and econometric modeling using SAS, R, VBA macros, and time series analysis.
  • Collaborate with internal teams, business leads, external regulators (e.g., FRB, OCC, FDIC), and internal audit functions to ensure model accuracy, compliance, and risk mitigation.
  • Communicate complex quantitative findings through reports and presentations to senior stakeholders.
  • Coordinate with vendors, suppliers, and consulting partners to optimize analytic solutions and ensure best practices in risk modeling.

Requirements:

  • 8-10 years of experience in the banking industry with a focus on risk modeling and analytics.
  • Strong expertise in credit risk, liquidity risk, IFRS 9, and BASEL framework.
  • Bachelor's or Master's degree in Statistics, Mathematics, Operations Research, Economics, or a related quantitative field.
  • 4-6 years of experience in developing and maintaining quantitative analysis, statistical modeling, and loss forecasting.
  • Proficiency in K8, Spark, Python, Java, LIT, GraphQL, and full-stack technologies.
  • Experience in SAS, R, VBA macro, time series analysis, and trend analysis.
  • Strong communication skills with the ability to present complex findings to business leads, regulators, and internal/external stakeholders.

Preferred Qualifications:

  • Experience working with regulatory agencies such as FRB, OCC, or FDIC.
  • Prior experience in leading and coordinating with external vendors/consultants for analytic solutions.
  • Hands-on experience with tolerance limits and stress testing methodologies.

EA License: R1873481

Company EA License: 11C4879

Tell employers what skills you have

credit risk assessment
IFRS
Forecasting
Liquidity Risk
Kubernetes
Modeling
Tolerance
Mathematics
Operations Research
VBA
Basel III
Economics
Spark
Python
Banking
Statistics
Consulting
Java
Credit Risk
C++