Financial Risk Analyst

Boost Bank; Kuala Lumpur; In loco; MYR 60.000 - 110.000; Tempo pieno

Descrizione del lavoro

Boost Bank in Kuala Lumpur seeks a Risk Analyst to support the Financial Risk Management function by monitoring, analyzing, and reporting the bank’s risk profile to comply with regulatory requirements such as BNM/Basel and internal risk appetite.

You will assist in monitoring exposures across liquidity, market, capital, and credit risk; prepare risk reports and dashboards for internal stakeholders; track limits and escalate breaches; and help automate routine reports using Excel, SQL, or Python,

Competenze

• Bachelor’s degree in a relevant field as listed.
• 2+ years of experience in banking, finance, risk or analytics.
• Knowledge of risk identification, assessment and frameworks.
• Basic understanding of liquidity, market and credit risk.
• Strong Excel skills (pivot tables, formulas; VBA/SQL/Python a plus).
• Statistical software coding skills are an advantage.
• Willingness to learn and take guidance.
• Ability to work in a team and meet deadlines.
• Ability to analyze data and identify trends or inconsistencies.

Mansioni

• Assist in monitoring risk exposures across liquidity, market, capital and credit risk.
• Support preparation of risk reports, dashboards, and presentations for internal stakeholders.
• Track risk limits and escalate breaches or irregularities.
• Assist in gathering and validating data for regulatory reporting (BNM submissions).
• Perform risk analysis (trend analysis, variance analysis, stress scenario inputs).
• Support maintenance of risk models, templates, and documentation.
• Participate in risk reviews, audits, and compliance checks.
• Collaborate with business units to collect required data and clarify risk-related information.
• Assist in automating routine risk reports and data processes using Excel, SQL, or other analytics tools.
• Perform scenario testing or stress testing based on the bank’s framework.
• Maintain accurate records and ensure data quality.

Conoscenze

Excel

SQL

Python

VBA

Data analysis

Formazione

Bachelor's degree in Actuarial Science, Econometrics, Statistics, Mathematics, Economics, Finance

Strumenti

SQL

Python

Excel

Descrizione del lavoro

Support the Financial Risk Management function in monitoring, analyzing, and reporting the Bank’s risk profile to ensure compliance with regulatory requirements (e.g., BNM/Basel) and internal risk appetite

Key Responsibilities:

• Assist in monitoring financial risk exposures, including liquidity risk, market risk, capital management, and credit risk.
• Support the preparation of risk reports, dashboards, and presentations for internal stakeholders.
• Track risk limits and early warning indicators; escal​e breaches or irregularities.
• Assist in gathering and validating data for regulatory reporting (e.g., BNM submissions).
• Perform risk analysis (trend analysis, variance analysis, stress scenario inputs).
• Support maintenance of risk models, templates, and documentation.
• Participate in risk reviews, audits, and compliance checks.
• Collaborate with business units to collect required data and clarify risk-related information.
• Assist in automating routine risk reports and data processes using tools such as Excel, SQL, or other analytics tools
• Perform scenario testing or stress testing based on the bank’s framework
• Maintain accurate records and ensure data quality

Job Requirements & Criteria:

• At least a bachelor’s degree in Actuarial Science, Econometrics, Statistics, Mathematics, Economics, Finance or any relevant fields.
• More than 2 years of experience in banking, finance, risk, or analytics
• Knowledge of risk identification, assessment, and frameworks.
• Basic understanding of financial risk types (Liquidity Risk, Market Risk & Credit Risk)
• Strong Excel skills (pivot tables, basic formulas; bonus: VBA, Python, or SQL).
• Statistical software coding skills will be added advantage
• Willingness to learn and take guidance.
• Ability to work in a team and meet deadline
• Ability to analyze data and identify trends or inconsistencies.