Hiring.Camp

AVP/VP, Lead Analyst/Senior Lead Analyst, Credit Risk Modelling

Ocbc

·

Today

Location
SGP-Head Office, Singapore
Workplace
Hybrid
Type
Full-time
Seniority
Senior
Source
Workday

Description

WHO WE ARE:

As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.

 Today, we’re on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia’s leading financial services partner for a sustainable future.

 We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career.

Your Opportunity Starts Here.

Why Join

Excellent opportunity for an experienced credit risk professional to join a high-performing and evolving Risk Portfolio Management (‘RPM’) function. RPM comprises of a broad range of functions primarily focused on credit portfolio management across banking subsidiaries within OCBC Group. This position is under the Credit Risk Modelling (“CRM”) team within RPM.

CRM is a high-profile, multi-disciplinary risk analytics team that covers credit risk models at OCBC Group. The key functions CRM performs include developing, implementing and managing various types of credit risk models, such as Credit risk Scorecards, Internal Rating models, IFRS 9 based Expected Credit Loss models, Credit Stress Testing models, Economic Capital models and Machine Learning models that support Group’s credit risk measurement. These models are embedded in credit underwriting, customer selection, limit setting, early warning and problem recognition, as well as assessment of capital and provision adequacy.

How you succeed

To succeed in this role, you'll need to combine technical expertise with business acumen. You'll work closely with stakeholders to understand business needs, develop and implement credit risk models, and provide insights that drive decision-making. Your ability to balance technical complexity with business relevance will be key to your success.

What you do

  • Develop, implement, and maintain various types of credit risk models supporting the Wholesale segments (Corporate, Bank, Sovereign etc.) of the Group.

  • Monitor, back-test and report performance of the models to ensure adherence to performance standards and early detection of weaknesses.

  • Develop and maintain user requirements, parameters and configurations of systems housing the models.

  • Develop in-depth expertise in credit risk modelling methodologies.

  • Work closely with independent model validators to ensure compliance to model governance framework and timely closure of validation findings.

  • Engage with auditors and regulators to ensure compliance with relevant requirements.

  • Engage with various stakeholders to develop analytical solutions using model outputs in credit decisioning, business strategies, allowance, and capital assessment.

Who you are

  • Degree in Quantitative/Financial discipline, such as Accounting, Finance, Economics, Mathematics, or equivalent professional certifications.

  • At least 7-10 years and 5-7 years of relevant experience in a related area for Senior Lead Analyst and Lead Analyst respectively.

  • Experience in conducting credit analysis / credit risk management of Wholesale portfolios, familiarity and use of external rating / market-based indicators will be an advantage.

  • Analytical and independent thinker with strong written and verbal communication skills.

  • Ability to interact and communicate effectively with senior management.

  • Strong computational skills, preferably in SAS, SQL, Python etc. with experience in handling data and performing quantitative analysis.

  • Good understanding of Basel III, IFRS regulations and credit products.

  • Experience in credit analysis, risk analytics or credit risk management in wholesale or consumer portfolios will be an advantage.

What we offer:


Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.

Skills

PythonSQLMachine LearningIFRSUnderwritingRisk ManagementCompliance