Credit Risk Senior Associate at KPMG

, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

15 Sep, 26

Salary

0.0

Posted On

17 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Credit Risk Management, Credit Modeling, Python, R, Matlab, SAS, IFRS 9, BCBS 239, Basel III/IV, ICAAP, Stress Testing, RPA, Machine Learning, Natural Language Processing, APIs, Gap Analysis

Industry

Business Consulting and Services

Description

Job Description The financial services landscape is evolving at an unprecedented pace of change and KPMG is at the heart of this change. At KPMG, you will work across a broad range of financial institutions, including private banks, commercial banks, digital banks, capital markets intermediaries, payment services providers, and fintechs. Our global network of experienced professionals offer tailored services to clients and provide deep industry knowledge, insightful opinions, and technology-enabled delivery to help improve processes, governance and strategy to address financial and operational risks and drive business performance. You will help financial institutions enhance performance, enable better decision-making and satisfy compliance demands by shaping their risk strategy, improving risk-adjusted performance and implementing pragmatic recommendations. You would be expected to contribute in the following ways: Working closely with the Managers / Senior Managers on with a focus on Credit Risk (experience in other risk and regulatory domains is a plus) Working with large financial institutions to design and implement solutions that digitise credit origination processes for Corporate / Commercial / Retail loans and digitise internal risk and compliance procedures using various technologies like RPA, machine learning, natural language processing and APIs Working with financial services clients to assist them in performing gap analysis, implementation or quality assurance on critical risk and regulatory change initiatives Working with clients to understand and analyse their credit portfolios, underlying risks and risk factors to then formulate approaches to develop appropriate credit models Development and validation of credit models (PD, LGD, EAD) using statistical methods and the relevant analytical tools Ensuring engagement with the client, including presentations and discussions with senior management, to showcase intermediate and final outputs of work-products as well as address on-going queries Experience and skills required: Bachelor’s Degree in Mathematics, Physics, Engineering, Computer Science, Finance, Statistics or Economics At least 2-3 years of relevant working experience Sound experience in relevant regulatory topics – incl. but not limited to IFRS 9, BCBS 239, Basel III / IV, ICAAP, Stress Testing Excellent knowledge of one of the programming languages - Python, R, Matlab or SAS Possess strong communication, analytical and problem-solving skills with the ability to work independently #LI-FM1

Responsibilities

Design and implement digitized credit origination processes and internal risk procedures for various financial institutions. Develop and validate credit models (PD, LGD, EAD) while performing gap analysis on regulatory change initiatives.