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Credit Risk Policy Analyst

Chandler Macleod Group

Job Description

Credit Risk Policy AnalystChandler Macleod Group–Sydney NSW

Casual/Temporary, ContractAbout 8 hours ago, from seek.com.auJob Purpose: This is a key position within the Unsecured Risk team responsible for analytics to manage policies and product risk for our client’s Credit Card portfolio’s.

Job Background / Context: This role has high visibility which requires interaction with product, marketing, decision management, finance, credit operations and risk stakeholders at a local/regional level while delivering proactive insights and strategies to manage credit losses within Citi’s Risk appetite framework.

Key Responsibilities:

Identify opportunities for further enhancement of strategies for growing the portfolio by carrying out analytics projects with business risk /rewards perspective

Develop, maintain and manage credit policies to provide optimal risk and reward trade-off

Track portfolio trends and initiate timely control actions

Liaise with internal stakeholders and keep them abreast of credit performance and proactively drive actions, as necessary. Ensure clear communication of priorities/deliverables to manage expectations

Responsible for portfolio performance in line with forecasts

Interact with Product and Marketing teams for launch approval of new campaigns

Work with credit operations unit for implementation and governance of credit policies

Assess and revise Cards risk appetite framework including development of appropriate benchmarks, initiate champion/challenger initiatives to test boundaries while maintaining healthy risk returns

Ensure timely completion of regional deliverables including performance monitoring, portfolio quality review and any other ad hoc deliverable

Knowledge/Experience:

Minimum of 2+years in a similar role

Strong analytical and data mining techniques - SAS programming, decision tree tools and advanced Excel

Applies numerical and analytical skills to support ideas and portfolio performance

Use knowledge of business when conducting analytics

Data mining skills to a high level of complexity

Applies complex models to measure risk

Qualifications:

University degree

Quantitative Academic qualification preferred

Strong influencing and negotiation skills

Ability to multitask and manage portfolios with minimal supervision

Strong organisational skills; planning, follow-up, execution skills to drive intended results in a high-pressure environment

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