Associate Director, Fraud Risk

Job Summary
This position is for an Associate Director with an advanced degree in a quantitative discipline; requires experience and proficiency in areas of statistics, applied mathematics, SAS/Python programming language and a good understanding of retail banking / small business lending businesses. The individual will use these skills in the development of Fraud Risk Models and Fraud Risk Analytics for Retail Portfolios.

Responsibilities

Qualifications:

Bachelors / Advanced (Masters or higher) Degree in Statistics, Applied Mathematics, Operations Research, Economics, Engineering or other quantitative discipline
Good understanding of retail banking / small business / consumer finance products and business life cycles (e.g. sales, underwriting, portfolio management, marketing, collections)
6-9 years of in-depth experience in hands-on Statistical Model Development in fraud risk/credit risk for retail banking / small business / consumer finance portfolios
Proficient in statistical programming skills in SAS (preferred) or similar (Python), strong analytical skills and understanding of quantitative and statistical analysis
Hands-on experience in mining data and understanding data patterns
Experience in directly interacting with Business and exposure to international markets will be a plus

Competencies:

Analytical / Strategic / Conceptual thinking
Ability multi-task between executing a project hands-on along with guiding/overseeing Associate Managers
Attention to detail
Problem solving
Verbal/Written communication
Presentation skills
Self-driven, highly motivated, organized and methodical
Strategy
Development of Fraud Risk models for Retail Portfolios.
Developing statistically derived predictive models, perform decision tree-based customer segmentation & profiling analyses, assist business implementation of Fraud Risk models to support Standard Chartered retail businesses across the globe.
Support Fraud Risk analytics related to Retail Portfolios
Business
Achieving assigned full year objectives as per annual P3 document
Enhancing relationship with stakeholders by providing analytical support
Processes
Ensure adherence to all internal and external regulations.
To embed Operational Risk monitoring as an integral part of the business process. Towards this, to effectively carry out the assigned role, if any, under Compliance Risk Management Assurance.
People & Talent
Mentor analysts and provide appropriate advice wherever required during model development
Risk Management
Monitor all major risk issues and concentrations. Where appropriate, direct remedial action and/or ensure adequate reporting to Risk Committees
Governance
Promote an environment where compliance with internal control functions and the external regulatory framework is a central priority of the business
Regulatory & Business Conduct
Display exemplary conduct and live by the Group’s Values and Code of Conduct.
Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.
Key stakeholders
Credit and Fraud Risk Heads
Other

Responsibilities
Embed Here for Good and Group’s brand and values

Qualifications:

Bachelors / Advanced (Masters or higher) Degree in Statistics, Applied Mathematics, Operations Research, Economics, Engineering or other quantitative discipline
Good understanding of retail banking / small business / consumer finance products and business life cycles (e.g. sales, underwriting, portfolio management, marketing, collections)
6-9 years of in-depth experience in hands-on Statistical Model Development in fraud risk/credit risk for retail banking / small business / consumer finance portfolios
Experience in Fraud Detection Modeling using machine learning algorithms to handle classification data with skewed class proportions
Proficient in statistical programming skills in SAS (preferred) or similar (Python), strong analytical skills and understanding of quantitative and statistical analysis
Hands-on experience in mining data and understanding data patterns
Experience in directly interacting with Business and exposure to international markets will be a plus

Competencies:

Analytical / Strategic / Conceptual thinking
Ability multi-task between executing a project hands-on along with guiding/overseeing Associate Managers
Attention to detail
Problem solving
Verbal/Written communication
Presentation skills
Self-driven, highly motivated, organized and methodical
Role Specific Technical Competencies
Statistical Modelling
SAS/Python
Verbal and Written Communication
Understanding of Retail Banking Products
About Standard Chartered
We're an international bank, nimble enough to act, big enough for impact. For more than 160 years, we've worked to make a positive…