Manager - Risk & Fraud Analysis - FMCG/Retail

Job Description :

- Work with business / function Heads to identify critical problem statements in the area of fraud and risk management across internal operations, suppliers and customers

- Analysis and detection of fraud trends and patterns across multiple functional areas including store and vendor operations, payment channels etc. to mitigate risk through preventive actions

- In partnership with company's Risk and Controls team, facilitate and lead assessment of current processes including internal and external benchmarking and performance measurement

- Partner with data management and engineering teams to frame data requirements and identify optimal approach to access data required to solve specific problems

- Identify external data sources and directly or indirectly establish means for access to that data to enrich overall datasets

- In partnership with Risk & Controls and business teams, develop hypotheses and align on analytical and process improvement approaches

- Conceptualize and execute end-to-end data analytics (including advanced AI/ML based tools and techniques) and process improvement projects to deliver actionable insights that can inform business decisions

- Develop new metrics and measurements that enable faster decisions including pattern detection and prediction of fraud across internal operations, suppliers and customers

- Identify correlations and root causes along with programs and methodologies for analysing and presenting data

- Lead and facilitate efforts to promote ideation and instill a culture of continuous improvement throughout the organisation

- Facilitate sharing and implementation of best practices from within and outside the organisation

QUALIFICATIONS & EXPERIENCE :

Qualification :

- B. Tech / MBA, Certified Six Sigma Black Belt (Recognised institute like ASQ, Motorola etc.)

- 5 - 10 years experience in successful implementation of large projects in the area of risk management and fraud analytics in consumer industries

- Experience with data analytics tools used such as Minitab, MS Visio, MS project, R, SAS, Tableau etc.