Assistant Manager Fraud Analytics

Overview

Gather, analyse and present risk data clearly to stakeholders across the organisation, supporting informed decision-making, risk mitigation and regulatory compliance.

What you'll do

• Develop and maintain a variety of risk reports, including credit, market, operational and liquidity risk reports, and regulatory reports.
• Extract risk data from various sources, including internal systems, risk models and external market data feeds.
• Analyse risk data to identify trends, patterns and outliers, and assess the impact of risk exposures.
• Monitor key risk indicators and metrics to identify emerging risks and track the effectiveness of risk mitigation strategies.
• Develop and implement risk reporting improvements and automation initiatives.
• Implement data quality processes and procedures, ensuring data is reliable and trustworthy.
• Extract actionable insights from data to help the organisation improve its operations and optimise resources.
• Investigate and analyse data issues related to quality, lineage, controls and authoritative source identification.
• Design and build data pipelines to automate data movement and processing.
• Lead and supervise a team, guiding and supporting professional development, allocating work and coordinating team resources.
• Escalate breaches of policies or procedures appropriately, and take responsibility for embedding new policies and procedures adopted for risk mitigation.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to.
• Act as a contact point for stakeholders outside the immediate function, and build a network of contacts inside and outside the organisation.

What you'll need

• Expertise in SQL, SAS, data analytics and reporting.
• Excellent communication and interpersonal skills to communicate with stakeholders, build relationships and present findings.
• Strong analytical skills to interpret complex data quickly and make informed decisions in a fast-paced environment.
• Proficiency in designing and building data pipelines to automate data movement and processing.
• Ability to investigate and analyse data issues related to quality, lineage, controls and authoritative source identification.

Nice to have

• Effective communication and presentation skills.
• Experience in data privacy, governance, reporting and risk management, preferably in a financial services organisation.
• Proficiency in MS Office (PowerPoint, Excel, Word and Visio).
• Dashboard visualisation and Tableau or Power BI skills.
• Comprehensive understanding of risk, governance and control frameworks and processes.
• Understanding of data privacy policies and standards.
• Ability to analyse, interpret and work robustly with others to identify issues and develop proposed solutions.

Details

• Location: Noida, Candor TechSpace.