Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.
Design and calibrate risk rules and decision frameworks for fraud and credit risk mitigation across e-wallet products, including merchant risk monitoring and BNPL onboarding assessments.
Leverage AI-powered tools (e.g., LLM assistants, AI code copilots, generative AI) as part of the day-to-day analytics and modelling workflow — from exploratory data analysis and feature engineering to report generation and documentation.
Analyze large-scale transaction datasets to uncover fraud patterns, merchant risk indicators, and anomalous user behaviours using SQL-based analytics on cloud data platforms....
Drive end-to-end business analysis across data management, Microsoft Azure-based data services, analytics, Power BI and Gen AI initiatives, translating business needs into clear and actionable requirements that enable successful delivery.
Engage business stakeholders to define scope, clarify objectives and map current-state processes, creating the foundation for aligned and achievable delivery outcomes. Lead workshops, interviews and solution-design discussions that unite business users, product owners, data engineers, architects and vendors, driving meaningful cross-functional alignment.
Produce high-quality documentation including business requirements, functional specifications, user stories, acceptance criteria, process flows and decision logs that serve as the single source of truth for delivery teams....
Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.
Drive innovation, identify risks and gain insights across the bank’s audit risk areas using analytics.
Contribute to the design, development, testing and documentation of analytical procedures (includes data sourcing, data preparation, data transformation, and modelling) to assist in population and scoping analysis, sampling, testing, and issue impact justification
Contribute to the design and implementation of effective continuous monitoring and auditing strategies...
Support the project teams in applying emerging technologies to help our clients maximize the value of their data by generating actionable insights that provide real business outcomes.
Together with the consulting team, design and implement data structures to support Big Data, Analytical models and traditional BI/DW reporting solutions using technologies such as Microsoft SQL, Oracle, SAP, Cloudera, IBM Watsons, MuleSoft, Qlik Technologies or Informatica.
Provide support in designing and developing data integration using Data Governance, Data Quality, MDM and Metadata management....
Drive end-to-end business analysis across data management, Microsoft Azure-based data services, analytics, Power BI and Gen AI initiatives, translating business needs into clear and actionable requirements that enable successful delivery.
Engage business stakeholders to define scope, clarify objectives and map current-state processes, creating the foundation for aligned and achievable delivery outcomes. Lead workshops, interviews and solution-design discussions that unite business users, product owners, data engineers, architects and vendors, driving meaningful cross-functional alignment.
Produce high-quality documentation including business requirements, functional specifications, user stories, acceptance criteria, process flows and decision logs that serve as the single source of truth for delivery teams....
To be part of the data science team to deliver analytical work with business execution that contribute to business growth, customer experience, productivity and optimizes efficiencies.
Create valuable best practices that can be replicated in other markets.
To produce best practice analytics solutions to support business decisions with measurable success to drive business growth and effectiveness....
Analyze end-to-end Customer Service performance across self-service, AI/bot and human-assisted channels, including contact volume, self-service and bot resolution, transfer rate, drop-off rate, SLA, response/resolution time, CSAT/DSAT, backlog and productivity.
Evaluate self-service and bot performance to identify where customers successfully resolve issues, where journeys break down, and where customers are transferred to human support.
Identify trends, operational gaps, customer pain points and root causes across brands, markets, channels and contact reasons/intents....