Description
We are seeking a Transaction Monitoring Analytics - Assistant Vice President to join our team in Gurugram, DLF Downtown.
Purpose of the Role The successful candidate will enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports.
Accountabilities
- Investigate and analyse data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement.
- Design and build data pipelines to automate data movement and processing.
- Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.
- Translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements.
- Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs.
Assistant Vice President Expectations
- Advise and influence decision making, contribute to policy development, and take responsibility for operational effectiveness.
- Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver on work that impacts the whole business function.
- Demonstrate leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard.
Requirements
- Experience with analytical tools for data exploration, analysis, and visualisation, including SQL, Scala/Spark/Python.
- Understanding of Data Management & Model Validation principles and controls.
- Relevant qualifications in data analytics and technical field, with strong organisational skills.
- Understanding of Machine Learning, LLM, and preferably GenAI.
Good to Have Skills
- Appreciation of Financial Crime, AML, and Transaction Monitoring/detection and the systems/processes.
- Knowledge of the UK and Global Financial Crime regulatory framework.