Data Analyst - Risk & Compliance

At a high level the purpose of the role is to provide support to a new Compliance Data & Analytics Centre of Excellence and drive continuous improvement activities across Compliance with a focus on data analysis and insights.

What will you be doing?

- Understand the landscape of oversight activities & data from the allocated Business Oversight Compliance team, and identify and articulate opportunities to support check & challenge rationale with data & insights.

- Source, interrogate and analyse data using various skillsets (e.g. data aggregation, data visualisation, root cause & outlier analysis using statistics) to drive new insights supporting BAU & ad-hoc oversight activities.

- Identify and communicate the demand for more complex solutions (e.g. machine learning) to improve the management of Conduct Risk and Reputational Risk, and facilitate requirement gathering.

- Collaborate and coordinate with a centralised Product team throughout product lifecycle, and drive user testing, training & adoption and contribute to continuous product improvements.

- Identify data governance and quality issues and escalate to stakeholders (e.g. supported Business Oversight Compliance team, centralised Product team, and Chief Data Office) for resolution.

- Bring an understanding of technologies used in banking (and other sectors) and role-model intellectual curiosity and continuous learning related to emerging technology.-

- Act as the Compliance representative for enterprise-wide regulatory and industry consultations relating to data topics such as Artificial Intelligence, Machine Learning, Fairness and Bias in modelling, and Data Privacy.

What we're looking for:

- Experience of data-driven storytelling - Proven ability to explain data analysis, insights and capabilities to audiences with differing technical backgrounds.

- Expert in data sourcing - Liaise with data source owners to understand available data sets, define regular data extracts to facilitate manipulation/analysis within the appropriate tooling.

- Expert using computer languages (e.g. Python, R, SAS or similar) for data analysis. The ability to manipulate data and visualise insights from large and varied data sources (e.g. Tableau).

- Expert in data quality review. The ability to review all core components of a deliverable to ensure each link in the chain is robust, accurate and performant before the final solution is released to end users.

- Delivery, project management and execution - Ability to oversee, drive and track project deliverables from initiation through to completion, including accountability for escalation of risks to stakeholders

- Experience of operating in a robust data governance environment and managing sustainable, scalable data infrastructures with consideration to security, privacy and risk.

Skills that will help you in the role

- Relevant professional qualification(s) or postgraduate degree.

- Experience with new technologies in delivering banking services and digital customer / client experience.

- Experience of data architecture and assets development.

- Ability to provide strong people leadership, performance management and talent development.

- Experience of enterprise risk management and working across silos, departments and working cultures.

- Knowledge of critical regulation and guidance covering conduct risk in the context of personal data and technologies e.g. GDPR (EU), Regulation B (US), CONC (UK), etc.

- Experience of working in a regulatory oversight role (such as compliance, risk, controls, audit, assurance, privacy) in the retail or investment banking sector with a focus on consumer and client conduct risk.

- Demonstrated hands-on experience delivering a variety of machine learning techniques (clustering, decision tree learning, neural networks, text analytics / Natural Language Processing) and their real-world advantages/drawbacks.

Where will you be working?

Pune