Consultant - FSO - Bangalore

Roles & responsibilities

We are looking for individuals with 4-10 years of FS consulting experience with the primary skill being Banking and FS Data

• •Perform data analysis and validation using SQL and Excel models to support finance calculators and analytical use cases.
• •Collaborate with Engineering teams to analyze monthly statement runs, identify anomalies, and perform detailed root cause analysis (RCA) on failed or inaccurate outputs.
• •Query and analyze data from enterprise data platforms (e.g., Snowflake, Databricks) to derive insights and meet business requirements.
• •Conduct data profiling to understand source structures, metadata, mappings, and transformation logic; identify data quality and coverage gaps.
• •Define and execute data validation and testing strategies across the data lifecycle, including source‑to‑target reconciliation and UAT support.
• •Develop and maintain comprehensive documentation covering data sources, transformations, technical specifications, and business rules to support governance, audit, and knowledge transfer.
• •Support data aggregation and analysis to build business cases and management insights.
• •Coordinate with cross‑functional stakeholders and support project management activities, including progress tracking and milestone management, to ensure timely delivery.

• •Experience in banking and financial services, ideally in consulting-led transformation and change.
• •Proven delivery across diverse client engagements; adaptable to new project types and domains.
• •Experience working with US and UK stakeholders; effective across time zones and cultures.
• •Ability to manage onshore stakeholder relationships and global projects, communicate with clarity and executive presence, facilitate workshops, and influence outcomes.
• •Proficiency with analytics and automation tools (Power BI, Tableau, Alteryx) and programming/SQL (Python, SQL) is an advantage.

•Typical project scopes include (but not limited to):

• •Process design and optimization including regulatory processes, operational excellence & transformation across the value chain – front office, middle office and back office
• •Design and implementation of target operating model transformations (systems, processes, controls etc.)
• •Data governance, data lineage, data testing, subledger accounting data, loan and credit card data models etc.
• •Technology enabled digital transformation
• •Regulatory transformations e.g. IFRS 17, Basel III
• •MBA in Finance from a Tier 1 / Tier 2 institution or professional qualification such as CA / CFA
• •Industry recognized certification in Financial Services Sector
• •Overall experience of about 4 – 10 years in data, analytics, or finance roles within banking or financial services
• •Aspiration to work in a challenging environment offering continuous learning of FS businesses.
• •Ability to quickly learn and adapt to new tools, technologies, platforms, and APIs.