Job Description & How to Apply Below
FC Global Services India LLP (First Citizens India), a part of First Citizens Banc Shares, Inc., a top 20 U.S. financial institution, is a global capability center (GCC) based in Bengaluru. Our India-based teams benefit from the company's over 125-year legacy of strength and stability. First Citizens India is responsible for delivering value and managing risks for our lines of business.
We are particularly proud of our strong, relationship-driven culture and our long-term approach, which are deeply ingrained in our talented workforce. This is evident across all key areas of our operations, including Technology, Enterprise Operations, Finance, Cybersecurity, Risk Management, and Credit Administration. We are seeking talented individuals to join us in our mission of providing solutions fit for our clients' greatest ambitions.
Job Description
Value Preposition
This role sits at the core of our credit risk business intelligence and risk reporting ecosystem, owning the quality, structure, and reliability of data that powers portfolio insights, risk reporting, and decision-making. By strengthening data foundations through advanced SQL, robust transformations, and rigorous controls, this role directly improves accuracy, explainability, and trust in risk analytics used by senior leadership. You'll work on high-impact, real-world credit risk data at scale—solving complex data problems, influencing how risk is measured and understood, and building data assets that are reused across multiple analytics and reporting teams.
This is a role for someone who wants to own the data, not just consume it.
Job Details
Position Title:
Lead Analyst – Business Intelligence & Risk Reporting
Career Level:
P3
Job Category:
Manager
Role Type:
Hybrid
Job Location:
Bangalore
About The Team
We are a team of skilled professionals with proven expertise in delivering analytical and reporting solutions that transform raw data into actionable insights. With 75% of our team from risk analytics background and the rest equipped with advanced analytical skills. We ensure data and metrics are timely, traceable, and consistent to drive impactful decisions.
Impact
This role materially improves the accuracy, consistency, and reliability of credit risk data, enabling faster, more confident decision-making across portfolio management, risk monitoring, and senior leadership reporting. You will work on building scalable, reusable data assets that can be consumed across multiple analytics use cases
Key Deliverables
Analytics-ready credit risk datasets – Development of reusable, scalable, curated, well-structured datasets for downstream analytics and reporting consumption.
Robust SQL transformation logic - Production-grade SQL scripts handling complex joins, aggregations, windowing, and performance optimization across large, multi-source datasets.
Automated data preparation pipelines - Repeatable data transformation workflows built using Tableau Prep to minimize manual intervention and reduce operational risk.
Reusable data assets & datasets - Common, documented data layers and views that can be reused across analytics, reporting, and ad-hoc use cases.
Python-based analytics support - Scripts for data wrangling, exploratory analysis, validation, and automation of recurring analytical tasks.
Data documentation & lineage artefacts - Clear documentation of source-to-target mappings, transformation logic, assumptions, and data dependencies.
Issue resolution & root-cause analysis - Timely identification and resolution of data anomalies, with clear explanations shared with stakeholders
Skills And Qualification
Functional
Skills:
Strong understanding of credit risk data and banking domain
Strong data validation, reconciliation, and control mindset
Ability to explain portfolio movements, variances, and anomalies using data
Experience working with multiple upstream data sources and resolving data inconsistencies
Understanding of data lineage, metadata, and transformation logic
Stakeholder collaboration with risk, analytics, finance, and technology teams
Structured problem-solving and root-cause analysis skills
Strong documentation and knowledge-sharing capability
Analytical…
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