Credit Risk Analytics Manager conducting quantitative credit/behavioral/financial analytics for bank consumer portfolios. Collaborating with stakeholders to deliver insights and manage risks effectively.
About the role
- As a Data Analyst at Keyrus, validate, reconcile, and analyze data. Collaborate with multidisciplinary teams in a hybrid environment, driving performance and innovation.
Responsibilities
- Analyse and organise raw financial and transactional data to meet business needs and regulatory objectives.
- Perform data validation and reconciliation between source systems, Finbourne (LUSID), and downstream platforms.
- Develop, maintain, and optimise SQL queries and scripts, primarily on Snowflake and relational databases.
- Support trade lifecycle data analysis, including transactions, instruments, portfolios, and valuations.
- Identify data quality issues, inconsistencies, or gaps and collaborate with technical teams to resolve them.
- Work closely with business SMEs, BAs, and QA teams to ensure data accuracy and completeness.
- Support operational reporting and analytics, enabling business and operational decision-making.
- Contribute to defining data quality standards, controls, and reconciliation processes.
- Support investigations related to production data issues and provide insights for root cause analysis.
- Collaborate within Agile delivery teams, contributing to sprint activities and continuous improvement.
Requirements
- 5+ years of experience in data analysis, reporting, or data validation roles.
- Strong proficiency in SQL, with hands-on experience using Snowflake.
- Experience analysing large, complex datasets, ideally in financial or regulated environments.
- Solid understanding of data reconciliation and data quality controls.
- Ability to translate business requirements into data queries and insights.
- Experience collaborating with business stakeholders and technical teams.
- Strong analytical and problem-solving skills.
- Experience working in Agile environments.
- Fluency in English.
Benefits
- Hybrid work model (3 days/week in office)
- 18 paid leaves + 9 public holidays
- ₹5L medical insurance + ₹10L accident insurance
- Competitive fixed salary with EPF & statutory benefits
- International consulting exposure with Keyrus clients
- Discretionary Bonus Scheme
- Referral Bonus Scheme
- Training & Development via KLX (Keyrus Learning Experience)
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