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Reads like a Data Leadership role: running a data team.
Bangalore, IN
Live, first seen by us 76 days agoJob Summary The role is responsible for strengthening the data, automation and control framework supporting CIB Credit Risk reporting, with a focus on Financial Sponsors and Private Credit. The role holder will work closely with reporting, data, technology and change teams to improve data sourcing, data models, data quality controls, reconciliations, automation and dashboard-based reporting. The successful candidate should bring strong data wrangling, data management and automation experience, preferably within a credit risk, financial services or regulatory reporting environment. The role requires someone who can understand reporting requirements, interrogate data issues, design sustainable solutions and reduce reliance on manual processes. This is a contract role till December 2027. Key ResponsibilitiesRead the full posting
Build, maintain and enhance data pipelines, transformations and automated reporting
Automate recurring reporting: extraction, validation, exception reporting and outputs
Translate reporting needs into data specifications, control requirements and automation
Identify and investigate data quality issues, breaks and control weaknesses
Maintain data lineage, source-to-report mapping, reconciliation and control documentation
Build, maintain and enhance data pipelines, data transformations and automated reporting processes.
Drive automation of recurring reporting processes, including data extraction, validation, transformation, exception reporting and output generation.
Translate reporting needs into practical data specifications, control requirements and automation opportunities.
Identify data quality issues, breaks, inconsistencies and control weaknesses that may affect risk reporting accuracy.
Support data model reviews, data lineage documentation, source-to-report mapping and reconciliation design.
Bachelor’s or Master’s degree in computer science, data analytics, quantitative discipline, finance, economics, risk management or related field. • 5 to 7 years’ experience in data analytics, data management, risk reporting, financial reporting, regulatory reporting or related financial services roles. • Strong Python capability for data wrangling, automation, validation and reporting process improvement. • Strong SQL, Excel and data transformation skills. • Experience with dashboarding or visualisation tools is preferred. • Good understanding of data models, data lineage, reconciliations, data quality controls and source-to-report processes. • Credit risk or CIB reporting experience is advantageous. • Ability to investigate complex data issues and communicate findings clearly to technical and non-technical stakeholders. • Strong control mindset, with ability to design sustainable solutions rather than manual workarounds. • Ability to manage competing priorities and deliver under time-sensitive reporting timelines.
Qualifications • Bachelor’s or Master’s degree in computer science, data analytics, quantitative discipline, finance, economics, risk management or related field. • 5 to 7 years’ experience in data analytics, data management, risk reporting, financial reporting, regulatory reporting or related financial services roles. • Strong Python capability for data wrangling, automation, validation and reporting process improvement. • Strong SQL, Excel and data transformation skills. • Experience with dashboarding or visualisation tools is preferred. • Good understanding of data models, data lineage, reconciliations, data quality controls and source-to-report processes. • Credit risk or CIB reporting experience is advantageous. • Ability to investigate complex data issues and communicate findings clearly to technical and non-technical stakeholders. • Strong control mindset, with ability to design sustainable solutions rather than manual workarounds. • Ability to manage competing priorities and deliver under time-sensitive reporting timelines. About Standard Chartered
From the employer’s posting.
Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours.
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Key Responsibilities Strategy • Support the modernisation of CIB Credit Risk reporting through better data architecture, automation, dashboarding and data quality controls. • Help build a more sustainable reporting landscape for Financial Sponsors and Private Credit reporting. • Identify opportunities to simplify data flows, reduce manual intervention and improve reporting repeatability. • Support stronger linkage between source data, reporting outputs, analytics and risk appetite metrics. Business • Work with reporting teams to understand data requirements for Financial Sponsors, Private Credit and broader CIB Credit Risk reporting. • Translate reporting needs into practical data specifications, control requirements and automation opportunities. • Support senior management and committee reporting by improving the reliability, traceability and timeliness of underlying data. • Help investigate and resolve data issues impacting portfolio reporting, commentary, reconciliations and management packs.. Processes • Build, maintain and enhance data pipelines, data transformations and automated reporting processes. • Use Python, SQL, Excel, dashboard tools and other data analytics techniques to improve reporting efficiency and control. • Support data model reviews, data lineage documentation, source-to-report mapping and reconciliation design. • Drive automation of recurring reporting processes, including data extraction, validation, transformation, exception reporting and output generation. • Support UAT, implementation testing, data validation and post-implementation review for reporting change initiatives. Risk Management • Identify data quality issues, breaks, inconsistencies and control weaknesses that may affect risk reporting accuracy. • Support the design and implementation of data quality checks, exception management processes and escalation triggers. • Ensure data outputs used in risk reporting are complete, accurate, timely and explainable. • Work with stakeholders to resolve root causes of recurring data issues rather than relying on manual tactical fixes. Governance • Maintain documentation for data flows, controls, reconciliations, assumptions, transformations and issue resolution. • Ensure automation and data processes are appropriately controlled, evidenced and aligned to governance expectations. • Support audit, assurance or review activities related to reporting data, controls and process documentation. Regulatory & Business Conduct • Display exemplary conduct and live by the Group’s Values and Code of Conduct. • Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. • Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. Key stakeholders • CIB Risk Reporting and Portfolio Analytics • Financial Sponsors and Private Credit Risk teams • Risk and CFCC Data Strategy • Risk and CFCC Change • Technology • CIB Credit • Risk Appetite teams • Stress Testing teams • Group Finance • Data owners and upstream source system teams
Skills and Experience • Python and data analytics for risk reporting automation • Data architecture and database design • Dashboard design and management reporting visualisation • CIB Credit Risk knowledge • Risk appetite, risk reporting and stress testing integration • Reporting transformation and sustainable BAU delivery under pressure • Financial Sponsor and Private Equity and Leverage Lending Qualifications
Qualifications • Bachelor’s or Master’s degree in computer science, data analytics, quantitative discipline, finance, economics, risk management or related field. • 5 to 7 years’ experience in data analytics, data management, risk reporting, financial reporting, regulatory reporting or related financial services roles. • Strong Python capability for data wrangling, automation, validation and reporting process improvement. • Strong SQL, Excel and data transformation skills. • Experience with dashboarding or visualisation tools is preferred. • Good understanding of data models, data lineage, reconciliations, data quality controls and source-to-report processes. • Credit risk or CIB reporting experience is advantageous. • Ability to investigate complex data issues and communicate findings clearly to technical and non-technical stakeholders. • Strong control mindset, with ability to design sustainable solutions rather than manual workarounds. • Ability to manage competing priorities and deliver under time-sensitive reporting timelines. About Standard Chartered
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We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
The role is responsible for strengthening the data, automation and control framework supporting CIB Credit Risk reporting, with a focus on Financial Sponsors and Private Credit. The role holder will work closely with reporting, data, technology and change teams to improve data sourcing, data models, data quality controls, reconciliations, automation and dashboard-based reporting.
The successful candidate should bring strong data wrangling, data management and automation experience, preferably within a credit risk, financial services or regulatory reporting environment. The role requires someone who can understand reporting requirements, interrogate data issues, design sustainable solutions and reduce reliance on manual processes.
This is a contract role till December 2027.
Strategy
• Support the modernisation of CIB Credit Risk reporting through better data architecture, automation, dashboarding and data quality controls.
• Help build a more sustainable reporting landscape for Financial Sponsors and Private Credit reporting.
• Identify opportunities to simplify data flows, reduce manual intervention and improve reporting repeatability.
• Support stronger linkage between source data, reporting outputs, analytics and risk appetite metrics.
Business
• Work with reporting teams to understand data requirements for Financial Sponsors, Private Credit and broader CIB Credit Risk reporting.
• Translate reporting needs into practical data specifications, control requirements and automation opportunities.
• Support senior management and committee reporting by improving the reliability, traceability and timeliness of underlying data.
• Help investigate and resolve data issues impacting portfolio reporting, commentary, reconciliations and management packs..
Processes
• Build, maintain and enhance data pipelines, data transformations and automated reporting processes.
• Use Python, SQL, Excel, dashboard tools and other data analytics techniques to improve reporting efficiency and control.
• Support data model reviews, data lineage documentation, source-to-report mapping and reconciliation design.
• Drive automation of recurring reporting processes, including data extraction, validation, transformation, exception reporting and output generation.
• Support UAT, implementation testing, data validation and post-implementation review for reporting change initiatives.
Risk Management
• Identify data quality issues, breaks, inconsistencies and control weaknesses that may affect risk reporting accuracy.
• Support the design and implementation of data quality checks, exception management processes and escalation triggers.
• Ensure data outputs used in risk reporting are complete, accurate, timely and explainable.
• Work with stakeholders to resolve root causes of recurring data issues rather than relying on manual tactical fixes.
Governance
• Maintain documentation for data flows, controls, reconciliations, assumptions, transformations and issue resolution.
• Ensure automation and data processes are appropriately controlled, evidenced and aligned to governance expectations.
• Support audit, assurance or review activities related to reporting data, controls and process documentation.
Regulatory & Business Conduct
• Display exemplary conduct and live by the Group’s Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.
Key stakeholders
• CIB Risk Reporting and Portfolio Analytics
• Financial Sponsors and Private Credit Risk teams
• Risk and CFCC Data Strategy
• Risk and CFCC Change
• Technology
• CIB Credit
• Risk Appetite teams
• Stress Testing teams
• Group Finance
• Data owners and upstream source system teams
• Python and data analytics for risk reporting automation
• Data architecture and database design
• Dashboard design and management reporting visualisation
• CIB Credit Risk knowledge
• Risk appetite, risk reporting and stress testing integration
• Reporting transformation and sustainable BAU delivery under pressure
• Financial Sponsor and Private Equity and Leverage Lending
• Bachelor’s or Master’s degree in computer science, data analytics, quantitative discipline, finance, economics, risk management or related field.
• 5 to 7 years’ experience in data analytics, data management, risk reporting, financial reporting, regulatory reporting or related financial services roles.
• Strong Python capability for data wrangling, automation, validation and reporting process improvement.
• Strong SQL, Excel and data transformation skills.
• Experience with dashboarding or visualisation tools is preferred.
• Good understanding of data models, data lineage, reconciliations, data quality controls and source-to-report processes.
• Credit risk or CIB reporting experience is advantageous.
• Ability to investigate complex data issues and communicate findings clearly to technical and non-technical stakeholders.
• Strong control mindset, with ability to design sustainable solutions rather than manual workarounds.
• Ability to manage competing priorities and deliver under time-sensitive reporting timelines.
We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.
Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.
Together we:
In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.
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Bangalore, IN
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