Market Risk Time Series Engineer

Job description

Why Mizuho At Mizuho, we provide the stability of an international industry leader with the career trajectory of a growing business. Our steady, strategic growth gives our people at all levels rewarding degrees of responsibility and richer work experience than a boutique firm or an established giant could offer alone. It’s the local expertise of our employees that makes our global network so powerful. By collaborating with colleagues and clients who share the same ambition and drive, you can amplify your sphere of influence and base of knowledge as part of one of the largest banks in the world. We are seeking a hands-on Market Risk Time Series Engineer with 8-12 years of experience to support, enhance, and maintain the Market Risk Time Series platform. This role is focused on delivering business and regulatory change through application enhancements, bug fixes, operational improvements, and technical modernization initiatives. The successful candidate will possess strong technical expertise in Python, SQL, and Microsoft SQL Server , along with proven experience developing and supporting enterprise-scale data platforms. The role requires an individual who can work independently, troubleshoot complex issues, analyze large datasets, and deliver robust solutions in a production environment. The Market Risk Time Series platform is responsible for sourcing, managing, and maintaining historical market data and risk factor time series across spot rates, curves, spreads, and volatility surfaces. The platform supports workflow-driven construction methodologies, proxy and backfill capabilities, shock generation, returns calculations, and data quality controls used in VaR, SVaR, stress testing, and risk capital calculations . The candidate will work closely with Historical Market Data, Market Risk, Risk Analytics, Quantitative Analytics, and Technology teams to deliver high-quality solutions supporting critical risk management processes. Key Responsibilities: • Deliver application enhancements, bug fixes, and technology improvements for the Market Risk Time Series platform. • Develop, test, deploy, and support Python-based services and data processing components. • Design and optimize complex SQL queries, stored procedures, and database solutions within Microsoft SQL Server. • Investigate and resolve production incidents, data issues, and system performance bottlenecks. • Perform root cause analysis and implement sustainable solutions to improve platform stability. • Collaborate with business users, Market Risk teams, and quantitative analysts to understand requirements and deliver technical solutions. • Support onboarding and maintenance of market data and risk factor time series across multiple asset classes. • Improve data quality, monitoring, controls, and operational processes across the platform. • Contribute to automation initiatives aimed at reducing manual intervention and improving operational efficiency. • Participate in code reviews, testing, release management, and production support activities. • Work with scheduling and orchestration tools to ensure reliable execution of platform processes. • Follow SDLC, development standards, documentation standards, and change management processes. Required Skills: Core Skills • Strong hands-on programming expertise in Python. • Extensive experience developing, testing, troubleshooting, and supporting Python applications in production environments. • Strong expertise in SQL with experience writing and optimizing complex queries, stored procedures, and database objects. • Strong experience with Microsoft SQL Server. • Experience working with enterprise-scale data-intensive applications. • Strong debugging, troubleshooting, and problem-solving skills. • Experience working within formal SDLC and release management processes. • Good understanding of software engineering best practices, code quality, and testing methodologies. Desirable Skills • Exposure to SSIS and ETL development. • Experience with job scheduling tools such as Autosys, Control-M, Tidal, or similar platforms. • Experience with Databricks, PySpark, Azure Data Factory, Azure SQL, or Azure Data Lake. • Familiarity with Git, CI/CD pipelines, and DevOps practices. Domain Knowledge (Preferred) • Understanding of Market Risk concepts and risk data management. • Exposure to historical market data management and risk factor time series. • Knowledge of VaR, Stressed VaR, stress testing, and risk reporting processes. • Understanding of financial instruments, curves, spreads, volatility surfaces, and market data lifecycle. • Experience working within investment banking or capital markets environments. Key Competencies: • Strong analytical and critical thinking skills. • Ability to work independently with minimal supervision. • Strong ownership and accountability for delivery and production stability. • Excellent troubleshooting and investigative skills. • Ability to manage competing priorities in a fast-paced environment. • Strong verbal and written communication skills. • Collaborative mindset with the ability to engage effectively with business and technology stakeholders. Qualifications: • Bachelor's degree in Computer Science, Engineering, Information Technology, or related discipline. • 8-12 years of software development and enterprise application experience. • Proven experience delivering and supporting mission-critical data platforms in production environments. Company Overview: Mizuho Pune is an integral part of Mizuho Financial Group, one of the world’s leading financial institutions with a strong global presence across the Americas, EMEA, and Asia. Based in India, Mizuho Pune supports Mizuho’s international businesses by delivering high-quality, scalable, and resilient services across multiple functions. Mizuho Pune plays a critical role in driving operational excellence, standardization, and innovation for Mizuho