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Key skills for this role
Expertise in Microsoft SQL Server
Advanced SQL query optimization and performance tuning
Experience with stored procedures, indexing, partitioning, and database design
Knowledge of NoSQL databases (MongoDB, Cassandra, Redis) is preferred
Experience handling large-scale market and risk datasets
Hands-on experience with Databricks for large-scale data processing, including Spark-based ETL/ELT pipelines, Delta Lake, and Unity Catalog
Modern data engineering skills, including workflow orchestration (Airflow), data pipeline design, data quality/observability, and building scalable batch and streaming data platforms
Experience integrating AI/ML models into data platforms, automation workflows, and risk applications
Exposure to Large Language Models (LLMs) and Generative AI frameworks (e.g., Azure OpenAI, LangChain, Copilot)
Experience applying AI-driven observability, anomaly detection, and intelligent automation to platform reliability
Familiarity with responsible AI principles and model governance in a regulated financial services environment
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Experience with cloud platforms such as Azure or AWS
CI/CD implementation using Azure DevOps, GitHub Actions, or Jenkins
Containerization using Docker and Kubernetes
Experience with messaging frameworks:
Kafka/Redpanda
RabbitMQ
MQ Series
Service-oriented architecture and event-driven design
Market Risk : VaR (Value at Risk), Stress Testing, Expected Shortfall, Sensitivity Analysis (Greeks), Trading and Position Risk Monitoring
Credit Risk : PD, LGD, EAD Models, Counterparty Credit Risk, Exposure Calculations, Credit Limit Monitoring
Liquidity Risk: Liquidity Coverage Ratio (LCR), Net Stable Funding Ratio (NSFR),
Domain-Driven Design (DDD)
Event-Driven Architecture
API Management and Governance
Secure Software Development Lifecycle (SSDLC)
SOLID Principles and Clean Architecture
System Design and Scalability Patterns
Visual Studio
Git/GitHub/Bitbucket
Azure DevOps
Jira/Confluence
Splunk/AppDynamics/Dynatrace
Swagger/OpenAPI
Lead the design, development, and support of enterprise-scale Risk Technology platforms.
Define technical architecture, coding standards, and engineering best practices.
Drive modernization initiatives involving cloud migration, microservices, and event-driven architectures.
Make architectural decisions that ensure high availability, scalability, and resilience.
Build and enhance applications supporting Market Risk, Credit Risk, Liquidity Risk, and Regulatory Reporting functions.
Collaborate with Risk Managers, Quantitative Analysts, and Front Office stakeholders to implement risk calculation engines and reporting solutions.
Deliver real-time and batch risk processing systems.
Lead and mentor a team of software engineers.
Conduct code reviews and ensure high-quality software delivery.
Provide technical guidance and career development support to team members.
Drive Agile delivery practices and sprint planning activities.
Partner with business users, risk managers, product owners, and enterprise architects.
Translate complex risk requirements into scalable technical solutions.
Provide regular updates to senior management and technology leadership.
Design robust APIs, integration frameworks, and data processing solutions.
Ensure systems comply with enterprise architecture and security standards.
Review and approve solution designs and technical documentation.
Ensure platform stability, reliability, and performance.
Lead production issue resolution and root cause analysis.
Implement monitoring, observability, and automated support capabilities.
Drive continuous improvement and technical debt reduction initiatives.
Ensure adherence to regulatory requirements and audit standards.
Support technology risk assessments and controls testing.
Participate in architecture review and risk governance forums.
7–10+ years of software development experience.
3+ years leading teams in financial services, investment banking, capital markets, or trading organizations.
Experience developing Risk, Regulatory, Trading, or Middle-Office technology platforms.
Exposure to large-scale risk engines, pricing systems, and real-time market data platforms.
Experience working with global distributed teams and stakeholders.
Global financial services network connecting clients to global markets.
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Senior · 7+ years experience
Onsite
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