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A senior leadership role responsible for driving big data and AI/ML strategies within regulatory reporting frameworks to provide competitive advantage in the financial industry.
Job Responsibility:
Driving the organization's efforts in leveraging big data and artificial intelligence (AI) to achieve regulatory objectives
Developing and implementing strategies for data collection, storage, processing, analysis, and AI-driven applications
Leading a team from the front and guiding them through time-sensitive milestones
Aligning delivery with the firm’s long-term strategy
Mitigating regulatory and reputational risks through delivery of complete, accurate, and compliant reporting for various businesses.
Requirements:
15+ yrs hands on experience in Java development
Working experience in designing systems with Low Latency Streaming Architectures
Spark
Spring Boot
Kafka (ELK)
Flink or any real-time streaming framework experience
Working Knowledge of NoSQL, Kafka, Big Data, MongoDB
Hands-on experience on Hadoop, Big Data, Spark SQL, Hive/Impala
Experience in delivering Regulatory ask like in extremely compressed timelines
Experience is JMS and Real time message processing on TIBCO
Experience using Jira, Bit Bucket and managing development/testing/release efforts
Experience using XML, FIX, POJO, JSON message format
Experience with Impala, Elastic & Oracle
Working knowledge on AWS-ECS- Exp on Code Build/Code Pipeline for CI/CD & CloudWatch for logging/Monitoring
Hands on Amazon Simple Storage Service (S3)
Added advantage of having hands-on experience with AI/ML technologies, including Python, Predictive Modeling, Natural Language Processing, Machine Learning Algorithms, and general data structure modules
Good to have knowledge on Order and Executions and Trade Life Cycle Events & knowledge to work with message formats like FPML and ISO20022
Ability to lead a team from the front and guide them through time sensitive milestones
Focus on leveraging regulatory delivery as a driver for the firm’s data strategy
Very good communication and interpersonal skills
Excellent relationships with senior tech, business and compliance partners
Experience with delivery expertise for large scale programs
Ability to align delivery with firm’s long-term strategy
Quick decision maker with the ability to take a grasp of the situation in case of an issue and mitigate the impact
Proficiency in writing SQL queries for data analysis and validation
Experience working with data across Big-data or NoSQL Platforms
Proficient in writing complex SQL queries in Hive and Impala for data extraction, transformation, and analysis
Experience optimizing Hive and Impala queries for performance and scalability
Experienced with Agile, JIRA, Confluence
Strong understanding of Hive and Impala data partitioning, bucketing, and indexing techniques
Familiar with various Hive and Impala file formats (e.g., Parquet, ORC, Avro) and their performance characteristics
Working knowledge of data analysis tools like Excel, Tableau or Power BI
Excellent communication and stakeholder management skills, including with senior leadership and global teams.
Nice to have:
Hands-on experience with AI/ML technologies, including Python, Predictive Modeling, Natural Language Processing, Machine Learning Algorithms, and general data structure modules
Good to have knowledge on Order and Executions and Trade Life Cycle Events & knowledge to work with message formats like FPML and ISO20022.
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