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Functional Overview:
As a Vice President Software Engineer within Controllers Engineering, you will lead, mentor, and scale a high performing team of 10+ engineers. Controllers Engineering is responsible for designing and implementing solutions to manage firm’s profit and loss (P&L), measure and monitor the firm’s capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, EMEA & Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulators for both regular business activity and under stress scenarios.
Data Reconciliation Platform is a firmwide data consistency and control platform that reconciles, normalizes, and governs high‑volume data—matching records across sources, flagging discrepancies, and tracking their resolution via intelligent, policy‑driven workflows—to ensure accuracy, compliance, and trusted business operations. It is being modernized into AI-powered fully cloud-native reconciliation platform will autonomously match, validate, assign and explain exceptions across all businesses—delivering real-time accuracy, auditability, and insight at scale.
Requirements:
Bachelor’s or Master’s degree in Computer Science or related technical discipline
Tool & Technologies we use: AWS solutions, AI platforms, Java, Python, RESTful services, Maven/Gradle, Apache Spark, BigData, ReactJs/NextJs, IntelliJ/VSCode, Gitlab, Kubernates/Terraform.
8+ years of hands-on software engineering experience
Proven leadership experience managing and mentoring more junior engineers
Cloud migration experience, leading complex transformations for legacy systems
Familiarity with LLMs, AI-powered automations, prompt engineering concepts.
Develop high level/detailed technical designs, testing strategies, and implementation plans
Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance
Understand and respond to business needs, facilitating and developing process workflow, data requirements, and specifications required to support implementation
Build strong relationships with business partners
Identify opportunities for cross-divisional collaboration and reuse of common solutions
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