Shahzeb Salahuddin

Performance-driven and analytically rigorous Professional with extensive experience engineering complex financial data infrastructures, automated institutional payment architectures, and algorithmic workflow systems. Combines absolute mastery over quantitative data modeling with deep technical fluency in FX market structures, macro rates, and structured derivatives logic. Highly skilled at consulting multi-tiered institutional stakeholders, deconstructing intricate corporate requirements into strategic executable solutions, and leading cross-functional execution frameworks.

Expertly positioned to bridge the gap between technical quantitative platforms, trading principal desks, and high-value corporate treasury clients within JPMorgan Chase.

Associate FinTech Engineer & Corporate Solutions Lead - Reignsys Softech - Kolkata, India

(2024-01)

• Institutional Relationship Management: Spearheaded critical operational requirement reviews for high-net-worth corporate accounts, aligning platform functionalities with corporate treasury needs and structuring tailored financial automation protocols.
• Financial Workflow Automation: Formulated and executed a dynamic financial invoice and billing architecture that processed high-volume financial data, optimizing institutional reporting timelines and mitigating manual processing errors by 35%.
• Cross-Functional Stakeholder Alignment: Partnered directly with product strategy managers, quantitative risk teams, and backend developers to translate complex market settlement rules into hyper-efficient system infrastructure.
• Algorithmic Data Design: Engineered advanced SQL database indexes and custom data schemas to process massive corporate balance-sheet datasets, cutting querying times by 40% and providing immediate liquidity visualization dashboards.
• Team Mentorship: Championed internal skill-enhancement modules, onboarding and accelerating technical product mastery for 5 junior colleagues across continuous integration pipelines and scalable system architectures.

Quantitative Systems Intern - DOMOV's Services - Kolkata, India

(2023-01 - 2024-01)

• Real-Time Data Infrastructure: Architected a low-latency real-time data streaming matrix powered by high-velocity WebSockets to ensure instantaneous monitoring of fast-moving institutional transactions.
• Risk Framework Optimization: Designed secure verification pipelines integrating multi-factor validation (JWT, automated OTP protocols) across critical application access management hubs, guaranteeing total compliance with internal information security policies.
• Data Integrity & Governance: Managed massive relational database cluster migrations, writing robust structural integrity scripts to secure zero-loss transaction records during cloud infrastructure shifts.

Bachelor of Technology (B.Tech.) - Computer Science & Engineering - Netaji Subhash Institute of Technology (2020-01 - 2024-01)