About Cloudcraftz Cloudcraftz is an innovative Applied AI and Analytics solutions provider using market leading frameworks. We translate ideas to prototypes and prototypes into solutions driving tangible data-driven business outcomes. Proprietary State-of-the-art Analytics Frameworks and cutting-edge platforms for EDA, Explainable AI, Synthetic Data Generation enable quick turnaround time, consistency and in-depth insights and this enables us to deliver unparalleled value to our global customers. Being platform agnostic enables us to deliver in real-world scenarios of multiple platforms and data sources. Cloudcraftz provides rapid experimentation and validation for AI/ML use cases. The ability to turn POCs into full-scale products and handover to clients to deliver measurable business outcome is what sets us apart as true partners for our clients. Founded by senior thought leaders in the Banking industry with over a century of global experience and led by experts with decades of Banking experience along with a team of top PHDs, Data scientists and Kagglers, Cloudcraftz is uniquely positioned to grow fast and become a leader in financial services analytics. About the Role We are seeking a detail-oriented and proactive Quantitative Trading Operations Manager to support our quantitative trading operations. The ideal candidate will bring a strong understanding of financial controls, reconciliations, and real-time data validation to ensure smooth and accurate functioning of our live trading strategies. This role bridges trading, technology, and operations — ensuring that real-time strategies are monitored effectively, and that all trade data and P&L reports are accurate, timely, and compliant. Key Responsibilities Daily Reconciliations: Ensure accuracy of trades, positions, and P&L by reconciling data from multiple internal and external sources (brokers, exchanges, clearing partners). Live Strategy Monitoring: Actively monitor running quantitative strategies in real-time for anomalies, unexpected behavior, or operational issues. Data Cross-Verification: Perform systematic cross-checks between trading system outputs and reference/benchmark data for validation and reporting. Operational Reporting: Generate daily, weekly, and monthly reports for trading performance, risk exposures, compliance checks, and reconciliation outcomes. Issue Escalation: Identify and escalate discrepancies or operational risks to the appropriate teams (front office, technology, management) in a timely manner. Process Improvement: Collaborate with technology and front office teams to improve data flows, reduce manual interventions, and enhance monitoring dashboards. Key Requirements Bachelor’s degree in Accountancy, Finance, Management or related discipline. Professional or post-graduate qualifications will be preferred 3+ years of experience in a financial services environment, preferably in a middle/back office, operations, or controls role. Familiarity with financial instruments including equities, futures, or options. Proficient with Excel (pivot tables, lookups) and comfortable working with trading/reporting tools or dashboards. Prior exposure to automated or quantitative trading environments is a plus. Experience with reconciliation tools or scripting languages (e.g., SQL, Python) is a major advantage. Personal Skills Ability to thrive in a dynamic environment. Clear and effective written and verbal communication. Strong attention to detail, problem-solving mindset Enjoys working independently with minimum guidance. What We Offer Opportunity to work at the intersection of finance and technology Exposure to cutting-edge quantitative strategies and trading systems A collaborative environment where process rigor and innovation coexist Competitive compensation and benefits Show more Show less