Jitesh Chaube

• Acted as a key liaison between Business, Production Support, and IT teams during UAT and OAT phases of SDLC.
• Proficient in End-2-End batch scheduling using Control-M and conducted ETL testing and analysis using IBM DataStage.
• Played a crucial role in the Software Migration Project from Moody's Fermat to Risk Authority for EAD and RWA calculations
• Contributed significantly to the design and implementation of DevOps in HSBC's IT Transformation Program
• Integral team member in the Regulatory Project for Corep-Basel3 regulatory reporting in Global Banking and Markets

• Led a 3-member analyst team overseeing the Missing Sensitivity Project, identifying
• Credit Risk Exposure calculations gaps in data for OTC, ETFO, SLB & REPO product lines in INSIGHT Risk Engine
• Analyzed counterparty credit exposure, rectifying strategically miscalculated exposure and providing commentary on valid moves
• Ensured risk scenarios compliance for Delta/Gamma/Vega Greeks in various products, including FX Options and Inflation Linked Products
• Developed reports for exposure moves, breaches, and trends, collaborating with credit risk managers for adjustments and providing functional commentary for regulators
• Served as Agile Product Owner for risk system migration, implementing agile methodologies for optimal product value
• Monitored data integrity in Risk Engine (Insight) through rigorous data quality checks, actively participating in BCBS 239 reconciliation for CSI and IHC entities.

• Integral part of GNA team delivering optimized cross-product margin solutions for Prime Brokerage clients.
• Monitored and reviewed margin, assessed changes in risk, and addressed daily issues in collaboration with various internal teams and external vendors..
• Liaised with Prime Services Risk Owners, Operations, Credit Risk, Legal, and IT to address daily issues, ensuring timely fixes and interim solutions within agreed SLAs for client margin calls.
• Managed client onboarding, conducting sample portfolio simulations and presented results to clients and collaborated with teams across EMEA and North America to explain margin calculations.
• Contributed to efficiency creation group , automating manual activities, and successfully deployed a tool that reduced team lead time by 2 hours.

• Collaborated with internal and external stakeholders to refine Portfolio and Product Roadmap, identifying opportunities and addressing gaps.
• Played a pivotal role in gathering requirements and creating development specifications for new features, with a primary focus on Pricing, Valuation, and Risk. Worked closely with Engineering and QA teams to implement and test portfolio management and trade workflow solutions.
• Conducted client training on software best practices, consistently providing recommendations to enhance workflows and support complex trading strategies.
• Served as Single Point of Contact (SPOC) between clients and Enfusion, ensuring smooth collaboration across internal teams and external vendors.

Change Management Team:
• Led as a Change Business Analyst in Risk Change division, specializing in Stress Risk models for the Investment Banking division at UBS.
• Successfully transitioned key stress models (IB Credit Risk Pillar 2) to the Cloud platform, navigating legacy on-premises systems.
• As a Product Owner, facilitated seamless collaboration between business stakeholders (Risk Methodology) and multiple IT teams, ensuring effective requirements gathering, testing, and deployment.
Data Intelligence Team:
• Currently serving as a Product Owner in the Data Intelligence crew, overseeing the development of Data Insight tools and Data Quality applications, managing day-to-day development efforts and conducted agile ceremonies , ensuring proper backlog refinement and aligning with targets and OKRs set by upper management
• Working with data profiling team on the implementation of Ripper Algorithm for ML-based pattern generation across Credit Risk Data Quality framework.
• Involved in strategizing, designing, and implementing user-friendly UI enhancements, as well as automating inputs for product upgrades.
• Collaborating with Production support and app users to establish SLAs, SOPs, and TOMs, ensuring smoother delivery and optimal performance in production.

AI-Driven Marketing Campaigns: Actively participate in Devon's AI-driven marketing initiatives, collaborating with the marketing team on LinkedIn campaigns, video deliverables, and poster creation. Contribute by writing white paper articles for Devon's landing page to enhance brand visibility and thought leadership.
Techno-Functional Analyst at Wolters Kluwer: Work on the LIQREP team for Wolters Kluwer's OneSumX product, focusing on the Liquidity Module.
• Independently analyze and interpret regulatory requirements, specifically LCR (Liquidity Coverage Ratio) and NSFR (Net Stable Funding Ratio), to identify gaps in data flow from client interfaces to final report generation.
• Utilize the identified gaps provided by the end-to-end execution team to review and modify data mappings and logics written in DSL (Domain Specific Language), ensuring compliance with regulatory standards.
• Lead the development and implementation of data model changes using Bitbucket, Maven, and TeamCity, conducting rigorous unit and integration testing.
• Prepare and deliver presentations to secure approval from the Data Management Committee for proposed changes, ensuring alignment with regulatory and business objectives.