Umanshi Jasuja
Associate @BlackRock
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WORK HISTORY
Associate @BlackRock
Gurugram, IN
I work in BlackRock’s Financial Markets Advisory (FMA) group, where we help financial institutions tackle complex issues involving risk, regulation, and data. My focus is on ESG risk, helping clients embed sustainability into their risk systems by developing quantitative models and leveraging advanced analytical techniques.• Currently supporting the development of a unified ESG scoring framework for a European bank, covering multiple asset classes, sectors, and benchmark companies. The model integrates KPI-level ESG data, applies statistical standardization and normalization techniques, and generates consistent, comparable scores to inform credit assessments, lending decisions, and identification of sustainability-linked loans (SLLs) and project finance opportunities.• Assisted in the research and development of Net Zero strategy models for portfolio companies in sectors such as steel and aluminum. These models enabled emissions quantification and assessment of alignment with sector-specific decarbonization pathways (e.g, SBTi, IEA).
EDUCATION
DAV PUBLIC SCHOOL SRESHTHA VIHAR DELHI-110092
Class XII
Delhi Technological University (Formerly DCE)
Bachelor of Technology - BTech, Engineering
DAV PUBLIC SCHOOL SRESHTHA VIHAR DELHI-110092
Class X
SKILLS
ABOUT UMANSHI JASUJA
I am an Associate at BlackRock within the Financial Markets Advisory (FMA) vertical, specializing in ESG solutions. My work involves helping financial institutions meet regulatory expectations and enhance risk frameworks by leveraging data-driven insights and well-structured data models.Previously at Moody’s Analytics, I built a strong foundation in credit risk analytics, which continues to shape my approach while solving complex challenges in the banking and financial services sector.I am always committed to continuous learning and innovation. Currently, I am broadening my expertise by delving into advanced technologies such as genAI.I thrive on the challenge of breaking down complex topics and communicating them in a way that’s both accessible and memorable.Core Competencies: Risk functions: Credit risk, ESG risk Credit risk modelling areas: ECL Modelling (CECL, IFRS9), impairment estimation, stress testing, reverse stress testing, PD calibration, LGD customization, capital analysis ESG risk modelling areas: Net zero modelling, ESG scoring Programming knowledge of: C, SQL, R, VBA, Python
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