Aman Jha

Senior Analyst – Investment Banking Division at Morgan Stanley (GC) | CFA Level III Cleared | Head, Investing Club, SPJIMR | PGDM, SPJIMR 2024-26

Mumbai, Maharashtra, India

About

I am currently pursuing Post Graduate Diploma in Management in Information Management Spec from S.P. Jain Institute of Management and Research, Mumbai I have previously worked as a Software Engineer and AppOps Specialist at GE Gas Power, have almost 3 years of experience in the IT space and was responsible for developing more than 3 apps, 2 of which I helped build from the ground up in the capacity of a developer lead I am Bachelor of Technology in Computer Science from Manipal Academy of higher Education, Manipal where I was a Sponsorship and Finance Organizer at the cultural and tech fests I have pursued my 10th from Delhi Public School, Pune and my 12th from City International School, Pune I am a problem solver, dedicated and persistent individual who believes that there has to be a balance between creativity and speed when it comes to tasks

Experience

  • Senior Analyst - Investment Banking Division at Morgan Stanley
    Jul 2026 - Present · 1 mo

  • Transaction Banking Intern at Standard Chartered
    Apr 2025 - May 2025 · 2 mos

    • Led initiative to cut fraud risk by 11% via migrating invoice checks from post to pre-financing stage • Increased potential invoice coverage by 6x in 5+ trade products by shifting to API-based checks • Shortlisted 1 of 4 vendors via capability mapping by minimizing internal changes & client-side effort

  • GE Power (3 yrs 4 mos)
    • Software Engineering Specialist
      Aug 2022 - Apr 2024 · 1 yr 9 mos

      • Spearheaded an initiative to build & deploy automated KPI retrieval & analysis tool on a low-code platform; engaged with 20+ product managers and directors to gather requirements and formulate development plans • Eliminated 3-day effort of retrieving and storing KPIs by developing and deploying the tool within 2 months • Achieved 100% reduction in login time across 5+ web pages by implementing single-sign-on authentication • Developed 12+ features with defect rate < 10% for 5+ internal web apps each handling events worth $1M+ • Led initiative to integrate user tracking software (UTS) with web apps to automatically retrieve and analyse 1000+ requests/day; enhanced visibility into user actions from the UTS by developing 5+ real-time dashboards • Improved app security score by 50% for 3 web applications by resolving 20+ critically rated vulnerabilities • Enhanced database retrieval speed and app security by leading 4 unique patch upgrades in a 12-module app • Fixed 5+ hidden defects and improved code quality score by 40% by leading a quality-assurance initiative • Prevented 3+ delays in deployment cycles by fixing 10+ issues across 7 microservices in < 2 months • Identified turbines with high expected CO₂ emissions (per energy produced) using a < 5% error rate model

    • Application Operation Specialist
      Jul 2021 - Jul 2022 · 1 yr 1 mo

      • Led operations team during a major Go-to-market initiative for critical application deployed in 30+ countries • Improved efficiency of support process by 50% by setting up 100+ monthly calls for users from 5 continents • Stabilised mean-time-to-resolve despite 10× increase in users by improving SOPs and team’s tech expertise • Prevented losses north of $300,000 by using an automated ticket prioritisation pipeline on AWS Lambda • Reduced access management issues by 95% by building an automated script that ensured data consistency • Achieved NPS score of 4.6 by resolving aging tickets with average TAT 20% less than SLA by performing RCA • Built an end-to-end survey focused app to access and improve detailed maturity of 10+ internal web apps

    • DT AppOps Intern
      Jan 2021 - Jun 2021 · 6 mos

      • Created an architecture manifest of an internal web-app and its data sources for the L2 support team in 2 months of joining • Performed Root cause analysis on defects which were the source for more than 100 support tickets/month and gave critical insights on their resolution leading to decrease in ticket creation of 10+ tickets/month

  • Python Developer and Analyst at Null Innovation
    Apr 2020 - Jul 2020 · 4 mos

    • Build a backend server using Django + integrating with PostgreSQL Database for a Web-based IOT product. (REST APIs and functionalities), in 1-2 months of coding • Created a full-fledged database with foreign key logic and join-based queries for relationship management b/w tables • POC and integration of Recommender systems on predefined use cases using Autoencoders, RNN and TensorFlow