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Amandeep Chandna

Goldman Sachs l Ex JP Morgan & Morgan Stanley | Capital Markets , Fintech , RegTech

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About

Amandeep Chandna is a highly experienced Fintech professional with over 15 years of experience in building distributed, scalable, and highly available applications. He is currently working as an Engineering Manager at Goldman Sachs, where he is responsible for building next-generation reporting platforms and data processing pipelines for regulatory and financial reporting. Amandeep has expertise in various areas of Fintech, including Repo Trading, Fixed Income Analytics, Market Risk, Equities Derivatives Trading, Asset Servicing, and Financial Reporting. Amandeep has extensive skills in Java, Microservices, Databases (SQL/NoSQL – Cassandra and Mongo DB), Messaging Systems (Qpid, Kafka, etc.), Data Structures, and System Design. He is also proficient in Hadoop, Spark, and Big Data, KDB/Q, and Testing Frameworks such as Cucumber and Junit. He has a good understanding of cloud-based services such as AWS and GCP and has experience in people, project, product, and stakeholder management using Agile techniques. As a Vice President (Engineering Manager) at Goldman Sachs, Amandeep is leading the development of next-generation regulatory reporting platform products related to common problems in the space such as Data Signoff/Retrieval, Archiving and Reproducibility, Data Visualization, Analytics and drilldowns, Data Enrichments and topsides, Data sourcing, and ETL pipelines Orchestration and Commentary collection. He is also responsible for building and automating various EMEA reporting workflows using reporting platform products, resulting in significant cost savings and increased efficiency and controls around critical regulatory reporting. Prior to Goldman Sachs, Amandeep worked as an Engineering Manager at JP Morgan, where he built, managed, and mentored teams building a strategic framework for asset servicing components like Trader Election and Dividend processing on the Pyramid Evolution platform. He also worked as an Engineering Manager for Equity Derivatives Risk and Pricing Product for real-time and batch calculations for Equity Derivatives products at Wells Fargo. Amandeep holds a Bachelor's Degree in Mechanical Engineering from the National Institute of Technology Kurukshetra and a Financial Risk Manager (FRM) certification from the Global Association of Risk Professionals. He is proficient in Senior Software Engineering, Big Data, SQL, AWS, Spark, Test, Java, NoSQL, MongoDB, Cassandra, Hadoop, Kafka, Microservices, ETL, and GCP. With 14.79 years of relevant

Education Overview

global association of risk professionals

nit kurukshetra national institute of technology kurukshetra

Companies Overview

goldman sachs

jp morgan

wells fargo

morgan stanley

ion

lime labs llc

progress

huawei

logica

Experience Overview

17.2 Years

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Contact Details

Email (Verified)

amaXXXXXXXXXXXXXXXXXXXXXom

Mobile Number

+91XXXXXXXX83

Education

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Frequently asked questions

What company does Amandeep Chandna work for?

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Amandeep Chandna works for goldman sachs

What is Amandeep Chandna role in their workplace?

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Amandeep Chandna's role in their workplace is Vice President (Software Engineering)

What is Amandeep Chandna's tenure in their workplace?

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Amandeep Chandna's tenure in their workplace is 5.34 years

What is Amandeep Chandna's total experience?

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Amandeep Chandna's total experience is 17.17 years

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Amandeep Chandna's LinkedIn profile can be found here

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Amandeep Chandna's email address is amaXXXXXXXXXXXXXXXXXXXXXom. Unlock here

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Amandeep Chandna's phone number is +91XXXXXXXX83. Unlock here

What schools did Amandeep Chandna attend?

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Amandeep Chandna has attended global association of risk professionals, nit kurukshetra national institute of technology kurukshetra

What companies has Amandeep Chandna worked with?

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Amandeep Chandna has worked with goldman sachs, jp morgan, wells fargo, morgan stanley, ion, lime labs llc, progress, huawei, logica

What are some of Amandeep Chandna's skills?

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Amandeep Chandna has skills in Agile Methodologies, Algorithms, Algorithms, Amazon Web Services (AWS), Amazon Web Services (AWS), analytics and more.

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