I am working with Post trade processing and enrichment team, where the trades across all the Line of Business within the bank are processed and enriched with market data for end of day reporting and intra-day reporting. I lead the API development to build a strategic API for consuming the trade details generated and scale at larger scale serving ~15mm end of day trades.Working closely with Business analysts to on board Financial regulatory reporting, designing architectural changes to the existing system to scale to report 5x the volume processed currently to help report transaction level reporting for Equities business.Mentoring the junior developers, participating in code reviews and stabilizing the lower lane environment for multiple testing efforts.Tech stack used: Python, Distributed computing, Impala tables, Load balancing the API, ReactJS.

I worked in the Counter-party Portfolio Management team where I worked closely with the Risk Optimization Desk performing Bilateral and multilateral, internal and external compressions activities. I was responsible building new features to the Compression tool and migrating the manual process involved in the compression life cycle involving external vendors to help abide the timelines for the compression activities with them.I took initiative in migrating the UI applications which was built with Python based framework to ReactJS and was able to help build a base framework for other applications within the org.Worked with Global team on Common risk report generation and initial/variation margin calculation with the Funding desk.Tech stack used: Python, ReactJS, Javascript, CSS, Flask

I worked for the client Bank of America Merrill Lynch on a migration project from a legacy data store to a strategic solution which is regulated and well maintained. My role is to analyze the data from the legacy system and map the functionality to the new system perform the Data quality checks and deploy the migration to production. Tech stack used here was Python, Flask

I worked in the project QzTrades which does the post trade processing, trade enrichment across all the Line Of Business and providing API for all the internal applications to consume the processed trade data which is used by regulation projects such as XVA, UMR, Financial & Non Financial regulation, Volcker, etc..I worked closed with the on shore team understanding the basics terminologies and domain knowledge about the investment banking.I spent few months to understand business knowledge, financial framework available in the bank and got up to speed in both technical and domain knowledge.After understanding about the domain and the application workflow I took ownership for building a tool based on UI which is used to generate the trade processing and enrichment data used by developers and consumers in development environment, and by Support team in the production environment.The tech stack used was Python, Flask, Sandra (an object oriented data base), Distributed processing system, Javascript, HTML

I worked in a project WorkpaysMe which was acquired by Global Analytics, it is an eCommerce business based on US market. It stands out in the market by providing the option for Buy now and pay later from the paycheck, which has the tie up with multiple Employers in the market for processing the monthly installments from the customers pay check.I have been maintaining the existing system with WorkpaysMe while the rest of the team has been building the new platform for a revamped version of the website.Post migration I owned the development of Checkout & Payment integration with the newly created website the business.Working closely with the CTO coming up with simple and elegant solutions for the system and worked with the team on launching the website.I worked in a Data migration project relating the existing Lending business, understanding the existing data model and migrate to a newer data model which helped to build a better controlled data base.I have the experience in designing the migration flow, mentoring the junior developers, come up with the framework for the migration pipeline.

Global Analytics began as an analytics company, initially focusing on providing analytical solutions for the banking sector before branching out to launch its own lending platform catering to under banked customers in the UK.I worked in the Transaction management system project where the loan life cycle management, payment gateway for handling the payments and reconciliation is carried out.I utilized the opportunity for improving the existing system where I was able to understand the enterprise level application development, and how to work and deliver as a team.Tech stack used was Python, Django, MySQL