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Front Office Financial

Hartford, Connecticut, United States
November 05, 2018

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Kumari Amrita



Graduate student with 4+ years of experience in Capital Markets domain and financial services. Proficient knowledge of financial software Murex, trade life cycle, risk management, financial modeling, data analytics


Business- Capital markets, investment banking, VaR Models, Pricing, Risk valuation and Modeling of derivatives, Monte Carlo Simulation, fixed income and equities, P&L and cash flow reporting, management skills, JIRA, Agile

Technical- Murex Datamart and front office, Data Analytics, SQL, core Java/J2EE, MATLAB, R, VBA, Excel, Tableau, Predictive modeling


Graduate Assistant, UConn MSFRM Career Services Department Jan 2018 - Present

Assist the staff with the planning, marketing and implementation of all Career Center programming such as presentation, seminars and mini conference

Worked with individual student and provided career counseling on a variety of topics including resume/cover letter writing, interview practice, job searching and networking

Business and Integration Arch Analyst, Accenture, India May 2013 -July 2017

Project Management: - Developed and deepen the business relationship with clients in the initial phase of system integration project by participating in understanding and gathering of detail project requirements

Front office: - Booked trades and executed complete trade life cycle,along with various market operation on deals. Createdarchive groups, indexes, currencies/cross currencies and bond generator.Configured historical and market data in designing of simulation view and for data analysis of trade P&L and risk. Implemented the addition of simple portfolios in the portfolio tree considering all parameters to be align as per GOM. Secure the compliance of portfolio, made amendments in pre-trade code and added fields in eTradepad for trade booking

Datamart: - Created dynamic tables, Datamart reports, batch of feeder and extraction, processing script and stored procedure for P&L, cash flow and static data reports. Tested and reconciled data of the existing Datamartreports of two environments to enhance the bug fixing process.Configured market data and simulation viewer, enhanced the quality of the financial report’s layout using Excel, SQL and Business Intelligence Report

Workflow: - Built workflows models for trade inbound of EMEA and APAC regions, debug and improve XML and XSLT coding to 70% in MXpress workflow sheet. Troubleshoot at different phases of the post trade workflow that ease the process for the testing team

Testing: -Tested the application in UAT environments by installing the bug fix packages.Responsible for development, implementation and testing of the complete business solution

Volunteer Experience Accounting Mar 2009 - Aug 2017

Updated the billing system and reconciliation of received and adjusted payments

Monitored the inventory movement anddatabase verification

Reconciliation of bank statement and ledger account

Identification and determination of the causes for transactions discrepancies


University of Connecticut School of Business, Hartford, CT Dec 2018 (Expected)

MS in Financial Risk Management, GPA: 3.7

Courses-Financial Modeling, US Capital Market, Financial Institutions,Equity markets, Financial Risk Management, Legal &Ethical and Internal control Issues, Monte Carlo Simulation & Value at risk

Vellore Institute of Technology, Vellore, India

Bachelor of Technology in Biotechnology, GPA 4.0 July 2009 - May 2013

Academic Projects

Health score Modelling: - Currently designingthe analytical framework and model for a health score to predict the likelihood of having a disease which can affect the pricing of insurance plan and claims

Financial Modelling: - Applied Monte Carlo simulation and Black Scholes method to price various derivative products using VBA platform

Case study on Enterprise Risk Management: - Provided a strategic greenfield project plan for a hypothetical company, business model involves identification, assess, and mitigation of compliance, market and operational risk

Portfolio Management: - Optimized the portfolio based on logistic regression analysis and VaR, determined the variance and covariance matrix of these assets to determine the comparative riskiness using R programming


Bloomberg Market Concept Sep 2017

NCFM certifications on derivative market, dealer and option strategies module Jul 2016

NCFM certifications on Financial Market and Equity Derivatives Jun 2016

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