Aravind Duvvuri

Business Development Executive

Hyderabad, Telangana, India3 yrs 2 mos experience

Highly Stable

Key Highlights

Expert in Fixed Income and Mortgage-Backed Securities.
Strong analytical skills in risk analytics and scenario modeling.
CFA Level II cleared, demonstrating commitment to finance.

Stackforce AI infers this person is a Fintech professional with strong expertise in fixed income and risk analytics.

Contact

Skills

Core Skills

Fixed Income Portfolio ManagementMarket Risk

Other Skills

DerivativesInterest Rate DerivativesMortgage-Backed Securities (MBS)Market Risk AnalysisMicrosoft ExcelMicrosoft OfficeValue-at-Risk (VAR) CalculationsPython (Programming Language)SQL

About

Fixed Income- Markets Associate at J.P. Morgan Chase supporting US Mortgage and Securitized Products trading with risk analytics, scenario modelling, and Python-based tools. Work spans Agency and Non-Agency MBS, mortgage derivatives, rates, and structured products, with a focus on convexity, volatility, prepayments, and P&L attribution. CFA Level II cleared; interested in trading, structuring, and research roles at the intersection of markets, risk, and quantitative analysis.

Experience

3 yrs 2 mos

Total Experience

3 yrs 2 mos

Average Tenure

3 yrs 2 mos

Current Experience

Jpmorganchase

3 roles

Markets - Associate

Promoted

Feb 2026 – Present · 2 mos · Mumbai, Maharashtra, India

Covering Agency & Non-Agency Mortgage Securitization portfolio and Mortgage servicing rights(MSR)

DerivativesInterest Rate DerivativesFixed Income Portfolio ManagementMarket Risk

Markets - Analyst

Feb 2023 – Feb 2026 · 3 yrs · Mumbai, Maharashtra, India

Mortgage-Backed Securities (MBS)DerivativesFixed Income Portfolio Management

Internship

Jul 2022 – Feb 2023 · 7 mos · Mumbai, Maharashtra, India

Indian oil corp limited

Summer Internship

Jun 2021 – Jul 2021 · 1 mo · New Delhi, Delhi, India

1. Examined basic functioning of refinery, various petrochemical derivatives, and processes.
2. Ethylene as feedstock, it's petrochemical derivatives were pre-screened. And an economic model was built using each product's net present value(NPV) and Internal rate of return(IRR).
3. Styrene outperformed the other product in terms of IRR and NPV. Styrene production at the refinery was therefore advised