ad5ti
Financial Analyst
đź’Ľ Financial Analyst | Capital Markets & Risk Analytics | Quantitative Finance Graduate (STEM OPT)
đź“ŤCurrently in Boston | Open to Global Opportunities
đź“ŤCurrently in Boston | Open to Global Opportunities
I’m Aditi Shukla, a Financial Analyst with a Master’s in Quantitative Finance from Northeastern University and hands-on experience across investment analysis, financial modeling, risk assessment, and data-driven decision-making. With a strong foundation in both buy-side and sell-side research, I’ve built and automated financial models, contributed to valuation and portfolio strategies, and supported investor-grade reporting for firms across fintech, ed-tech, and investment sectors.
I’ve worked on real-world projects involving DCF modeling, PD/LGD risk frameworks, derivatives-based hedging strategies, and portfolio optimization—leveraging tools like Python, Excel VBA, Power BI, Tableau, and Bloomberg Terminal. I thrive in fast-paced, data-intensive environments and bring a global, collaborative mindset backed by technical fluency in finance, coding, and analytics.
🌎 Currently on F1 STEM OPT (EAD valid) and open to full-time roles across the U.S., Europe, and APAC regions. Let’s connect if you're hiring for roles in capital markets, equity research, investment analysis, or financial data analytics.
Experience: 1 year
Yearly salary: $78,000
Hourly rate: $55
Nationality: 🇮🇳 India
Residency: 🇺🇸 United States
Experience
Financial Analyst intern
35 North Ventures Pvt Ltd 2023 - 2023
The firm needed an enhanced framework for risk assessment and portfolio credit analysis. Develop a structured methodology for evaluating probability of Default (PD) and Loss Given Default (LGD) in portfolios. Designed and implemented DCF-based credit risk valuation models to quantify portfolio risk and developed interactive dashboards using Tableau and Power BI for visualization. Enhanced risk assessment capabilities, leading to a 12% reduction in portfolio risk exposure and improved investment decision-making efficiency.
Portfolio Analyst intern
Shri Krishna Trading Firm 2022 - 2022
Portfolio volatility was significantly impacted by fluctuating market conditions. Improve trading efficiency and reduce risk exposure through optimized hedging strategies. Executed options and futures trades in Asian markets, used Monte Carlo simulations for risk estimation, and performed a technical analysis using moving averages, RSI and Bollinger bands. Successfully reduced portfolio volatility by 18.8%, enhancing risk-adjusted returns and boosting trading efficiency by 8%.
Skills
python
analyst
english