Srishti Singla

Business Development Executive

Bengaluru, Karnataka, India7 yrs 5 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Strong academic background in Finance and Math.
Experience in Machine Learning and Predictive Modeling.
Internships at top firms like D.E. Shaw and American Express.

Stackforce AI infers this person is a Fintech professional with expertise in quantitative analysis and machine learning.

Contact

Skills

Other Skills

Microsoft OfficeMicrosoft ExcelC++MatlabMicrosoft PowerPointBig Data AnalyticsPythonRMachine LearningQuantitative Finance

About

My rigorous academic background in Finance, Math, and Coding plus internships at the intersection of Technology, Big Data & Finance (D.E. Shaw & AmEx) using Machine Learning and Predictive Modeling underlie my belief that the convergence of quantitative and fundamental analysis will result in making better than ever investment decisions.

Experience

7 yrs 5 mos

Total Experience

1 yr 10 mos

Average Tenure

4 yrs 9 mos

Current Experience

Alphagrep securities

Associate, Quantitative Research and Trading

Aug 2021 – Present · 4 yrs 9 mos · Bengaluru, Karnataka, India

Barclays investment bank

AVP - QIS Trading

Aug 2020 – Jul 2021 · 11 mos · New York, New York, United States

Princeton university

Assistant Instructor

Sep 2019 – Aug 2020 · 11 mos

Asset Pricing, Research projects in Data Science

Barclays

Summer Associate

Jun 2019 – Aug 2019 · 2 mos · New York City Metropolitan Area

Quantitative Trading: Rotated with Rates Structured Notes Trading, Exotic Equity Derivatives Trading, High Grade Credit Trading
Received full-time job offer to join Quantitative Investment Strategies Trading team as an associate trader.

Indian institute of technology, delhi

Teaching Assistant

Jul 2017 – May 2018 · 10 mos

Statistical Methods, Analysis and Design of Algorithms

The d. e. shaw group

Summer Intern

May 2017 – Jul 2017 · 2 mos · Greater Hyderabad Area

Worked as a part of Financial Research/Fundamental Research team. Analysed big data for building statistical models to predict company reported metrics. Carried out data analytics around consumer preferences and purchase behaviour to gain useful consumer insights.
Received full-time job offer to join Fundamental Research/Financial Research Department as a research analyst.

American express

Summer Intern

May 2016 – Jul 2016 · 2 mos · Gurugram, Haryana, India

Member of Risk and Information Management team. Worked towards optimising the process of identification of defaulters by conducting an in-depth analysis of various machine learning algorithms primarily decision tree building algorithms.
Received full-time job offer to join Risk and Information Management Department as a research analyst.