Palak Gupta

Business Analyst

Netherlands3 yrs 9 mos experience

Highly StableAI Enabled

Key Highlights

Expert in quantitative finance and data science.
Proven track record in enhancing operational efficiency.
Strong foundation in financial analysis and modeling.

Stackforce AI infers this person is a Fintech professional with expertise in data science and quantitative finance.

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Skills

Core Skills

Data ScienceQuantitative Risk AnalysisQuantitative Finance

Other Skills

Predictive ModelingData AnalysisPythonSQLData ModelingData SecurityKafkaData EngineeringProject ManagementTeam LeadershipSoftware DevelopmentAlgorithm DesignWeb DevelopmentTensorFlowStatistical Modeling

About

With a strong technical foundation and a deep enthusiasm for data-driven solutions, I am a finance and technology enthusiast with a Master’s degree in Big Data and Business Analytics from ESCP Business School. I aim to bridge the gap between finance and technology by leveraging AI, data science and quantitative analysis to drive insights and innovation in financial markets. Previously, I worked as an Associate at Goldman Sachs, where I designed and implemented software applications to streamline operational workflows and enhance client experiences. My work involved applying financial and analytical expertise to improve efficiency and decision-making processes. I have successfully passed the CFA Level I exam, further solidifying my foundation in investment analysis, portfolio management, and financial reporting. Additionally, I hold multiple certifications in financial markets, Python, and data analysis and have received several honors and awards for academic and technical excellence. My expertise includes: 📊 Quantitative Finance – Portfolio Management, Monte Carlo Simulation, Factor Analysis 📈 Data Science & Analytics – Machine Learning, Statistical Modeling, Predictive Analytics 💻 Programming & Tech – Python, SQL, R, C++ I am currently seeking opportunities as a Quantitative Analyst, Quantitative Researcher, or Data Scientist in Fintech companies and financial institutions. I'm eager to collaborate with professionals who share my passion for finance and technology, exploring innovative solutions that push the industry forward. 🚀 Let’s connect and discuss all things finance, analytics, and technology!

Experience

3 yrs 9 mos

Total Experience

3 yrs 2 mos

Average Tenure

7 mos

Current Experience

Atradius

Quantitative Analyst

Oct 2025 – Present · 7 mos · Amsterdam, North Holland, Netherlands · On-site

Bdo germany

Data Science and Quant Risk Intern

Aug 2024 – Nov 2024 · 3 mos · Frankfurt am Main, Hesse, Germany · On-site

Implemented time-series forecasting models to predict expected income trends from historical loan interest data, enabling automated anomaly detection and audit checks with >90% precision, significantly streamlining financial compliance workflows.
Automated interest income verification process for €500M+ loan portfolio of JPMSE, reducing processing time from 1 week to 10 mins.
Developed a Python-based model validation framework to automate the end-to-end validation of predictive models across 7+ validation areas, cutting manual validation time by over 80% and enhancing regulatory compliance efficiency.

Predictive ModelingData ScienceQuantitative Risk Analysis

Goldman sachs

3 roles

Associate

Dec 2022 – Sep 2023 · 9 mos · Bengaluru, Karnataka, India

Designed and deployed data pipelines for efficient storage and querying of trade data in the data lake, decreasing data retrieval time by 60% and streamlining compliance reporting.
Enhanced post-trade matching logic and revamped mismatch alert workflows, boosting GS-executed trade matching accuracy from 96% to 99.9% and reducing settlement failures, resulting in ~$200K/year in cost savings and significantly improving operational efficiency.
Secured payment processing APIs by implementing GS-authenticated REST endpoints, ensuring controlled access and compliance with internal risk protocols across high-value cash management workflows.

SQLData ModelingData ScienceQuantitative Finance

Analyst

Jul 2020 – Dec 2022 · 2 yrs 5 mos · Bengaluru, Karnataka, India

Built a large-scale and distributed Kafka-based application to ingest, normalize, and route ~200k daily trade allocations from Prime Brokerage clients, ensuring seamless downstream trade booking, while following Agile/Scrum practices and managing development via Jira.
Led a team of 5 analysts, overseeing the migration of ~800 clients to a new trade management system under tight deadlines.
Single-handedly developed the feature of Offline trades processing on the new Tradefiles system and migrated 100% of clients from the legacy to the new system.

Summer Analyst, Equities Technology

Jun 2019 – Aug 2019 · 2 mos · Bengaluru, Karnataka, India

Automated the root cause analysis of application failures by designing and implementing an efficient algorithm to detect the failures in real-time and display them in the web analytics dashboard, thus reducing operational risk and giving experts more time to resolve them.