Rupendra Singh Saran
Lead Assistant Manager at Exl
Based in Rajasthan, India
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Seniority
Manager
Department
Operations
Location
Rajasthan
Industry
Business Consulting and Services
Company size
59K
Contact information
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r•••••••@exlservice.com
Phone
5 credits+91 ••• •••• ••••
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Background
About Rupendra Singh Saran
Highly analytical and results-driven professional with 3.5+ years of experience in dynamic financial markets. My career has been focused on leveraging data, technology, and quantitative insights to support trading strategies and manage risk. At Axxela Research & Analytics, I serves as a Senior Market Analyst on the US futures trading desk. In this role, I am deeply involved in analyzing market dynamics for Interest Rate and Equity Index futures, I have a proven track record of spearheading initiatives that significantly reduced manual effort, improved data accuracy, and provided actionable insights for a high-volume trading environment. My technical toolkit includes strong proficiency in Python (Pandas, NumPy, Scikit-learn, Matplotlib), SQL, Advanced Excel & VBA, and familiarity with financial platforms like Eikon. I have applied these skills to a variety of impactful projects, including developing algorithmic execution simulators, and conducting in-depth data analyses (such as an analysis of Uber's NYC demand patterns to uncover growth metrics and user behavior, and customer segmentation using K-Means clustering). My internship experience in Machine Learning further honed my skills in NLP and data processing. I am passionate about solving complex problems at the intersection of finance, technology, and data. I thrive in fast-paced, collaborative environments and am always eager to learn and apply new methodologies. My experience also includes leadership and project management, demonstrated through roles like Joint Secretary of the SAE Collegiate Club at IIT BHU and managing events for our annual technical fest, TECHNEX.*Specialties: Quantitative Analysis, Data Analysis, Python, SQL, Financial Markets, Futures Trading, Risk Management, Operational Efficiency, Process Automation, Machine Learning (Conceptual & Applied), Problem Solving, Data Visualization, Trade Reconciliation, P&L Analysis.*
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