Jatin

Financial Analyst with 4+ years of experience across JPMorgan Chase and Bajaj Finance specializing in FP&A, financial planning cycles, and executive-level management reporting. Proven expertise in driver-based forecasting, budget vs. actuals analysis, variance management, and profitability optimization across large-scale financial portfolios. Adept at building scalable financial models, streamlining month-end close and reporting cycles, and delivering actionable insights that support CFO-level decision-making.

Recognized for improving forecast accuracy, reducing reporting turnaround time, and enabling data-driven financial planning through structured analysis and performance tracking frameworks.

Financial Analyst - JPMorgan Chase - Florida, USA

(2023-08)

• Built an automated FP&A forecasting model using Python and Excel (Power Query, VBA), consolidating actuals from Oracle Financials, SAP, and GL feeds across 6 business units into a unified revenue forecasting and budget vs. actuals framework.
• Reduced the monthly variance analysis cycle from 5 days to 1.5 days and improved forecast accuracy by 18%, directly supporting executive decision-making during quarterly financial planning cycles.
• Redesigned the quarterly budgeting workflow by automating SQL-based ETL pipelines for data ingestion, eliminating 3,000+ manual reconciliation entries per cycle and saving approximately 120 analyst-hours quarterly.
• Developed a Tableau KPI reporting dashboard for senior leadership visualizing budget vs. actuals variances at cost-centre granularity, enabling real-time identification of $4.2M in controllable overspend across three quarters.
• Modeled a 12-month rolling cash flow forecast with scenario-based sensitivity analysis in Excel, incorporating macroeconomic assumptions and revenue seasonality; adopted as the division's primary financial planning tool for FY2025.
• Partnered with Credit Risk leadership to build a Power BI portfolio monitoring report tracking 15 KPIs across a $2.1B loan portfolio, influencing proactive risk reviews on 9 accounts and presenting findings directly to the VP of Risk.
• Automated the monthly DFAST regulatory reporting package using Python (pandas, openpyxl), ensuring full US GAAP compliance and SOX data governance controls, cutting preparation time by 65% and eliminating recurring audit findings.
• Led a cross-functional profitability analysis with Treasury and Operations leadership, identifying $1.8M in redundant vendor contracts and presenting the business impact case that directly informed procurement renegotiations.

Associate Financial Analyst - Bajaj Finance - India

(2020-06 - 2022-07)

• Automated the month-end financial close reporting process using VBA macros and Power Query, consolidating SAP and Tally ERP data into a unified model, reducing manual effort by 40% and improving reporting turnaround time by 2 days.
• Built a multi-period budget vs. actuals variance analysis framework in Excel across 8 P&L line items, surfacing a recurring 12% unfavorable COGS variance a finding that drove a corrective operational change adopted company-wide.
• Designed and owned a Tableau KPI reporting dashboard for senior finance leadership, tracking departmental budget utilization, headcount costs, and capex burn rates replacing 14 static reports and enabling financial storytelling that improved executive decision-making cadence.
• Conducted data governance and anomaly analysis on 3 years of transactional data (2M+ rows) using SQL and Python, recovering $620K in overbilled vendor invoices and establishing data quality protocols adopted by the finance team.
• Prepared and delivered quarterly financial statements and board-level management reporting packs in compliance with Ind AS and IFRS, managing reporting for a $50M+ business unit and ensuring 100% on-time submission across two global stakeholder teams.
• Modeled a 3-year strategic financial plan using scenario-based revenue forecasting in Excel, with sensitivity analysis on margin compression and working capital cycles to support capital allocation decisions.
• Mentored 2 junior analysts on financial modeling best practices, Excel automation, and data governance improving team output velocity by 25% during peak reporting season and establishing a reusable modeling playbook adopted across the finance function.

Master of Science - Information Technology and Management - Florida Atlantic University

Bachelor of Technology - Computer Science and Engineering - Jawaharlal Nehru Technological University