Cagla Akin

Cagla Akin

Finance Manager @ Amazon

About

I am a tech professional with over 7 years of experience in operations, finance, and product management. I take a data-driven approach to solving complex problems, using Python, SQL, and Quicksight to deliver impactful solutions. My PhD-level training in applied sciences equips me to leverage causal inference and advanced analytics to optimize business outcomes. I have a proven track record of leading global, cross-functional teams and managing complex financial and operational strategies. My product management experience includes building features and datasets, leading agile teams, and delivering impactful solutions while balancing stakeholder needs and technical feasibility from concept to execution.

Country

United Kingdom

City

London

Industry

Internet

Skill

Research, Financial Modeling, Financial Analysis, Data Analysis, Business Valuation, Statistical Modeling, Project Management, Microsoft Excel, Matlab, Stata, Teamwork, Communication, Financial Statement Analysis, Python (Programming Language), Bloomberg Terminal, Multi-task & Handle High-volume Workloads

Experience

Amazon

Finance Manager

Amazon

LinkedIn
2023-1 - Present · 3 yrs 9 mos

London, England, United Kingdom

WW Ops Finance - Standardization & Automation • Working as a Senior Product Manager while officially titled as Finance Manager, leading Global Input Standardization for Amazon's financial planning platform for Worldwide Operations. • Executed product strategy of Amazon's facilities dataset, to reduce manual workload and save maintenance costs. • Executed financial strategy for Amazon's retail inventory across Europe and Japan, aligning Retail and Operations. • Managed executive-level stakeholder communications, aligning financial objectives with broader business goals to drive strategic decision-making.

Amazon

Senior Financial Analyst

Amazon

LinkedIn
2020-11 - 2023-1 · 2 yrs 3 mos

London, England, United Kingdom

Supply Chain Optimization Technologies • Led the product development and built the data infrastructure for Amazon's shipment cost anomaly detection tool that identified hundreds of million in free cash flow opportunities. • Facilitated cross-functional collaboration among scientists, data engineers and product teams to define the product vision, shape strategy, and develop the roadmap. • Developed business metrics for capacity controlling systems managing Amazon's retail inventory, providing enhanced visibility into business and financial impacts to support data-driven decision-making.

Amazon

Financial Analyst

Amazon

LinkedIn
2019-8 - 2020-10 · 1 yr 3 mos

Seattle, Washington, United States

Supply Chain Optimization Technologies • Designed and built a dynamic scenario analysis tool that reduced Amazon’s global delivery times from 21 to 5 days during COVID-19, enabling faster delivery of essential supplies to millions of customers globally. • Built delivery speed prediction model for Amazon's one-day delivery program, balancing technical feasibility with user needs. • Developed financial metrics for labor plan accuracy, identifying annual cost savings and improving forecast accuracy.

Carnegie Mellon University - Tepper School of Business

Doctoral Researcher - PhD Candidate

Carnegie Mellon University - Tepper School of Business

LinkedIn
2016-8 - 2019-5 · 2 yrs 10 mos

Conducted research in banking, financial markets and energy markets. · Shadow Banking & Small Business Loans (Best Doctoral Student Paper Award by AAA): Investigated the policy implications of the Fed’s shadow banking regulations on small business loans. Showed that the market risk does not decline as intended but shifts to other banks. Credit supply of the lowest income borrowers declines by 9.4% as a spillover effect. · Liquidity Risk in Municipal Bond Markets: Created hand-collected novel data via utilizing web scrapping and developed information transparency measure for local governments. Constructed liquidity risk measure for the bonds using trade data and assessed the correlation with information transparency using linear regression model. Proved the hypothesis that increased financial information transparency reduces liquidity risk of the municipal bonds. Provided supportive evidence for potential SEC supervision in the market. · Accounting & Energy Markets: Analyzed the effects of public disclosure on emission behavior of power plants in the US using linear and logistic regression models. Identified a 4% reduction in greenhouse gas emission resulting from the disclosure requirement and documented a more prominent effect for publicly owned plants.

Deloitte

Financial Advisory Associate

Deloitte

LinkedIn
2015 - 2016 · 1 yr

Istanbul, Turkey

· Managed financial due diligence process for mergers & acquisition transactions across retail, tech and telecommunication industries. · Prepared classified reports that detail the financial and operational performance of the target companies to facilitate the negotiation between buy and sell sides. · Conducted detailed analysis of EBITDA, working capital and net debt; reviewed management forecasts and decisions.

UC San Diego

Research Assistant

UC San Diego

LinkedIn
2015 - 2016 · 1 yr

· Collaborated with Prof. Marta Serra-Garcia on a behavioral economics experiment by handling data collection for the project remotely.

Turkish Treasury

Public Finance Intern

Turkish Treasury

LinkedIn
2014 - 2014

Ankara, Turkey

· Led research on cash management in public finance. Identified risk factors that associate with debt, budget and liquidity management branches of the government treasury. · Analyzed effectiveness of alternative budget control mechanisms in terms of cash and liquidity management. Provided recommendations for restructuring of budgeting systems in government entities.

Education

Imperial College London

Imperial College London

LinkedIn
Carnegie Mellon University - Tepper School of Business

Carnegie Mellon University - Tepper School of Business

LinkedIn

Business Administration (Accounting)

2016 - 2019 · 3 yrs

Honors: William Larimer Mellon Fellowship for Doctoral Studies Achievement: Best Doctoral Student Paper Award by American Accounting Association

Università Bocconi

Università Bocconi

LinkedIn

Finance and Economics

2014 - 2014

Recipient of Comprehensive Scholarship for International Students for MS in Finance

Bilkent University

Bilkent University

LinkedIn
2011 - 2015 · 4 yrs

Honors: Dean's High Honor List Specialization: Finance and Quantitative Analysis

Cagla Akin's Contact Information

Email

******@***.com

Phone

(**) *** ****

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