Christopher Pegram, Ms Email & Phone Number

Washington, Dc, Us

Washington, District Of Columbia, United States

Responsible for the development and maintenance of client engagements as it relates to advanced analytics and statistical solutions. Provides hands on analytical advancements and initiatives including data mining, performing ETL/data transformations, development of predictive machine learning scripts in Python, and the development of analytical visualizations to promote actionable responses. Performs engagement management responsibilities, including performance reviews, task delegation, project scheduling, quality review, and client management.

Hanover, Md

Leverage risk assessment analysis to identify and mitigate program cost and scheduling risk for annual funding and expenditure. Prepare budgets and schedules for all contract work and perform financial analyses including funding profiles, sales outlooks, and variance analytics. Conducted Tableau demonstrations, and assisted with Python algorithms.

Washington D.C. Metro Area

Defined newly created role. Reduced losses to American taxpayer by originating the data modeling process for analyzing and evaluating companies that the Department of Energy funds. Presented over twenty financial analysis presentations and made recommendations to executive management on the financial condition of hundreds of companies.

Silver Spring, Md

Developed annual budget by working closely with cross-department heads to prepare “bottom-up” budget that align with the “top-down” strategic plan. Led global meetings to discuss $500M monthly revenues and expenditures to identify areas of opportunity across eight international regions. Created monthly senior management reports and presentations.

Dc

Project management of financial system overhaul to align the organization’s software library with modern architecture. Ensured new financial system returned accurate results by testing numerous scenario simulations and SQL queries. Conducted risk management of $500B in mortgage-backed and derivative securities.

Washington D.C. Metro Area

Defined new role by developing methodology for damage calculation models utilized in successful class action lawsuits. Persuasively presented to firm partners a cost-benefit analysis for acquiring a Bloomberg Terminal to aggrandize the organization’s financial services available to clients. Developed strategies that provided municipalities with research and analytics to determine the validity of potential financial damage claims.

Washington D.C. Metro Area

Oversaw all accounting operations of the Early Lender Funding program. Generated financial reporting including 10K, 10Q, and various statements of cash flows. Responsible for the reconciliation of $6B mortgage-backed securities.

Washington D.C. Metro Area

Prepared and presented interpretations and detailed financial analyses of $8B in mortgage-backed securities to accounting and operations management. Daily meetings with trustees to resolve bond related inquires and payment discrepancies. Routinely performed ad hoc research request for management stakeholders.

Bethesda, Md

Responsible for determining and contrasting collateral structures of European Structured Finance Deals valued at $50B. Analyzed data and established transaction models for mortgage-backed, asset-backed, and collateralized debt obligations.

Tysons Corner, Va

Managed and extrapolated spread and pricing movements on asset-backed, mortgage-backed, corporate, and derivative securities totaling $20B. Daily contact with brokers to discuss bond prices and other trade related details. Created the procedures and trained coworkers on the pricing and positioning of synthetic debt obligation accounts.

Tysons Corner, Va

Ensured that trade activity did not violate compliance requirements. Monitored portfolio funds in excess of $6.5B. Established proper hedging for corporate bond trades.

Master Of Science In Business Analytics, 3.77

Joint degree between Darden School of Business and McIntire School of Commerce. Heavy focus on statistical analysis, machine learning.

Master Of Science In Business Analytics, 3.77

Joint degree between Darden School of Business and McIntire School of Commerce. Heavy focus on statistical analysis, machine learning.

Bachelor Of Business Administration (Bba), Finance/Economics

Activities and Societies: Member of National Society of Collegiate Scholars