Credit Analyst Accounting Associate
Resume:
Kathleen A. Martyn
914-***-**** *********@*****.*** Scarsdale, New York
linkedin.com/in/kathleen-martyn-917775235 https://github.com/kmartyn30
Analyst with experience in real estate representation for residential markets and financial investment management. Previous experience includes treasury and international investment analytics, specialists within mid-office liaisons for brokers and leading corporate divisions. Additionally, project-driven mindset to articulate within legal and credit restructuring frameworks and budget-conscious reports. Business-oriented with impeccable organization, communication, and critical thinking skills. Adept in investment functions and collateral management processes for financial activity, treasury cash management, and investment functions. Vigorously versed in performing financial analytical reports, ensuring the accuracy of risk reporting, goals driven for treasury data forecasting for cash management and statutory compliance with accounting regulations. Team-oriented with strengths in analytical problem solving and collaborating across diverse groups with the mindset of making technical information palatable to non-technical audiences and producing detailed reports.
Technical Skills
Languages:
Python, SQL, R, Google Colab
Applications:
GitHub, MongoDB, MySQL, Admin PostgreSQL, AWS, Tableau,
Tools:
Excel, Seaborn,Scikit learn, TensorFlow, Pandas, Jupyter Notebook. Additional: PowerPoint, Google slides, Google docs, Microsoft Word, Microsoft Excel, Bloomberg systems, Quicken, SQR, SQL programming; trade application and process operations for the trading floor; AS400, DML, Athena, Portia, DML, CAS4, CAS6, Swift, Chips, DTC, Federal Reserve System, experiences with federal reverse systems and over forty Bank clearing systems; Lexis Nexus (legal), Performer (tax). CFA Institute member. In addition, skills including fundamental Statistics and Fundamental Statistics Modeling and Forecasting.
Projects:
Insurance Fraud ~ collaborative project
https://docs.google.com/presentation/d/1Kqg4VxGIBhvxGd6hIgtuKK1-R0r5WAyUmQv13MjzqvI/edit#slide=id.g1cba7955492_0_6
~Scrub and streamline data, e.g. drop the insured names.; Use Supervised Machine learning methodology; Built a Logic regression model; Test Model on out of sample data; The data set will be described how it will be split into training and testing.; Visualization with Tableau will be presented to show fraud variation.;Jypter notebook /Python heatmap using seaborn. Data Kaggle.com
https://github.com/mbandyo/Insurance-Claims-Analysis
Python Data visualization is written in GitHub
https://github.com/kmartyn30/Cryptocurrencies
~Cryptocurrencies ~ unsupervised machine
learning proposal. This project based on cryptocurrency algorithms to reduce high-stake components using PCA, K-means clusters of the cryptocurrencies with three-dimensional, elbow curves, and additional visualization.
Tools: In Python using pandas, Sklearn, plot.pandas, Plotly.
Mechanical Car Statistical Analysis R
and (tidyverse) https://github.com/kmartyn30/MechaCar_Statistical_Analysis
~This project showcased the linear regression model to predict mpg testing using p-value and other statical calculations to determine on MechaCars.
Tools: R language, library(tidyverse) ggplot, and statistics
Neutral Network Charity Analysis
deep learning models in machine learning
https://github.com/kmartyn30/Credit-Risk-Analysis
~ This project aimed to determine logical regression vs. neutral network, support vector machine, and random forest vs. deep learning model to invest more than 34,000 organizations. In this methodology, the data for a neutral network tested data to predict where to make investments for loan prediction risk analysis that would be accurate and implicate the potential losses.
Tools: io, pandas, Tensorflow,SKlearn.model and Sklearn.processing, Google Colab
Citi bike sharing program investment.
proposal ~Tableau Data visualization
https://github.com/kmartyn30/Citbike_program
~This project showcased the proposal of key stakeholders Citi bike investment in a bike-sharing program located in Des Moines the data analytics were to be determined with tableau visualization model if it was a solid business proposal.
Tools: Python, Tableau
Professional Experience
Licensed Real Estate Salesperson 2014 - Current
Berkshire Hathaway HomeServices New York Properties, Scarsdale, New York
Keller Williams Realty
Julia B. Fee Sotheby's International Realty
• Research performance listing within the criteria of clients' specifications to determine the competitive market price and financial risk. Generate comparative property market reports advising potential home buyers and sellers. Interviewed prospective clients, accompanied clients to property sites for viewings, discussed conditions of sale, and drew up real estate contracts.
• Conducted market research to appropriately appraise property values and draft comparative reports based on desired properties for potential clients. Generated client led to buy and sell the property and followed up on potential prospects. Provided economic market conditions and prices, acting as an intermediary in negotiations between buyers and sellers.
• Presented properties to buyers through house showings and assisted sellers in navigating the sale process. Produced purchase agreements and all other necessary documentation to process transactions.
• Ensured clients received, with service, comparable analytical reports to examine for the best market prices for investment.
Accounting Associate Trust and Estates, 2000 to 2006
Thompson Financials, (Fast Tax), Iselin, N.J.
~ Prepared estates and trust accounting for clients for up to ten years. Supported software and computer technology staff on software updates. Processed estate and trust accountings on CAS6. Researched and utilized CCH for accounting and financial regulations.
Investment Trade Analyst/Specialist, 1997 to 1999
United Bank of Switzerland, Stamford, CT
Swiss Bank
Warburg Dillion Read
~ Analyzed and supported fixed income administration encompassing daily liquidity, cash accounting, funds concentration, reconciliation, report distribution, short-term investments, and overnight borrowings. This included provisional reports on various clients or broker’s request. Monitored daily cash transactions and documentation between traders and back office, operations to maintain overview and collaborative reports on secondary to the future analyst for operational clearance and investigation. Conducted data analysis with summation including visualization reports to be presented based on rejuvenated complex research inquires required or requested from various departments utilizing SQL for metadata, Athena, Portia, Excel, PowerPoint presentations.
• Engaged with synergic teams regarding quality data, regulations, operational reviews. Weekly department overviews were conducted for data reporting within multiple markets, such as equity investments, repo and reverse repo, MBS, swaps currency or interest rate exchange and treasury investments for portfolio balances and corporate research. Liaison middle office between the middle office such as traders, accountants, CFO, VP(s) for daily trading activities for stakeholders and reviewed and monitor transactional funding for twenty-five thousand corporate stakeholders applied the five stages of project management Lifecyle aligned with operations, treasury department, traders, and technology teams. Restructured business models for treasury department meta data. Liaison with bank's middle office and trader stakeholders daily historical system program discrepancies to be negotiated on trade platform. Implemented a middle office and served as intermediary for brokerage and operational departments with daily processing of trades and project reports that were investigated and compliance review projections. Assisted with the startup of the middle office and restructuring of equity and government division. • Trained college interns and trader assistants for trade support of operational, daily trading on systems and assistant trading position.
• Thrive multitasked on special projects for CFO and analyzed reporting distributed to tier executive management for all stakeholders. Including projected documentation support details with reports and presentations to upper CFO and COO regarding future market fixed income, with 10 to a 20-year projector. Conspired with traders and auditors in trade analysis for performance trade data controlling activity. • with trade operation support for daily broker transactions processing; broker-dealer; market to market; equities; fixed income; derivatives products. Along with weekly operations support overview report(s) on investment products such as mortgage back securities, interest rate, currency swaps; commercial paper; banker acceptance; commercial mortgage trades; municipal trades; fixed income products, government trading as well as a multitude of other financial products. • Actively conveyed positive extrinsic relationships with high standards at the same diligently completed confidential projects with care accountability for each applicable division.
Treasury & Money Market Specialist/Analyst, 1995 to 1997
Bank Austria, Greenwich, CT.
~ Contributions: Managed subsidiary companies on all payments and receivables for the bank.
• Guided and managed the integrity of cash management for the international subsidiaries and parent company within domestic and international regulations. Managed the bank's treasury products, and database files daily. Reported forecast future cash flows to management. Daily maintained cash operation with banking clearance. Report proceeding for operations, swift, chip payments, and receives to be consolidated, reconciled, and reported. Conferenced with corporations, banks, and clients on daily client transactions or transactional shifts based on economic review.
• Reviewed swap documentation and maintained treasury paying and receiving for parent and subsidiaries via payment systems, swaps (currency and interest rate); foreign exchange; swift, international telex.
• Restructured and reorganized the parent and subsidiary cash management procedures and operations manual and systems.
• Reviewed hedge products and assisted in trade clearance option products and futures.
• Analyzed and researched information reported to the audit team. Implemented daily futures market trades in interest rates, commodities, and currencies and managed all subsidiaries and parent banks.
• Executed and reviewed monthly currency and interest rate swaps; supported and exercised options parallel with trader and disbursements for interest rate and foreign exchange swaps; wire transfers domestic and international.
Cash Management Treasury Analyst, 1995 to 1996
Merrill Lynch, New York, New York
~ Contributions: Controlled the integrity of management and database files for cash management across the parent and subsidiaries for twenty-five thousand accounts or more. Coordinated technology department meetings and treasury department weekly meetings and itinerary. Managed all Merrill's treasury banking systems with the technology department oversight and coordinated projects with computer network department daily to meet program compliances. Participated in periodic regional banking relations meetings for 25-40 banks and operational systems with over 100 other domestic and global banks. Finally, banking systems were reviewed for Merrill Lynch clearance and compliance with federal regulations and security structure in cash management. Analyzed regional fee-based account analysis to identify unusual and excessive service fees to be minimized with cost analysis and reduction in operational overhead along with analyzed budgets with banking relations. Weekly external client-bank relationship tier management meetings on bank relationships and technology department relationships support. In addition, constant restructured cash analysis function for subsidiary offices.
Treasury Operations Analyst, 1993 to 1995
Fiduciary Trust Co. Int’l N. Y.
~ Contributions: Managed all aspects of cash management for parents and subsidiaries.
• Conducted the company's daily cash management treasury operations for corporate accounts. Ensured compliance with federal reserve regulations, security, and exchange, AIMR compliant. Cleared settlement confirmations for government securities and Federal security wire transfers and government securities and final cash settlements. Processed operation trades and settlements daily via the Federal Reserve. Reconciled and restructured paying and receiving functions for institutional and custodial accounts.
Treasury Analyst, 1991 to 1992
Metallurgy Inc., N.Y.
~ Contributions: Coordination daily corporate cash management procedures for the parent company and all subsidiaries. • Supported Investments of long and short-term instruments, including bank acceptance, letters of credit, and interest rate swaps. Daily managed twenty-five subsidiaries and parent company financial analysis and cash management, option trades; foreign exchange trades; loans, and equities markets. Reported and analyzed financials of various industry trends and evaluated financial exposures for credit lines for metal industries. Invested in instruments for monthly transactions such as commercial paper; banker's acceptances; repos; mortgage back securities; reverse repos; fixed-income bonds, municipalities; etc. Summarized risk exposure reports, trend analysis reporting, and bankruptcy reporting weekly to the president, treasurer, and vice president. • Wrote financial analytical reports and reviews for approved metallurgical and chemical orders for the client's release of orders and credit line. Report credit exposure for high-risk metallurgical companies and compare trend reporting. Conferenced daily to the Treasurer, Vice-President, and President analytical reports regarding daily trading, cash management forecast reports.
Legal & Credit Analyst 1989 to 1991
Nichimen America Inc., N.Y.
~ Contributions: Analyzed thirteen airlines for financial investments to restructure the equity positions.
• Created a program in Debase for sales and credit department to monitor credit analysis and credit lines.
• Analyzed corporations within all nine industries: metallurgical, airline, retail, chemical, banking, and other corporate finance and credit reviews with trend comparison and interest rate and currency swaps, and other hedge product documentation and clearance.
Educational background
Columbia University Engineering Data Analytics Bootcamp program (January 2023)
Graduate, REALTOR® Institute (GRI) Real Estate (current)
Master Applied Behavior Science, Manhattanville College, 2016 - 2017
Master of Science 2016; Fordham Graduate School of Education
Bachelor of Science Business Administration, Finance 1990; Manhattan College, Riverdale, N.Y.
Pre-Law (Paralegal Certification) Mercy College, White Plains, N.Y. 1997
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