Data Analyst

Securities Litigation and Consulting Group; McLean (VA); On-site; USD 80,000 - 120,000; Full time

Job summary

Securities Litigation and Consulting Group in McLean, Virginia is seeking a Data Scientist with a Master's degree in Data Science or a related field. The successful candidate will utilize advanced statistical techniques to process financial data and create insightful reports. Responsibilities include improving financial models, conducting regression analysis, and providing support during securities litigation. Proficiency in R, SQL, Python, and other analytical tools is essential. Join a dynamic team focused on delivering high-quality financial insights.

Qualifications

• Master's Degree in a quantitative field is required.
• Strong analytical and quantitative skills are necessary.
• Experience with data visualization and web scraping is beneficial.

Responsibilities

• Process clients' financial data using advanced statistical techniques.
• Improve financial models and valuation codes.
• Create visualizations for data insights.
• Assist experts with financial data summary reports.
• Provide support during securities litigations.

Skills

Statistical data analysis

Quantitative analysis

Regression analysis

R

SQL

Tableau

Excel

Python

MATLAB

VBA

Education

Master's Degree in Data Science, Machine Learning, Statistics, or another quantitative science

Tools

Statistical software

Analytical software

PowerPoint

Job description

Apply deep knowledge of statistical data science fundamentals and solid quantitative and analytical skills in working with complex data sets, conducting multiple regression analysis, and leveraging other statistical tools like R, SQL, Tableau, Excel, etc.

Job Duties:

• Process various clients' financial data sets using advanced statistical, quantitative, econometric techniques and create statistical financial data reports using analytical or scientific software, such as Python, MATLAB, R, VBA, Excel, and PowerPoint.
• Improve efficiency of the financial models and valuation codes by using deep learning and optimization skills, such as parallel computing.
• Research and acquire additional sources of financial data, including web scraping to help researchers and financial industry experts with insightful information.
• Create visualizations, such as heatmaps or dashboards that are interactive, intuitive, and informative.
• Apply mathematical or statistical techniques to assist testifying experts/consultants with the preparation of financial data summary reports or customized data queries.
• Provide financial data support to our Financial Economists as they serve as expert witnesses before courts and arbitration panels during securities litigations and disputes.

Requirements:

Master's Degree in Data Science, Machine Learning, Statistics, or another quantitative science related field.