Job Information
Robert Half Financial Data Analyst in Charlotte, North Carolina
Description
We are recruiting for a Data Scientist to join our team in the Financial Services industry, based in Charlotte, North Carolina. As a Data Scientist, you will be responsible for implementing data cleansing and transformation processes, performing exploratory data analysis, and applying machine learning algorithms to develop predictive models. This role offers a contract to hire employment opportunity.
Responsibilities:
-Required
Experience in Financial Services, some experience in Fraud or AML along with strong Python and SQL.
• Implement data cleansing and transformation processes using SQL, Python, and Alteryx to ensure data quality and readiness for analysis.
• Perform Exploratory Data Analysis (EDA) using Python libraries (Pandas, NumPy, Seaborn) to uncover trends, patterns, and anomalies in data.
• Utilize Python Label Encoder, and OneHotEncoder methods for categorical variable analysis.
• Enhance predictive accuracy by developing and fine-tuning models using Python and Spark.
• Apply machine learning algorithms such as decision trees, SVM, random forest to develop predictive models for various business applications including fraud detection and customer segmentation.
• Analyze massive datasets using artificial intelligence (AI) to provide insights into reducing risks, enhancing decision-making efficiency, and optimizing lending practices.
• Conduct internal audits and data analysis to ensure compliance and efficiency.
• Utilize data visualization techniques to present complex data in a comprehensible manner.
• Leverage extensive knowledge of SQL to answer complex queries and maintain databases.
• Utilize advanced analytics skills to drive data-driven decision making.
Requirements • Proficiency in Microsoft SQL and Python programming languages.
• Demonstrated understanding and application of data mining techniques.
• Experience in auditing within the financial services industry.
• Knowledge and practical application of data science concepts.
• Familiarity with Anti Money Laundering (AML) regulations and procedures.
• Ability to analyze complex financial data and draw meaningful conclusions.
• Strong communication skills to effectively relay insights from data analysis.
• Detail-oriented and capable of maintaining high accuracy in work.
• Proven ability to handle sensitive and confidential information.
• Bachelor's degree in Finance, Economics, or a related field.
• Professional certification in data analysis or a related field is preferred.
• Ability to work collaboratively as part of a team.
• Strong problem-solving skills and analytical thinking.
• Flexibility to adapt to changing business needs and deadlines.
Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
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All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
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