Data Scientist (Finance) - augmentjobs

Job Title: Data Scientist (Finance)

Job Description: We are looking for a talented and experienced Data Scientist specializing in finance to join our team. As a Data Scientist in finance, you will utilize advanced analytics, statistical modeling, and machine learning techniques to extract insights and solve complex financial problems. Your role will be instrumental in leveraging data-driven approaches to enhance decision-making, risk management, and operational efficiency within our organization.

Roles and Responsibilities:

• Utilize statistical analysis, machine learning, and predictive modeling to extract insights from financial data sets.
• Develop and implement algorithms and quantitative models to optimize investment strategies, portfolio management, and risk assessment.
• Collaborate with portfolio managers, traders, and investment analysts to identify opportunities and mitigate risks based on data-driven insights.
• Clean, preprocess, and analyze large datasets from various sources, including market data, financial statements, and economic indicators.
• Build and deploy scalable data pipelines and automated processes for data extraction, transformation, and loading (ETL).
• Conduct research on emerging trends and technologies in finance and data science to innovate and improve analytical methodologies.
• Communicate findings and recommendations to stakeholders through visualizations, reports, and presentations.
• Ensure compliance with data privacy regulations and ethical standards in data science practices.

Skills Required:

• Master's or Ph.D. degree in Data Science, Statistics, Computer Science, Economics, Finance, or a related quantitative field.
• Proven experience (X years) as a data scientist in the finance industry, with a strong track record of applying advanced analytics to financial problems.
• Proficiency in programming languages such as Python, R, or SQL, with experience in data manipulation, statistical analysis, and machine learning libraries (e.g., pandas, scikit-learn, TensorFlow).
• Solid understanding of financial markets, investment principles, and quantitative finance concepts.
• Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) for large-scale data processing.
• Strong analytical and problem-solving skills, with the ability to interpret complex data sets and extract meaningful insights.
• Excellent communication skills, including the ability to translate technical findings into actionable insights for non-technical stakeholders.
• Ability to work independently and collaboratively in a fast-paced and dynamic environment.

Compensation: The compensation package for this position includes a competitive base salary commensurate with experience and qualifications. Additional benefits such as performance-based bonuses, stock options, health insurance, and retirement plans may be offered.