Job Title: Data Scientist (Finance)

Job Summary: We are looking for a talented and experienced Data Scientist specializing in finance to join our team. The Data Scientist will leverage advanced analytics, machine learning, and statistical modeling techniques to extract insights and drive data-driven decisions within our finance department. This role requires a deep understanding of financial markets, quantitative analysis skills, and the ability to work with large datasets to solve complex problems.

Responsibilities:

• Develop and implement predictive models, algorithms, and machine learning solutions to analyze financial data and extract actionable insights.
• Conduct exploratory data analysis to identify trends, patterns, and anomalies in financial datasets.
• Collaborate with cross-functional teams (finance, risk management, operations) to design and implement data-driven solutions that optimize business processes and improve decision-making.
• Build and maintain statistical models for risk assessment, portfolio optimization, fraud detection, and other financial applications.
• Perform data preprocessing, cleansing, and transformation to ensure data quality and consistency.
• Utilize programming languages (such as Python, R, or SQL) and analytical tools to manipulate and analyze large datasets from various sources.
• Communicate findings and insights to stakeholders through visualizations, reports, and presentations.
• Stay updated on industry trends, best practices, and emerging technologies in data science and finance.

Skills Required:

• Strong quantitative and analytical skills with proficiency in statistical analysis, machine learning algorithms, and predictive modeling.
• Experience working with financial datasets and applying quantitative techniques to solve business problems.
• Proficiency in programming languages and tools used in data science, such as Python (NumPy, Pandas, Scikit-learn), R, SQL, and data visualization libraries (e.g., Matplotlib, Seaborn).
• Knowledge of financial markets, products, and instruments (e.g., equities, fixed income, derivatives).
• Ability to work independently and as part of a team, with strong communication and collaboration skills.
• Detail-oriented approach with a commitment to data accuracy, quality, and integrity.

Compensation: Compensation for this full-time position will be competitive and commensurate with experience and qualifications. Benefits package includes health insurance, retirement savings plan, paid time off, and opportunities for professional development.

Education and Experience:

• Bachelor's degree in Data Science, Statistics, Mathematics, Finance, Economics, or a related field is required. A Master's degree or PhD in a relevant discipline is preferred.
• Minimum of 3-5 years of experience as a Data Scientist, preferably within the finance industry or financial services sector.