Data Scientist I - Quantitative Finance

About Us

Data Analysis Incorporated (DAI) is the controlling entity of the O’Neil family of businesses. DAI and its subsidiaries operate in diverse industries worldwide, including global equity markets, health care, financial services, digital news, and insurance. Our global footprint allows our teams to be responsive to customer needs in a timely and efficient manner. We are dedicated to using technology and innovation to bring change and growth to our businesses. We believe in a dynamic workplace, creating engaging, informative products and services that help our customers succeed. Integrity is an essential characteristic for our firms and our associates 

Summary

Conducts research on predictive modeling, optimization, automation, and latent data structures, leveraging advanced statistical and AI techniques. Develops methods and tools to improve decision-making in quantitative finance and other domains. Works across the firm’s operating units to apply data science, machine learning, and AI-driven approaches to a range of strategic and operational challenges.

Duties and Responsibilities

• Conduct factor research to identify and analyze key drivers of investment performance.

• Develop predictive models to enhance investment decision-making, trade execution, and risk management.

• Research and implement electronic execution strategies to optimize market impact and trading efficiency.

• Apply AI and machine learning techniques to identify patterns, generate insights, and improve forecasting models.

• Design and refine robust, scalable methods for data analysis in finance and other business domains.

• Backtest and validate models and strategies to ensure robustness and practical viability.

• Collaborate with investment managers to integrate quantitative models into active strategies.

• Share research findings through reports, presentations, and internal knowledge-sharing sessions.

• Work on interdisciplinary projects within the firm’s operating units, applying AI and data science techniques to diverse challenges.

• Mentor junior team members and contribute to a culture of continuous learning and innovation.

Qualifications & Requirements

• Bachelor’s degree or higher in data science, math, engineering, or a related field
• 2-5 years prior experience working with project teams in a corporate environment
• Advanced skill with data science topics such as machine learning, data mining, statistics, and classification
• Advanced skill with SQL used to gather, analyze, and clean market data is required
• Advanced skill with Python libraries such as Pandas, NumPy, MlPy, MatPlotLib, and SciPy is required
• Working knowledge of tools such as R or MatLab is a plus
• Familiarity with financial statistics, common investment styles, and market cycles is a plus
• Familiarity with algorithmic trading & backtesting using Python (Zipline, PyFolio, AlphaLens, etc.) is a plus
• Personal interest in equity investments is a plus
• Highest levels of integrity and professional maturity
• Highly organized, analytical problem solver
• Collaborative teammate
• Clarity and precision in written and oral communication

Working Conditions

While performing the duties of this job, the employee is regularly required to sit, stand, walk and use hands to type. The noise level in the work environment is usually moderate. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Equal Opportunity Employer

Data Analysis Inc is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

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