Summary:

We are looking for a junior- to mid-level hands-on Data Scientist to work on large-scale data analytic capabilities and extract insights from structured and unstructured data. The primary focus will be in applying/developing data mining, machine learning and statistical techniques, conducting R&D on data science-integrated investment insights, and building high quality data-driven research and investment. This person will regularly engage in deep scientific research. Experience in text analytics and other unstructured data is plus; and previous experience of applying data science in equity research and the financial industry is also a plus.

Responsibilities:

• Evaluate and analyze structured and unstructured data sets and R&D data-driven solutions and insights
• Collaborate with research and investment teams to identify data science use cases and integrate new data sources into fundamental research and investment theses densification
• Iterate independently to formulate research problems, and develop, evaluate, and compare innovative modeling techniques
• Perform feature engineering, feature selection, data processing and develop data science process prototypes
• Summarize and communicate insights and relevance of data analysis clearly and succinctly to bring data into actionable insights
• Work with engineering team to deploy models, construct big data analytic pipelines and develop scalable data science capabilities
• Provide support to other data science initiatives to scale the firm’s analytics capabilities across business units

Qualifications:

• Master’s or advanced degree specializing in statistics, machine learning or related quantitative fields
• PhD preferred
• Solid written and verbal communications
• Deep understanding of statistical modeling techniques and machine learning algorithms
• Experience with text modeling, Natural Language Processing, Deep Learning and/or large language models is a plus
• Experience of applying data science in equity research and the financial industry is also a plus
• Fluency and extensive experience with Data Science languages such as Python and large-scale data analytics tools
• Experience with cleaning, aggregating, and pre-processing data from various sources
• Working experiences in SQL, and/or Snowflake
• Knowledge of cloud providers like AWS and Azure
• A team-player who is eager to learn, attentive to detail and well-organized

Compensation Details

The salary range for this role is $150,000-$200,000. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. This range is only applicable for jobs to be performed in New York City. An employee’s pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. This job is also eligible for a discretionary bonus. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), life insurance and other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, production, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

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