Hiring for Data Scientist :: Boston or Remote

Feuji Inc

Hybrid

Why this role

Pace

Steady

The fast-paced nature of this role is evident from the requirement to analyze large datasets and design predictive models to support asset allocation and risk assessment, indicating a high demand for timely and accurate insights.

Collaboration

High

Collaboration is a key aspect of the role, as it involves working with business and financial stakeholders to translate strategic objectives into analytical approaches and integrating analytical outputs with engineering teams.

Autonomy

Medium

The role requires a high degree of autonomy, as the data scientist must independently design, validate, and operationalize predictive models and maintain documentation and compliance standards.

Decision Impact

Team

The data scientist's work has a significant impact on decision-making, as they are responsible for influencing the evolution of the company's data ecosystem and the future of its platform.

Role Level

Individual Contributor

The complexity of the role is high, given the need to blend financial domain knowledge with advanced analytics and machine learning, and to work with cloud environments and modern data stack components.

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

Developed predictive models for asset allocation
Enhanced client personalization

Typical background

Master’s degree in Data Science, Computer Science, Statistics, Finance3+ years of experience in Data Science

Transferable backgrounds

Coming from Financial Analyst in a Wealth Management Firm
financial domain knowledge · risk assessment
The background in financial analysis provides a strong foundation in understanding financial instruments and risk modeling concepts, which are crucial for this role.
Coming from Data Engineer at a Tech Startup
data pipeline development · cloud environment familiarity
Experience in developing scalable data pipelines and working with cloud environments will be highly beneficial in maintaining reliable data ingestion and transformation.

Skills & requirements

Required

Data AnalysisMachine LearningData VisualizationSQLPython

Preferred

Cloud ComputingFinancial Modeling

Stack & domain

PythonRSQLSnowflakeTableauPower BICommunicationProblem-solvingData ScienceWealth ManagementFinancial Services

About the role

This role involves working closely with financial and technology teams to develop predictive models and data-driven solutions that enhance portfolio construction and client personalization, making it ideal for a data scientist with a strong background in financial services and a knack for translating complex data insights into actionable strategies.

Original posting from Feuji Inc

Data Scientist
St. Louis, MO; Boston, MA
Position Summary
We are seeking a highly capable Data Scientist with approximately three years of experience to accelerate our journey toward data-driven wealth management. In this role, you will partner closely with advisors, investment professionals, and technology teams to unlock insights that enhance portfolio construction, client personalization, and operational performance. This position blends financial domain knowledge with advanced analytics and machine learning, offering an opportunity to influence the evolution of our data ecosystem and the future of our platform.
This role can be located in St. Louis, MO; Boston, MA remote is also fine
Primary Responsibilities
Analyze large, complex financial and client datasets to uncover trends, behavioral patterns, and investment signals.
Design, validate, and operationalize predictive models to support asset allocation, risk assessment, and client segmentation strategies.
Collaborate with business and financial stakeholders to translate strategic objectives into analytical approaches and data-driven solutions.
Build and maintain scalable data pipelines and workflows, ensuring reliable data ingestion, transformation, and quality within Snowflake environments.
Develop intuitive dashboards, visualizations, and reporting artifacts (Power BI, Tableau, or similar) to communicate insights and influence decision-making.
Work closely with engineering teams to integrate analytical outputs and models directly into core wealth management systems and workflows.
Maintain thorough documentation and uphold data governance, controls, and compliance standards aligned with financial regulations and industry best practices.
Qualifications
Master’s degree in Data Science, Computer Science, Statistics, Finance, or a related quantitative field.
3+ years of hands-on experience in Data Science, ideally within financial services, wealth management, investment analytics, or related sectors.
Strong programming experience in Python or R for statistical modeling, machine learning, and data manipulation.
Proficiency in SQL and demonstrated experience with Snowflake for data warehousing and analytical workloads.
Solid understanding of financial instruments, portfolio construction, performance metrics, and risk modeling concepts.
Experience with data visualization and business intelligence platforms (e.g., Tableau, Power BI, Looker).
Familiarity with cloud environments (AWS, Azure, or Google Cloud Platform) and modern data stack components.
Exceptional communication and stakeholder engagement skills, with the ability to convey complex concepts to non-technical audiences.
Experience with OpenAI function calling, MCP servers, or custom agent integration
Experience with Retrieval-Augmented Generation (RAG) and vector database expertise
Experience working with modern LLMs (OpenAI, Anthropic, Google)

Source: Feuji Inc careers