HEY,
BOSTON

Job Opportunity: Senior Data ScientistAre you passionate about making a meaningful impact through data? We are working with a renowned financial services organization that’s committed to transforming the industry through innovative data-driven solutions. This organization, founded over 80 years ago, is dedicated to helping individuals, families, and businesses reach their financial goals by putting people first. Their core values—Integrity, Collaboration, Accountability, Agility, Respect, and Excellence—define not only the way they do business but also how they treat their employees. If you're ready to join a team that combines purpose, growth opportunities, and cutting-edge projects, this could be the perfect fit for you.Role Overview: Senior Data ScientistIn this high-impact leadership role, you will collaborate across product, sales, marketing, and executive teams to leverage data insights that drive strategic business solutions. You’ll analyze vast datasets to uncover trends, optimize processes, and create predictive models that inform decision-making across the organization. If you have a background in data science and are ready to elevate the company’s capabilities through advanced analytics, innovation, and practical AI applications, we’d love to hear from you.Key Responsibilities:Collaborate with internal teams to identify and prioritize opportunities for leveraging data in product development, marketing strategies, and business processes.Extract and interpret data to create actionable insights that drive business growth and customer engagement.Evaluate the accuracy of new data sources and data collection methods.Develop and deploy custom algorithms and predictive models to optimize customer experience, boost revenue, and refine ad targeting.Establish and refine an A/B testing framework to evaluate model performance.Coordinate with cross-functional teams to implement models and track their outcomes in real-time.Design tools and processes to monitor data accuracy and model effectiveness.Skills and Qualifications:Experience: 4-7 years in data science, with a strong record of driving business impact.Technical Skills: Proficiency in Python, Power BI, SQL, and data manipulation tools; experience with cloud platforms (Snowflake, AWS SageMaker, Azure AI) and MS Power Apps.Machine Learning: Skilled in a variety of machine learning techniques, including clustering, decision trees, neural networks, and natural language processing (NLP).Statistical Knowledge: Solid understanding of advanced statistical techniques and real-world application.Communication: Strong written and verbal communication skills, essential for translating complex analytics to stakeholders.Education: Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, or a related field is preferred.Compensation:Competitive salary estimated between $150,000 - $170,000 USD, with potential for additional incentive compensation based on skills, experience, and location.This position offers a hybrid work environment, allowing for flexibility and collaboration. All qualified candidates are encouraged to apply, as our client is committed to creating an inclusive and supportive workplace for all team members.Ready to lead impactful data science projects with a forward-thinking team? Apply today to explore this exciting opportunity!

Quantitative Engineer in Finance AnalyticsAre you a skilled quantitative professional looking to elevate your career while shaping the future of financial analytics? We’re hiring a Quantitative Engineer, Finance Analytics – Director for an industry-leading commercial bank that values innovation, collaboration, and meaningful impact.Why This Role?This is more than a job—it's a chance to lead from the front. As the modeling expert within the Finance Analytics team, you’ll design and implement cutting-edge financial models that drive strategic decision-making and regulatory compliance. Starting as an individual contributor, you’ll lay the groundwork for building and managing a high-performing team of analysts and engineers.What You’ll Do:🔹 Model Development & ImplementationDevelop advanced CECL credit loss models for stress-testing, reserving, and underwriting.Personally code, test, and maintain these models to ensure they meet business and regulatory needs.🔹 Data Mastery & Workflow OptimizationCreate scalable data workflows using tools like Apache Airflow.Drive impactful business insights with advanced dashboarding tools like Tableau or Qlik Sense.🔹 Documentation & ComplianceProduce detailed reports and collaborate with risk management, audit, and regulatory teams.🔹 Stakeholder Collaboration & LeadershipBuild strong relationships across Finance, Risk, IT, and other business units.Help plan the vision and structure of a future team of quantitative professionals.What We’re Looking For:Experience:5+ years working with complex data systems (Oracle, SQL).5+ years in software/data engineering, especially within financial services.3–5 years in financial modeling or analytics roles.Technical Skills:Proficiency in Python, SAS, or R.Hands-on experience with cloud platforms like AWS, Azure, or GCP.Expertise in statistical modeling and machine learning techniques.Mindset & Core Competencies:Analytical thinker with a knack for problem-solving.Exceptional organizational and time management skills.Strong communication skills to bridge technical and non-technical teams.Preferred Skills:Background in full-stack development.Knowledge of CI/CD pipelines and best practices.Proven ability to gather and synthesize diverse data sources for actionable insights.Education:Bachelor’s, Master’s, or Ph.D. in Computer Science, Statistics, Data Science, or STEM fields. Alternatively, a strong Finance or Business background paired with technical expertise.🎯 Ready to Drive Change in Financial Services?Join a forward-thinking team that values integrity, innovation, and excellence. This is your opportunity to work on impactful projects, grow your career, and contribute to a dynamic industry.💼 Apply Now and take the next step in your journey!