Company Overview
Eliassen Group is a premier strategic consulting firm dedicated to helping organizations accelerate transformation and achieve measurable success. With over 30 years of proven expertise, we offer comprehensive services across three core areas: Technology Solutions, Clinical Solutions, and Financial, Risk & Compliance Advisory. Our mission is to drive meaningful outcomes by aligning our capabilities with our clients’ most critical goals.
We are deeply committed to making a positive impact—not only on our clients and consultants, but also on our employees and the communities where we live and work. At Eliassen Group, we believe in empowering individuals and organizations to thrive through collaboration, innovation, and integrity.
As an Equal Opportunity and Affirmative Action Employer, we welcome and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, age, veteran status, or disability.
Important Advisory Notice
Please be cautious of any unsolicited outreach claiming to represent Eliassen Group. We will never ask for personal or financial information unless you are in direct contact with an authorized representative of our team. To ensure you’re working directly with Eliassen Group, we encourage you to verify the authenticity of the communication and the identity of the representative. When in doubt, contact us through our official website or trusted communication channels.
Quantitative Analyst – Boston, MA
The Expertise We’re Seeking
We are looking for a highly analytical and collaborative professional with a graduate degree or equivalent experience in mathematical finance, computational financial engineering, or a related quantitative field. The ideal candidate brings:
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At least 4 years of academic or industry experience in developing and applying asset pricing models across a range of securities, including equities, municipal bonds, convertible securities, options, and other derivatives.
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A strong foundation in portfolio risk analysis and optimization, backed by practical success in developing relevant algorithms.
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A high level of proficiency in SQL and Python, and familiarity with Bloomberg terminal functions.
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Experience working with portfolio managers, financial advisors, and product teams on brokerage platforms.
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Strong business acumen and communication skills, including the ability to create and deliver engaging presentations for both technical and non-technical stakeholders.
The Skills You Bring
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Deep passion for financial markets and investment products, particularly equity-related instruments and analytics.
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Strong understanding of asset pricing models, multi-factor risk models, and financial market structures.
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Applied knowledge in statistical and predictive modeling, time series analysis (e.g., regression, classification, dimensionality reduction), and machine learning techniques.
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Solid experience solving optimization problems using linear, non-linear, and integer programming methods.
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Demonstrated success in building, training, and evaluating ML models on large-scale datasets.
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Detail-oriented mindset, with strong integrity and a collaborative spirit.
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A fast learner who thrives in a team-driven environment and adapts quickly to new tools and financial concepts.
The Value You Deliver
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Lead the development of AI/ML-driven investment solutions, helping to create advanced, differentiated tools for portfolio management and advisory.
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Design and tailor customized investment analytics to help clients meet their financial goals, supporting advisory, trading, and risk management functions.
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Collaborate effectively with teams across technology, investment management, and client services to ensure alignment on objectives and implementation.
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Contribute to the broader innovation strategy through applied research and product development that pushes the boundaries of modern quantitative finance.
Educational Requirements
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A Bachelor’s degree is required; a graduate degree (e.g., Master’s or Ph.D.) in a quantitative discipline is highly preferred.
Key Technical & Financial Skills
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Expertise in advanced SQL, Python, and financial data tools such as Bloomberg.
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Solid understanding of Fixed Income analytics, Bond Mathematics, and derivatives pricing, including Greeks and put-call parity.
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Strong communication skills, with the ability to explain complex mathematical models in an intuitive and actionable way.