Job Locations US-MA-Boston

ID

2026-76297

Position Type

Full-Time

Job Grade

18

Department

043D-03433 LMI Technology

Market

Corporate Center

Referral Bonus Amount

$3,000

Minimum Salary

USD $128,000.00/Yr.

Maximum Salary

USD $225,000.00/Yr.

Typical Starting Salary

$180,000-$200,000

Recruiter

Monica Vesprani

Referral Bonus Eligible?

Yes

• Excellent problem-solving skills, with the ability to think critically, independently, and act with minimal handholding.
• Effective communication skills, with the ability to clearly articulate complex ideas and analysis to both technical and non-technical stakeholders.
• Strong attention to detail, organization, and the ability to manage multiple tasks and priorities in a fast-paced environment.
• Full-stack development knowledge with a minimum of 8 years professional experience programming in Python demonstrating the ability to write efficient and robust code able to process and analyze large financial datasets.
• Experience with key Python Libraries (pandas, NumPy) required
• Hands-on experience developing within Bloomberg’s BQuant environment is strongly preferred.
• Experience writing and maintaining BQL queries, leveraging PyBQL and working with the Bloomberg data ecosystem is strongly preferred
• Experience in front-end development and user experience (UX) design required; experience with Pythonic front-end and data visualization libraries (e.g., Plotly, Dash) preferred.
• Experience using Version Control (Git) required.
• Experience using Agentic Programming tools (Github Copilot, Claude) required.
• Demonstrated ability to partner with business teams to convert AI-generated artifacts (e.g., prototypes, proofs of concept) into production-ready applications.
• Experience bridging the gap between rapid AI-developed prototypes to quality full-stack applications is highly valued.
• Proven ability to design, build, and scale application systems in data-rich environments including custom AI tools.
• Experience developing applications for investment management firms or, more broadly, financial services is a strong plus.
• Strong SQL skills required. Familiarity with financial data platforms (such as Bloomberg, FactSet, Aladdin, eFront, Moodys), financial databases, and data manipulation techniques strongly preferred.
• Experience with statistical and time-series data analysis using pythonic libraries (such as Scikit-Learn, SciPy, cvxpy) is preferred.
• Solid understanding of financial markets, with foundational knowledge across fixed income, private equity, and private credit investment domains.
• Practical experience in developing and maintaining models, tools, and reports that showcase a deep understanding of quantitative techniques, methods, statistics and econometrics

Education

• A Bachelor’s or Master’s degree in a technical or business discipline, or equivalent experience

Employees may apply for a new role after completing 12 months of employment in their current position.

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