IT Principal Front-Office Engineer

Mindlance

Boston, MA

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JOB DETAILS

SKILLS

Analysis Skills, Artificial Intelligence (AI), Communication Skills, Data Analysis, Data Sets, Data Visualization, Detail Oriented, Econometrics, Embedded Systems, Financial Analysis, Git, GitHub, Hedge Funds, Multitasking, Organizational Skills, Problem Solving Skills, Programming Tools, Proof of Concept, Python Programming/Scripting Language, Risk, Risk Analysis, SQL (Structured Query Language), Software Architecture, Source Code/Configuration Management (SCM), Statistics, Stock Market, Technical Leadership, Time Series Analysis, Trading/Stockbroking, User Experience Design (UXD), User Interface/Experience (UI/UX), Writing Skills

LOCATION

Boston, MA

POSTED

30+ days ago

Manager Intake Call Notes:
• Location: Boston only (3X a week onsite)
• Duration: Long term
• Contract to Hire: YES
• Interview Details: 2 or 3 Total. One with the HM and second and/or third with 2 Risk Directors --- ALL interviews will be held ONSITE at the Boston office.

• What is the most important skillset: Strong Python, SQL and experience using Agentic Programming tools (Github Copilot, Claude) required. Experience with Risk also required. Looking for a hands-on software architect and builder who has experience designing systems, rapidly iterating over them and delivering them across the finish line.

• Any immediate disqualifiers: Doing any trading on their own outside of work like contracting out with other hedge funds or helping a company trade securities.

• Can you tell me what the person's day to day will be like: Contractor will be working closely with the directors of Risk within Investment Risk. Also work closely with risk analysts and investment teams, but the primary focus will be building robust systems and tools that power risk infrastructure, analytics, and decision-ready reporting.

Job Description:

We are seeking a highly skilled and motivated Principal Front-Office Engineer to join our prestigious investment firm. As a Principal Front-Office Engineer, you will serve as the technical lead embedded within the Risk team, driving design and implementation of small-scale applications and proof of concepts that will improve risk analysis, develop AI-enabled workflows, and enhance reporting systems & processes.

You will work closely with risk analysts and investment teams, but your primary focus will be building robust systems and tools that power risk infrastructure, analytics, and decision-ready reporting. We’re looking for a hands-on software architect and builder who has experience designing systems, rapidly iterating over them and delivering them across the finish line. This role is ideal for a Lead or Senior Engineer who thrives as an individual contributor and wants to drive technical direction without moving into management.

Note: This Boston-based role has a hybrid work arrangement (3 days per week in office).

Qualifications

• 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 5+ 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

• 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.

• Proven ability to design, build, and scale application systems in data-rich environments including custom AI tools.

• Strong SQL skills required with a familiarity of financial data platforms (such as Bloomberg, FactSet, Aladdin, eFront, Moodys), financial databases, and data manipulation techniques 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 and multi-asset investment risk domain.

• Practical experience in developing and maintaining models, tools, and reports that showcase a deep understanding of quantitative techniques, methods, statistics and econometrics

EEO:

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

About the Company

Mindlance

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