Akkodis

Python Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Principal Front-Office Engineer (Risk/Python) in Boston, MA, for a 12-month contract at $70-$75/hour. Requires strong Python, SQL, experience in risk analysis, and proficiency with Agentic Programming tools. Hybrid work model (3x onsite).
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
600
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πŸ—“οΈ - Date
March 27, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Yes
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πŸ“ - Location detailed
Boston, MA
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🧠 - Skills detailed
#NumPy #GitHub #Data Analysis #Visualization #Datasets #Libraries #Plotly #Databases #Pandas #Data Manipulation #Programming #Security #Statistics #GIT #Risk Analysis #AI (Artificial Intelligence) #Version Control #SciPy #FactSet #Plotly Dash #Python #SQL (Structured Query Language)
Role description
Akkodis is seeking a Principal Front-Office Engineer (Risk / Python) for a CTH role with a client in Boston, MA. Duration: 12 Months + Possible Extension/Conversion Location - Boston, MA (Hybrid) (3X a week onsite) Pay Range: $70 – $75 per hour on W2 (The rate may be negotiable based on experience, education, geographic location, and other factors.) 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 is 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. 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. Were 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. Qualifications β€’ Excellent problem-solving skills, with the ability to think critically, independently, and act with minimal handholding. β€’ Effective communication skills, with the ability to clearly articulate complex ideas and analysis to both technical and non-technical stakeholders. β€’ Strong attention to detail, organization, and the ability to manage multiple tasks and priorities in a fast-paced environment. β€’ Full-stack development knowledge with a minimum of 5+ years of professional experience programming in Python, demonstrating the ability to write efficient and robust code able to process and analyze large financial datasets. β€’ Experience with key Python Libraries (pandas, NumPy) required β€’ 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. β€’ Experience using Version Control (Git) required. β€’ Experience using Agentic Programming tools (GitHub Copilot, Claude) required. β€’ Proven ability to design, build, and scale application systems in data-rich environments, including custom AI tools. β€’ Strong SQL skills required with a familiarity with financial data platforms (such as Bloomberg, FactSet, Aladdin, eFront, Moody's), financial databases, and data manipulation techniques preferred. Experience with statistical and time-series data analysis using Pythonic libraries (such as Scikit-Learn, SciPy, and cvxpy) is preferred. β€’ Solid understanding of financial markets and multi-asset investment risk domain. β€’ Practical experience in developing and maintaining models, tools, and reports that showcase a deep understanding of quantitative techniques, methods, statistics, and econometrics Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave, including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy. The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: Β· The California Fair Chance Act Β· Los Angeles City Fair Chance Ordinance Β· Los Angeles County Fair Chance Ordinance for Employers Β· San Francisco Fair Chance Ordinance