Finance Specialist | $300/task

Codefeast; India; Remoto; INR 2.480.000 - 3.582.000; Part-time

Descrizione del lavoro

Codefeast is seeking experienced finance and quantitative professionals to design and review terminal-based tasks for evaluating AI agents on analytical workflows. You will apply financial modelling, risk analysis, and data validation to ensure benchmark tasks are accurate and reproducible.

Prior hands-on experience with Terminal-Bench 3.0 projects is mandatory. This remote contractor role offers flexible scheduling and the opportunity to shape evaluation methodologies in a fast-paced

Competenze

• Bachelor's degree from a university ranked among the country''s top 100 institutions.
• Minimum 7 years of finance, quantitative, or analytical experience.
• Hands-on experience with Terminal-Bench 3.0 projects.
• Strong analytical, numerical reasoning and validation skills.
• Ability to discuss financial or analytical workflows in an interview.

Mansioni

• Design multi-step tasks based on realistic financial and quantitative workflows.
• Prepare financial datasets, analytical inputs, and model configurations.
• Build reproducible environments with pinned dependencies.
• Implement reference solutions and automated tests for calculations and outputs.
• Validate numerical accuracy, assumptions, units, and calculation logic.
• Develop tasks involving financial modelling, quantitative analysis, forecasting, risk assessment, or optimization.
• Debug data-processing errors, numerical issues, and execution failures.
• Document methodologies, assumptions, and validation criteria.

Conoscenze

Analytical thinking

Numerical reasoning

Validation skills

Financial modelling

Quantitative analysis

Forecasting

Risk management

Data analysis

Formazione

Bachelor's degree (top 100 universities)

Economics / Econometrics / Finance / Accounting / Business Administration

Strumenti

Terminal-Bench 3.0

Descrizione del lavoro

Experience: 7+ Years of Professional Finance, Quantitative Analysis, or Risk Management Experience

Job Type: Contractor

Location: Remote

Required Profiles: LinkedIn profile required to apply

Role Overview

We are looking for experienced finance and quantitative professionals to develop and review terminal-based tasks that evaluate AI agents on analytical, financial, and computational workflows. You’ll apply your expertise in financial modelling, risk analysis, quantitative methods, and data validation to ensure benchmark tasks are accurate and reproducible.

Important: Prior hands-on experience working on Terminal-Bench 3.0 projects is mandatory.

Key Responsibilities

• Design multi-step tasks based on realistic financial and quantitative workflows.
• Prepare financial datasets, analytical inputs, and model configurations.
• Build reproducible computational environments with pinned dependencies.
• Implement reference solutions and automated tests for calculations and outputs.
• Validate numerical accuracy, assumptions, units, and calculation logic.
• Develop tasks involving financial modelling, quantitative analysis, forecasting, risk assessment, or optimization.
• Debug data-processing errors, numerical issues, and execution failures.
• Document methodologies, assumptions, and validation criteria.

Key Requirements

• Bachelor's degree from a university ranked among the top 100 institutions in the country.
• Minimum 7 years of relevant finance, quantitative, or analytical experience.
• Prior hands-on experience with Terminal-Bench 3.0 projects.
• Relevant background in Economics, Econometrics, Finance, Quantitative Finance, Accounting, or Business Administration.
• Practical expertise in at least one eligible financial or quantitative specialization.
• Strong analytical, numerical reasoning, and validation skills.
• Comfortable discussing financial or analytical workflows in an interview.
• Availability to work remotely on a flexible schedule.

Preferred Technical Skills

• Quantitative analysis and financial modelling.
• Risk management and market-risk analysis.
• Forecasting, optimization, and financial reporting.
• Data analysis, scripting, and numerical validation.
• Automated evaluation, benchmark development, or reproducible analytical workflows.