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Transparent Pricing

Rate card for 2026

Our team delivers exceptional value through a blend of domain expertise, AI mastery, and engineering excellence. We offer flexible engagement models with transparent pricing aligned to experience levels and delivery locations.

2026 Rates

Discounted daily rates by location and level

All rates shown are discounted daily rates for 2026, structured by delivery location and experience level. Our pricing reflects the caliber of expertise required for production-grade AI solutions in financial services.

Location Level Discounted Daily Rate (2026)
Offshore
Offshore Junior $350
Offshore Mid $475
Offshore Senior $750
Onshore (On-site NYC)
Onshore (On-site NYC) Junior $1,050
Onshore (On-site NYC) Mid $1,425
Onshore (On-site NYC) Senior $1,800
Onshore / Nearshore (Remote)
Onshore / Nearshore (Remote) Junior $900
Onshore / Nearshore (Remote) Mid $1,125
Onshore / Nearshore (Remote) Senior $1,350
About Our Rates
These rates represent discounted pricing for 2026 engagements and are subject to minimum commitment terms. Actual rates may vary based on project complexity, duration, and specific skill requirements. Contact us for custom engagement models and volume discounts for large-scale implementations.
Experience Levels

Role definitions and expectations

Our team structure ensures the right expertise for every engagement phase, from foundational development to strategic leadership. Each level brings specific capabilities aligned to project needs and client expectations.

Junior
0–3 years relevant experience
Early-career professionals with strong foundations in data science, analytics, or engineering who deliver well-defined tasks under close guidance from mid and senior team members.
Core Competencies
  • Strong foundations in statistics and quantitative methods
  • Proficiency in Python/R and SQL for data manipulation
  • Data wrangling and exploratory analysis skills
  • Ability to execute well-scoped technical tasks
Responsibilities
  • Delivers well-defined tasks with clear specifications
  • Works under close guidance from senior team members
  • Supports data preparation and model implementation
  • Assists with documentation and testing activities
Education Requirements
Offshore / Remote:
Bachelor's degree in Data Science, Computer Science, Mathematics or a related field.
Onshore (NYC):
MSc in Data Science, Machine Learning, Statistics or related field (or equivalent experience).
Mid
3–7 years relevant experience
Experienced practitioners who can own individual workstreams end-to-end, including requirements clarification, build, testing, and documentation, while mentoring junior team members.
Core Competencies
  • End-to-end delivery of analytics and ML projects
  • Strong communication with client stakeholders
  • Cross-functional collaboration with technology and operations teams
  • Code review and quality assurance practices
Responsibilities
  • Owns individual workstreams from requirements to delivery
  • Clarifies requirements and designs technical solutions
  • Communicates findings to client stakeholders
  • Mentors junior team members and supports quality checks
Education Requirements
Offshore / Remote:
Bachelor's degree plus 3–7 years relevant experience, often progressing towards or holding an MSc.
Onshore (NYC):
MSc in a quantitative field with several years of hands-on project experience.
Senior
7+ years relevant experience
Seasoned leaders with extensive experience in data science, quantitative analytics, or AI engineering who lead pods or major workstreams and serve as primary points of contact for senior stakeholders.
Core Competencies
  • Deep expertise in financial services and AI/ML engineering
  • Model and data architecture design capabilities
  • Methods review and documentation sign-off authority
  • Strategic client relationship management
Responsibilities
  • Leads pods or major workstreams with full accountability
  • Sets approach, standards, and delivery quality benchmarks
  • Designs model and data architectures
  • Acts as primary contact for senior client stakeholders
  • Shapes future phases of work and strategic direction
Education Requirements
Offshore / Remote:
MSc or equivalent experience, often with prior leadership responsibility in quantitative domains.
Onshore (NYC):
PhD or MSc in a quantitative field plus extensive applied experience in financial services or related industries.
Flexible Delivery

Engagement models tailored to your needs

We offer flexible delivery models designed to optimize cost-effectiveness while ensuring the quality and responsiveness required for mission-critical financial services projects.

🌐

Offshore Delivery

Cost-effective teams working in dedicated offshore development centers with established delivery processes and 24/7 coverage capabilities.

  • Optimized cost structure for scaled delivery
  • Round-the-clock development capabilities
  • Access to deep technical talent pools
  • Established quality assurance processes
🏢

Onshore (NYC On-site)

Premium teams located on-site at your facilities, providing direct collaboration, immediate responsiveness, and seamless integration with internal teams.

  • Face-to-face collaboration and rapid iteration
  • Direct access to senior stakeholders
  • Real-time problem solving and decision-making
  • Deep organizational integration
💻

Remote / Nearshore

Balanced model combining cost efficiency with timezone alignment and cultural proximity, ideal for hybrid delivery approaches.

  • Timezone-aligned for real-time collaboration
  • Cultural and language compatibility
  • Competitive pricing with quality assurance
  • Flexible scaling and resource augmentation
Flexible Arrangements

Right to hire our team members

We understand that exceptional talent sometimes becomes integral to your organization. We offer flexible right-to-hire arrangements that allow you to transition our consultants to permanent roles within your team.

📋

Right-to-Hire Terms

After an initial consulting engagement period, you have the option to hire our consultants as permanent employees. Our flexible terms recognize the value of longer-term partnerships.

  • Right-to-hire not available in first 12 months
  • Available with fee after 13-23 months of engagement
  • No conversion fee after 24+ months
  • Smooth transition process with knowledge transfer
💼

Conversion Fee Structure

Our right-to-hire fees are based on the consultant's level and the length of the engagement prior to conversion. Fees decrease with longer engagements.

Engagement Length
Conversion Fee
0-12 months
N/A
13-23 months
Available
24+ months
No fee
Why Right-to-Hire Makes Sense
Our right-to-hire model allows you to thoroughly evaluate talent in real-world scenarios before making a permanent commitment. During the first year, consultants build deep knowledge of your systems and processes. After 13 months, conversion becomes available with a negotiated fee. Consultants who have worked with your team for 24+ months can transition with no conversion fee—they've already proven their value and cultural fit. This approach minimizes hiring risk while maximizing the value of your consulting investment.

Build Your Engagement Model

Let's discuss your project requirements and design a team structure that delivers exceptional results within your budget and timeline.

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