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Quantitative Analytics - Job Opportunity at RiverTowns Group

New York, US
Full-time
Senior
Posted: April 23, 2025
On-site
USD 140,000 - 180,000 per year

Benefits

Flexible work environment

Key Responsibilities

Design and implement prepayment and credit models for MBS products
Calibrate and maintain financial models for structured products
Extract and analyze prepayment information from market pricing
Engage with market participants for insights
Document model methodologies and implementations

Requirements

Education

MS or PhD in Mathematics, Physics, Engineering or other quantitative areas

Experience

Previous programming experience

Required Skills

C/C++ programming R programming Behavioral finance knowledge MBS market understanding Quantitative modeling Financial analysis
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Sauge AI Market Intelligence

Industry Trends

The MBS market is experiencing significant transformation due to rising interest rates and changing prepayment patterns, creating increased demand for sophisticated quantitative analysis. FinTech disruption in fixed income markets is accelerating, with particular focus on automation and machine learning applications in structured products. Integration of behavioral finance with traditional quantitative models is becoming a key differentiator in the industry.

Salary Evaluation

The offered salary range of $140,000-180,000 is competitive for senior quant roles in New York, though slightly below top-tier buy-side firms. However, the role's entrepreneurial nature suggests potential for additional compensation through company growth.

Role Significance

Likely part of a specialized quant team of 5-10 professionals, given the startup environment and technical focus.
Senior individual contributor role with significant model ownership and stakeholder interaction responsibilities.

Key Projects

Development of next-generation MBS pricing models Implementation of behavioral finance frameworks in existing models Creation of portfolio analytics tools for institutional clients

Success Factors

Deep understanding of structured products and market mechanics Ability to bridge theoretical models with practical trading insights Strong communication skills for stakeholder management Entrepreneurial mindset and ability to work in a fast-paced environment

Market Demand

Very high demand, particularly due to the convergence of traditional fixed income expertise with modern technology requirements.

Important Skills

Critical Skills

Advanced quantitative modeling skills are essential for developing sophisticated pricing models Programming proficiency in C++ and R for implementing and optimizing models Deep understanding of MBS markets and prepayment dynamics

Beneficial Skills

Python for data analysis and prototyping Cloud computing platforms for scalable solutions Machine learning applications in financial modeling

Unique Aspects

Focus on behavioral finance applications in MBS markets
Combination of traditional fixed income expertise with modern technology stack
Direct exposure to institutional client needs and market evolution

Career Growth

2-4 years potential progression to team lead or head of department, depending on company growth trajectory

Potential Next Roles

Head of Quantitative Research Director of Fixed Income Analytics Chief Investment Officer Quantitative Trading Lead

Company Overview

RiverTowns Group

Emerging FinTech player focusing on modernizing bond analytics with particular expertise in the MBS market.

Early-stage growth company targeting institutional clients with innovative technology solutions.
New York-based with potential for expansion given the $10 trillion market opportunity.
Entrepreneurial environment combining financial expertise with modern technology approach.
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