Referso Jobs

Quantitative Trader - Futures

DRW · Posted Mar 18, 2026

Open

Chicago, Illinois, United States
Senior
$150K–$250K per year
7+ years

Quantitative Trader - Futures

DRW · Posted Mar 18, 2026

Open

Chicago, Illinois, United States
Senior
$150K–$250K per year
7+ years

Quantitative AI Strategist

DRW · Posted Mar 11, 2026

Open

New York, New York, United States
Mid
$175K–$250K per year
3–7 years

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Lead the development of AI-powered research and analytics platform for front‑office trading desks, integrating quantitative workflows and AI capabilities.

Compensation

The annual base salary range for this position is $175k to $250k depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.

Responsibilities

Prototype and validate quantitative workflows end‑to‑end
Write high‑quality platform code and quantitative libraries
Enhance platform’s ability to reason about markets
Continuously evaluate platform usage and drive improvements
Engage with stakeholders to discover emerging use cases

Requirements

Bachelor's degree in quantitative finance, financial engineering, applied mathematics, statistics, physics, computer science, or related technical field
Nice to have: AI technologies
Nice to have: AI agents
Nice to have: machine learning

Skills

Python Git collaborative development workflows signal generation backtesting

Medior Risk Modeller

NN Group · Posted Nov 12, 2026

Open

The Hague, South Holland, Netherlands
Full-time · Mid
€5K–€7K per year

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Develop and maintain quantitative risk models for NN Non-life, supporting capital and strategic decisions

Compensation

Salary between €5,339 and €7,119 based on 36 hours, depending on your knowledge and experience

Responsibilities

Analyse historical insurance data and assess data quality
Develop, calibrate and substantiate quantitative model methodologies
Assess model performance through sensitivity analyses, backtesting and other quantitative analyses
Explain and substantiate methodological choices to stakeholders
Understand and review technical implementation of models, including Python code

Requirements

Master’s degree in Econometrics
Master’s degree in Mathematics
Master’s degree in Actuarial Science
Master’s degree in a comparable quantitative discipline
Nice to have: non-life insurance experience

Skills

Python quantitative modelling statistical methods data analysis model calibration

Staff Data Scientist

Earnest · Posted Nov 11, 2026

Open

Remote, United States
Remote
Full-time · Staff
$216K–$262K per year
8+ years

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Lead risk data science initiatives, develop credit risk and fraud models, mentor team, and collaborate across functions.

Compensation

Salary Range: $216k - $262k USD. Employees are also eligible for an annual performance-based bonus and equity.

Responsibilities

Own end-to-end development of risk science systems
Lead design, backtesting, and validation of credit risk models
Serve as internal subject matter expert on credit risk modeling
Independently lead high-visibility cross-functional projects
Translate complex models into narratives for senior leadership

Requirements

Master's or PhD in Economics, Statistics, Computer Science, Operations Research, or a related quantitative field
Nice to have: LLM/NLP tools
Nice to have: non-traditional data sources

Skills

Python R SQL credit risk modeling default prediction survival analysis

Vice President, Counterparty Credit Risk Modeling

SMBC · Posted Nov 10, 2026

Open

Jersey City, New Jersey, United States
Hybrid
Full-time · Manager
$189K–$195K per year
8+ years

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Lead the development, enhancement, and ongoing maintenance of counterparty credit risk models across multiple asset classes.

Compensation

The anticipated salary range for this role is between $189,000.00 and $195,400.00. The role may also be eligible for an annual discretionary incentive award.

Responsibilities

Lead development and maintenance of CCR models
Enhance PFE modeling frameworks
Drive analysis of new derivative products
Collaborate with Risk IT and quantitative infrastructure teams
Design and maintain stress testing scenarios

Requirements

Master’s degree in mathematics, statistics, or a related field

Skills

counterparty credit risk modeling Potential Future Exposure (PFE) modeling Monte Carlo simulation stochastic processes numerical methods stress testing

Senior Software Engineer, Forecasting & Real-Time Optimization

Lyft · Posted Nov 9, 2026

Open

Seattle, Washington, United States
Hybrid
Full-time · Senior
$136K–$170K per year
5+ years

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Lead design and operation of production systems for real‑time forecasting and optimization in Lyft’s marketplace.

Compensation

The expected base pay range for this position in the Seattle area is $136,160 - $170,200, not inclusive of potential equity offering, bonus or benefits.

Responsibilities

Lead projects end to end
Architect ML systems
Partner with science to ship
Own signal contracts
Operate what you build

Requirements

BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience
Nice to have: building production ML models
Nice to have: stream processing
Nice to have: large-scale batch processing
Nice to have: time series forecasting

Skills

software engineering backend data systems distributed systems fault tolerance delivery semantics

Portfolio Manager, Multi Asset

PanAgora Asset Management · Posted Jun 8, 2026

Open

Boston, Massachusetts, United States
$200K–$250K per year
3+ years

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Quantitative Investment Portfolio Manager responsible for research and methodology development for global multi-asset risk parity portfolios.

Compensation

Base salary: $200,000 - $250,000

Responsibilities

Conduct alpha factor research for global equity strategies
Apply statistical analysis and modeling techniques
Perform advanced programming in Python/Pandas, R, and SQL
Extract data from Factset, Bloomberg, Revere, and Thomson Reuters
Author research papers

Requirements

Master’s degree in Finance, Econometrics, Economics, Mathematics, or a directly related field

Skills

Python SQL Pandas R Scipy Numpy Machine learning algorithms Regression analysis

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