Accrete AI Logo

Accrete AI

Senior Applied Scientist – Quantitative Research (PhD Required)

Reposted 20 Days Ago
Be an Early Applicant
Boston, MA
170K-210K
Senior level
Boston, MA
170K-210K
Senior level
The Senior Applied Scientist will lead research in AI, developing machine learning models for financial predictions and algorithmic trading while collaborating with teams.
The summary above was generated by AI

Office Location: Boston, MA - Hybrid 

Accrete is a dynamic and innovative company focused on transforming the future of artificial intelligence. We specialize in creating advanced AI solutions that turn complex data into actionable insights, driving real-world impact for businesses and government organizations. Our team thrives on creativity and collaboration, working together to push the boundaries of AI technology.

At the core of our offerings are our AI agents, designed to autonomously analyze data, generate insights, and make intelligent recommendations. These agents help businesses streamline operations, improve decision-making, and also empower government entities to enhance security, intelligence, and operational efficiency

Job Description:

We are seeking a highly-motivated and innovative Senior Applied Scientist to join our research team in Boston, MA to drive cutting-edge research and development.  This role combines expertise in advanced machine learning techniques with quantitative research and algorithmic trading experience.  You will develop AI-powered trading systems that leverage deep learning, Large Language Models (LLMs), and time series analysis to identify market opportunities and optimize trading strategies.  Working at the intersection of finance and artificial intelligence, you will collaborate with quant analysts, engineers, and product teams to translate cutting-edge research into profitable trading applications.

Responsibilities:
  • Design and implement machine learning models optimized for financial market prediction, risk assessment, and algorithmic trading
  • Apply natural language processing and LLM techniques to extract trading signals from financial news, reports, and alternative data sources
  • Create and optimize high-frequency trading algorithms that leverage AI for execution and market-making
  • Implement different machine learning approaches for dynamic portfolio optimization and trading strategy refinement
  • Build robust backtesting frameworks to validate model performance across various market conditions
  • Develop real-time signal processing pipelines that can handle market data at scale and with low latency
  • Research and evaluate novel methodologies at the intersection of AI and quantitative finance
  • Maintain awareness of both financial market dynamics and cutting-edge AI research to identify innovative applications
  • Provide technical leadership and mentorship to junior quantitative researchers and data scientists
  • Frequent travel to the Accrete headquarters in NYC 
Requirements:
  • Ph.D. in Computer Science, Mathematics, Statistics, or a related discipline; or Master’s degree with 5+ years of experience in quantitative finance or algorithmic trading.
  • Strong background in both machine learning research and quantitative financial analysis.
  • Demonstrated experience developing and deploying ML models for trading, market prediction, or financial risk management.
  • Deep expertise in time series modeling, statistical arbitrage, and quantitative strategy development.
  • Proficiency in deep learning frameworks (PyTorch, TensorFlow) and financial data analysis libraries.
  • Experience with high-frequency trading systems, market microstructure, and execution algorithms.
  • Strong knowledge of financial markets, instruments, and trading mechanisms.
  • Proven track record implementing reinforcement learning for sequential decision-making problems.
  • Experience working with large financial datasets, market data feeds, and alternative data sources.
  • Advanced Python programming skills with an emphasis on performance optimization for real-time systems.
  • Familiarity with cloud and on-premise high-performance computing environments.
  • Excellent communication and collaboration skills, with the ability to work in cross-functional teams and explain complex quantitative concepts to various stakeholders.

Salary Range: 170k-210k

The salary range provided reflects the estimated compensation for this role based on the expected qualifications and experience level. The final offer may vary depending on factors such as skills, experience, and alignment with role requirements.

Cultural Fit & Values

At Accrete, success goes beyond technical expertise—we value innovation, collaboration, and accountability. Our team members embody:

  • Ownership & Accountability – Drive projects to completion with high standards and proactive problem-solving.
  • Transparency & Communication – Share information openly, give and receive constructive feedback.
  • Strategic Thinking & Problem-Solving – Analyze challenges critically and implement effective solutions.
  • Collaboration & Professionalism – Work as a team, contribute meaningfully, and uphold mutual respect.
  • Passion for AI & Innovation – Stay curious, continuously learn, and push AI’s potential.
  • Going Beyond the Job Description – Seek opportunities to contribute beyond core responsibilities.

These principles shape our culture, performance evaluations, and growth opportunities, ensuring we build a mission-driven organization together.

Company Benefits
  • Competitive Salary: Aligned with experience and market standards.
  • Comprehensive Insurance: Health, dental, and vision coverage to keep you and your family secure.
  • 401(k) Plan: Build your financial future with our retirement savings plan.
  • Flexible PTO & Hybrid Work: Take time off when you need it and enjoy remote flexibility per company guidelines.
  • Growth & Development: Access professional development, learning opportunities, and career advancement support.
  • Onsite Perks: Enjoy catered lunches, snacks, and a stocked kitchen.
  • Team Bonding: Company-sponsored happy hours and social events to connect and unwind.

Top Skills

Deep Learning
Financial Data Analysis
Machine Learning
Natural Language Processing
Python
PyTorch
TensorFlow
Time Series Analysis

Accrete AI Wellesley, Massachusetts, USA Office

Wellesley, MA, United States, 02482

Similar Jobs

19 Hours Ago
Hybrid
2 Locations
187K-240K Annually
Senior level
187K-240K Annually
Senior level
Artificial Intelligence • Cloud • Software • Cybersecurity
As a Senior Data Scientist, you'll build and deploy large language models, enhance product features using AI, and collaborate with specialists on advanced ML projects.
Top Skills: CudaGenerative AiLarge Language ModelsMachine LearningNlpPythonPyTorchTensorFlow
19 Hours Ago
Hybrid
5 Locations
215K-267K Annually
Mid level
215K-267K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
In this role, you'll collaborate with a cross-functional team to develop AI-powered products, engage in applied research, and build AI foundation models.
Top Skills: Ai MethodologiesAws UltraclustersCloud ComputingHuggingfaceLightningPyTorchVectordbs
19 Hours Ago
Hybrid
4 Locations
257K-320K Annually
Mid level
257K-320K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
The Applied Researcher II will collaborate with teams to develop AI-powered products, engage in applied research, and leverage a variety of technologies to enhance customer interactions through AI.
Top Skills: Aws UltraclustersHuggingfaceLightningPyTorchVectordbs

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account