Millennium Management Jobs Hiring Now
Millennium Management is hiring for 55 open roles on Migrate Mate as of July 16, 2026, concentrated in business analysis and accounting, with listed salaries up to about $250,000. Migrate Mate updates Millennium Management's live openings daily. Millennium Management is a global investment management firm that operates across quantitative research, technology, and financial operations.
Find Millennium Management JobsOverview
Millennium Management hiring data on Migrate Mate, as of July 16, 2026.
- Open jobs
- 55
- Top team
- Business Analysis
- Seniority
- Across all levels
- Work type
- 2% remote or hybrid
- Top location
- New York
- Salary range
- $70,000–$250,000
Listed salaries for Millennium Management roles on Migrate Mate range from about $70,000 to $250,000 per year across 55 open roles, as of July 16, 2026.
Open Roles at Millennium Management
Showing 25 of 55+ Millennium Management jobs
We're looking for a hard-working, thoughtful Data Scientist who delivers results. You'll transform messy data into useful models and decision-making tools, collaborate closely with engineering and business development teams, and own projects from start to finish—including scoping, deployment, and monitoring.
In Business Development at Millennium, we identify and onboard trading talent and data advantages that drive profitability. We evaluate data vendor solutions and surface novel data points that create early, differentiated signals ahead of competitors. Some work involves delivering reliable, established solutions, while much of it is creative—extracting hidden insights from existing data and discovering new sources.
Strong Python skills are required. Hands-on experience with large language models (LLMs) and their practical applications is a significant plus. We value humility, reliability, clear communication, and collaborative teamwork.
Responsibilities:
- Own outcomes: break projects into milestones, estimate realistically, meet deadlines, and surface risks early with options.
- Build and deploy models: develop ML models (including LLM-enabled solutions when appropriate), design features, evaluate rigorously, and contribute to production-grade pipelines.
- Work the full data lifecycle: wrangle and clean data, implement data quality checks, write maintainable Python/SQL, add tests, and document decisions.
- Collaborate cross-functionally: translate business questions into analysis, present trade-offs clearly, and iterate with stakeholders and tech partners.
- Deploy to production: partner with data engineers to ship to production (APIs, batch jobs, monitoring) and create feedback loops for continuous improvement.
- Drive system improvements: propose pragmatic improvements to data, tooling, and process that reduce manual work and increase reliability.
Qualifications/Skills Required
- Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
- 3+ years of hands-on experience in data science, analytics, or ML, with at least one end-to-end project shipped to production used by real stakeholders.
- Strong Python proficiency (Pandas, NumPy, Matplotlib, and Scikit-learn).
- Sound understanding of ML fundamentals: problem framing, validation, metrics, overfitting, feature engineering.
- Experience with SQL and NoSQL database structures along with relational, columnar and document databases.
- Experience with LLMs and modern NLP: prompt engineering, retrieval-augmented generation (RAG), vector databases, knowledge graphs—plus a pragmatic sense of when not to use them.
- Strong data visualization and storytelling abilities using tools such as Plotly, Dash, Streamlit, or similar frameworks.
- Familiarity with cloud services (AWS/Azure) for data storage, compute, and deployment.
How we work (what success looks like)
- Strong ownership: Plan thoroughly, communicate proactively, and meet deadlines—we value reliability over last-minute heroics
- Humble and collaborative: Seek and provide constructive feedback, write clear documentation, and pair program when it helps the team
- Bias toward action: Start simple, deliver iteratively, and improve based on evidence
The estimated base salary range for this position is $165,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.
We're looking for a hard-working, thoughtful Data Scientist who delivers results. You'll transform messy data into useful models and decision-making tools, collaborate closely with engineering and business development teams, and own projects from start to finish—including scoping, deployment, and monitoring.
In Business Development at Millennium, we identify and onboard trading talent and data advantages that drive profitability. We evaluate data vendor solutions and surface novel data points that create early, differentiated signals ahead of competitors. Some work involves delivering reliable, established solutions, while much of it is creative—extracting hidden insights from existing data and discovering new sources.
Strong Python skills are required. Hands-on experience with large language models (LLMs) and their practical applications is a significant plus. We value humility, reliability, clear communication, and collaborative teamwork.
Responsibilities:
- Own outcomes: break projects into milestones, estimate realistically, meet deadlines, and surface risks early with options.
- Build and deploy models: develop ML models (including LLM-enabled solutions when appropriate), design features, evaluate rigorously, and contribute to production-grade pipelines.
- Work the full data lifecycle: wrangle and clean data, implement data quality checks, write maintainable Python/SQL, add tests, and document decisions.
- Collaborate cross-functionally: translate business questions into analysis, present trade-offs clearly, and iterate with stakeholders and tech partners.
- Deploy to production: partner with data engineers to ship to production (APIs, batch jobs, monitoring) and create feedback loops for continuous improvement.
- Drive system improvements: propose pragmatic improvements to data, tooling, and process that reduce manual work and increase reliability.
Qualifications/Skills Required
- Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
- 3+ years of hands-on experience in data science, analytics, or ML, with at least one end-to-end project shipped to production used by real stakeholders.
- Strong Python proficiency (Pandas, NumPy, Matplotlib, and Scikit-learn).
- Sound understanding of ML fundamentals: problem framing, validation, metrics, overfitting, feature engineering.
- Experience with SQL and NoSQL database structures along with relational, columnar and document databases.
- Experience with LLMs and modern NLP: prompt engineering, retrieval-augmented generation (RAG), vector databases, knowledge graphs—plus a pragmatic sense of when not to use them.
- Strong data visualization and storytelling abilities using tools such as Plotly, Dash, Streamlit, or similar frameworks.
- Familiarity with cloud services (AWS/Azure) for data storage, compute, and deployment.
How we work (what success looks like)
- Strong ownership: Plan thoroughly, communicate proactively, and meet deadlines—we value reliability over last-minute heroics
- Humble and collaborative: Seek and provide constructive feedback, write clear documentation, and pair program when it helps the team
- Bias toward action: Start simple, deliver iteratively, and improve based on evidence
The estimated base salary range for this position is $165,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.
Job Roles at Millennium Management
Working at Millennium Management
Millennium Management's 55 open roles are across all levels, and about 2% are remote or hybrid. The most active teams are business analysis, accounting, and backend engineering. Millennium Management is a global investment management firm that hires across quantitative research, software engineering, compliance, and financial operations. The firm is known for its multi-strategy approach and employs specialists in areas ranging from machine learning and low-latency systems to asset-based finance and regulatory reporting. Most Millennium Management roles are based in New York, with some in Miami and Dallas.
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Browse jobs by roleMillennium Management Jobs: Frequently Asked Questions
How many jobs is Millennium Management hiring for right now?
Millennium Management is hiring for 55 open roles on Migrate Mate as of July 16, 2026, updated daily, concentrated in business analysis and accounting. Roles span quantitative research, software engineering, compliance, and financial reporting, reflecting the breadth of functions across a large global investment management operation.
What kinds of roles does Millennium Management hire for?
The most active teams are business analysis, accounting, and backend engineering. Millennium Management's open positions include quantitative researchers, software engineers specializing in C++ and low-latency systems, machine learning scientists, DevOps and platform engineers, compliance analysts, and financial reporting professionals. Most postings are across all levels, reflecting demand for experienced specialists across investment management and technology.
Are Millennium Management jobs remote or in-person?
Mostly on-site. About 2% of Millennium Management's open roles on Migrate Mate are remote or hybrid as of July 16, 2026, with the rest based in New York. Each Millennium Management listing shows its work location so you can filter before applying.
How do I apply to a job at Millennium Management?
Find a role that matches your background on Migrate Mate's Millennium Management listing page, then follow the link through to Millennium Management's own application portal. Millennium Management manages its own hiring process directly, so your application goes straight to their team. Migrate Mate keeps the listings current so you can apply to the most up-to-date openings.
What do Millennium Management jobs pay?
Listed salaries for Millennium Management roles on Migrate Mate range from about $70,000 to $250,000 per year as of July 16, 2026, with most postings at across all levels. Exact pay is set by Millennium Management and shown on each listing.
Does Millennium Management hire entry-level?
Most of Millennium Management's open roles on Migrate Mate are across all levels as of July 16, 2026. Check individual Millennium Management listings for stated experience requirements.
Where is Millennium Management hiring?
Most Millennium Management roles are based in New York, with some in Miami and Dallas, and about 2% offer remote or hybrid work as of July 16, 2026. Migrate Mate shows the location on each listing.