25 jobs in Quant Blueprint LLC

Quant Blueprint LLC is seeking a Trading Analyst in London with strong Python coding skills and an interest in high-frequency trading and market making in crypto. You will collaborate closely with traders to enhance trading activities across various markets.

This role places you at the heart of trading operations, where you will assist in supporting trading, liaise with developers, and help the middle office in optimizing trade settlement and reconciliation processes.

Job Description

At Citadel, our mission is to be the most successful investment team in the world. Quantitative Researchers play a key role in this mission by developing next-generation models and trading approaches for a range of investment strategies. You'll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world.

As an intern, you'll get to challenge the impossible in research through an 11 week program that will allow you to collaborate and connect with senior team members. In addition, you'll get the opportunity to network and socialize with peers throughout the internship.

• Conceptualize valuation strategies, develop and continuously improve upon mathematical models, and help translate algorithms into code
• Back test and implement trading models and signals in a live trading environment
• Use unconventional data sources to drive innovation
• Conduct research and statistical analysis to build and refine monetization systems for trading signals

• Bachelor's or master's degree in mathematics, statistics, physics, computer science, or another highly quantitative field
• Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP)
• Prior experience working in a data driven research environment
• Experience with translating mathematical models and algorithms into code (Python, R or C++)
• Independent research experience
• Ability to manage multiple tasks and thrive in a fast-paced team environment
• Excellent analytical skills, with strong attention to detail
• Strong written and verbal communication skills

Opportunities available in London, Paris.

Citadel is one of the world's leading alternative investment managers. We manage capital on behalf of many of the world's preeminent private, public and nonprofit institutions. We seek the highest and best use of investor capital in order to deliver market leading results and contribute to broader economic growth. For over 30 years, Citadel has cultivated a culture of learning and collaboration among some of the most talented and accomplished investment professionals, researchers and engineers in the world. Our colleagues are empowered to test their ideas and develop commercial solutions that accelerate their growth and drive real impact.

Commodities Quantitative Researcher, Systematic Global Macro

A small, collaborative, and entrepreneurial systematic investment team is seeking a strong commodities quantitative researcher to join in developing new signals and strategies. This opportunity provides a dynamic and fast‑paced environment with excellent opportunities for career growth.

Location: Flexible, with slight preference for Switzerland

• Identify and onboard new global markets and datasets
• Analyze and manipulate large and diverse data sets for idea generation and alpha research with a focus on the commodities space
• Research and develop signals, leveraging a variety of market and fundamental datasets, to be deployed in systematic trading strategies
• Collaborate with the Senior Portfolio Manager and team in a transparent environment, engaging with the whole investment process from idea generation through execution with a focus on the Global Commodities space

• Strongly skilled in Python
• Experience programming in C is a plus
• Bachelor, Master, or PhD degree in Computer Science, Engineering, Applied Mathematics, Statistics or related STEM field
• Excellent communication, analytical, and problem‑solving skills

• 2-4 years of experience working in a quantitative research capacity with a focus on Ags, Energy, Metals, Fixed Income, FX, or Equity Index strategies
• Experience working with large and diverse data sets, specifically data sets associated with the commodity markets
• Commodities market experience modeling futures curves and/or cross-market relationships

• Experience in quantitative, econometrics, asset pricing, or macro sub‑fields
• Experience with machine learning, statistical techniques and related libraries

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $100,000 to $200,000, which is specific to New York and may change in the future. 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.

Quant Blueprint LLC is seeking a Quantitative Researcher for their London office. The role involves developing systematic trading strategies and manipulating financial datasets using advanced statistical techniques. The ideal candidate should possess a strong foundation in Python programming and machine learning as well as experience in a systematic trading environment.

Successful candidates will hold a relevant Bachelor's or Master's degree and have a rigorous approach to problem-solving. This position offers an opportunity to work in a fast-paced environment and contribute significantly to the firm’s trading strategies.

Quant Blueprint LLC is seeking a Quantitative Researcher focused on developing systematic trading strategies. This remote position emphasizes collaboration with the Senior Portfolio Manager to optimize trading strategies through robust data analysis and machine learning experience.

The ideal candidate will have over 3 years of experience in systematic trading and a solid education in a relevant STEM field. Strong knowledge of Python and modern data science tools is essential.

Quantitative Researcher, Systematic Equities

Location: London or Dubai preferred.

• Work alongside the Senior Portfolio Manager on developing systematic trading strategies, with a primary focus on:
  • Idea generation
  • Data gathering and analysis
  • Model implementation and back testing for systematic global equities strategies
• Explore, analyze, and harness large financial datasets using various statistical learning techniques.
• Work with multiple vendor data sets: assessing, cleaning, creating features.
• Implement flexible, scalable and efficient machine learning framework using existing features.
• Optimize code for larger scale work.
• Create new features using additional database (KDB preferred).

• Proficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn) with machine learning experience.
• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM field from top ranked University.
• Expert in Python (KDB/Q is a plus).
• Demonstrated knowledge of quantitative finance, mathematical modelling, statistical analysis, regression, and probability theory.
• Excellent communication, problem‑solving, and analytical skills, with the ability to quickly understand and apply complex concepts.

• 3+ years of experience working in a systematic trading environment with a focus on equities.
• 3+ years of experience working with multiple vendor data sets and, in particular, manipulating data (assessing, cleaning, creating features, etc.).
• Demonstrated theoretical understanding of Machine Learning with 2-3+ years of hands‑on experience in the applications.
• Experience collaborating effectively with cross functional teams, multitasking and adapting in a fast‑paced environment.

• Strong intuition about feature/data prediction power.
• Extremely rigorous, critical thinker, self‑motivated, detail‑oriented, and able to work independently in a fast‑paced environment.
• Entrepreneurial mindset.
• Curiosity and eagerness to learn and grow professionally.

Quant Blueprint LLC is offering a Quantitative Research Intern position in London. The internship lasts for 11 weeks where you will work alongside senior team members, developing and improving trading models and strategies using advanced statistical techniques.

Applicants should have a degree in a quantitative field and familiarity with languages like Python or R. The role provides a unique opportunity to challenge and innovate in a high-paced environment, contributing to important research.

Quantitative Researcher, Systematic Equities

Location: London or Dubai preferred.

• Work alongside the Senior Portfolio Manager on developing systematic trading strategies, with a primary focus on:
  • Idea generation
  • Data gathering and analysis
  • Model implementation and back testing for systematic global equities strategies
• Explore, analyze, and harness large financial datasets using various statistical learning techniques.
• Work with multiple vendor data sets: assessing, cleaning, creating features.
• Implement flexible, scalable and efficient machine learning framework using existing features.
• Optimize code for larger scale work.
• Create new features using additional database (KDB preferred).

• Proficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn) with machine learning experience.
• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM field from top ranked University.
• Expert in Python (KDB/Q is a plus).
• Demonstrated knowledge of quantitative finance, mathematical modelling, statistical analysis, regression, and probability theory.
• Excellent communication, problem‑solving, and analytical skills, with the ability to quickly understand and apply complex concepts.

• 3+ years of experience working in a systematic trading environment with a focus on equities.
• 3+ years of experience working with multiple vendor data sets and, in particular, manipulating data (assessing, cleaning, creating features, etc.).
• Demonstrated theoretical understanding of Machine Learning with 2-3+ years of hands‑on experience in the applications.
• Experience collaborating effectively with cross functional teams, multitasking and adapting in a fast‑paced environment.

• Strong intuition about feature/data prediction power.
• Extremely rigorous, critical thinker, self‑motivated, detail‑oriented, and able to work independently in a fast‑paced environment.
• Entrepreneurial mindset.
• Curiosity and eagerness to learn and grow professionally.

Quant Blueprint LLC is looking for a Commodities Quantitative Researcher to join their entrepreneurial investment team. This full-time position involves developing signals and strategies in a fast-paced environment with opportunities for career advancement.

You will play a crucial role in analyzing data, researching markets, and collaborating with seasoned professionals. Ideal candidates have a strong background in Python and quantitative analysis in commodities.

The estimated salary range for this role is between $100,000 to $200,000, reflecting the competitive nature of the position.