Senior Quantitative Researcher, Buy-Side
We are looking to hire a highly talented Senior Quantitative Researcher to join the technology team. This Senior Quantitative Researcher position is 100% Onsite and NOT open for Remote.
Senior Quantitative Researcher Responsibilities:
- Work collaboratively with the technology and business teams to develop an understanding of complex financial markets, products, and strategies.
- Analyze financial market data to identify patterns and potential opportunities.
- Develop forecasts and building predictive and profitable trading models.
- Explore and work with industry leading software and research tools.
- Work alongside industry experts in the fields of technology and quantitative finance.
- Lead/mentor junior team members.
- Work on challenging and dynamic problems in a team atmosphere.
- Take ownership of and leading projects from start to finish.
Senior Quantitative Researcher Qualifications:
- 5-15 years of relevant experience.
- Futures Asset Class and High Frequency experience preferred.
- Must have direct experience with a Buy-Side firm.
- Knowledge of programming concepts (C++ preferred but not required).
- Experience actively building predictive models and analyzing the market.
- Desire to grow into leadership role preferred.
- Problem solvers who are driven, self-motivated, and "outside of the box" thinkers.
- Motivated, dependable, and responsible team players.
- Excellent written and spoken communication skills.
- Bachelor’s, Master’s, or PhD in a related field (Mathematics, Statistics, Physics, Computer Science).
- Must be willing to take ownership.
*Looking for candidates from top tier universities with a strong GPA. PhD in mathematics, statistics, physics or engineering is preferred. Will consider candidates who have a Master's degree along with work experience. Top universities include Massachusetts Institute of Technology/MIT, Carnegie Mellon University, Princeton University, Harvard University, University of California-Berkeley, Stanford University, University of Chicago, California Institute of Technology, University of California, Los Angeles, Columbia University, New York University, University of Michigan, Ann Arbor, Yale University, Cornell University, Brown University, etc.
Benefits include medical insurance, retirement plan, PTO, etc.
Keywords: Chicago IL Jobs, Senior Quantitative Researcher, Buy-Side, C++, Java, Python, R, Quant, Machine Learning, Financial, Trading, Software Engineer, Software Developer, Programming, Programmer Analyst, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago Recruiting
Looking to hire a Senior Quantitative Researcher in Chicago, IL or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire Senior Quantitative Researchers for jobs in Chicago, Illinois and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today!
Please check out all of our jobs at www.ginastechjobs.com.
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Seeking a Senior FPGA Engineer to lead FPGA design, validation, and integration for high-performance trading systems at an onsite Chicago technology team.
An established Chicago trading firm seeks a Senior Linux Systems Engineer to lead low-latency infrastructure, automation, and high-performance systems work on-site.
Expeditors is hiring a Senior Data Scientist to develop and maintain MLOps pipelines and integrate GenAI capabilities into analytics solutions supporting operations across 70+ offices.
Jerry.ai is hiring a data scientist to lead experimentation and machine learning initiatives that drive scalable user acquisition and product growth at a well-funded, pre-IPO startup.
Lead the design and deployment of production machine learning models at Varo to improve fraud detection, credit decisions, and personalized customer experiences for millions of users.
Lead Quest’s enterprise AI and data analytics strategy, building teams and platforms that embed ethical, scalable AI into products and business processes.
Bring strong quantitative and engineering skills to Capital One’s credit and financial risk team to develop, validate, and operationalize machine learning models that drive risk and loss forecasting.
Capital One is hiring a Senior Associate Data Scientist to deploy, optimize, and scale consumer credit risk models and model pipelines to support loss forecasting, stress testing, and strategic decision-making.
Lead causal analysis and product analytics at KUNGFU.AI, partnering with multidisciplinary teams to deliver production-ready AI insights in a fully remote senior data scientist role.
Capital One is seeking a Lead Machine Learning Engineer to architect, build, and productionize scalable ML systems using Python, cloud platforms, and modern MLOps practices.
Lead data science and digital acquisition analytics for paid search and personalization initiatives to drive efficient commercial customer growth and targeted acquisition strategies at American Express.
Curinos is hiring a Senior Data Scientist to apply ML, causal methods and reinforcement-learning approaches to customer behavior and marketing optimization for consumer banking products.
Senior analytics leader needed to drive price elasticity modeling and prescriptive analytics engagements for enterprise clients, combining hands-on modeling skills with strong stakeholder-facing consulting experience.
Experienced AI Developer wanted to architect and deploy RAG/LLM infrastructure, vector search, and agentic systems to power Jonas Software's new AI initiatives across industry verticals.
Lead Paid Search Digital Acquisition Analytics at American Express to design and deliver identity-driven personalization and targeting solutions that grow US commercial customer acquisition and engagement.