Quantitative Researcher (ETFs)

Old Mission

$170K — $300K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Advanced degree in computer science, engineering, mathematics, statistics, or a hard science.
  • 5+ years of experience in quantitative research with proven statistical analysis expertise.
  • Proficient in Python; knowledge of VBA, R, Matlab, Java is a plus.
  • Strong written and verbal communication skills; able to multitask in a fast-paced environment.
  • Team-oriented problem-solving skills under pressure.
  • Passionate about financial markets and data; highly organized and detail-oriented.
  • Demonstrated trustworthiness and high ethical standards.

Responsibilities

  • Investigate and propose improvements to existing pricing models for equities, commodities, and FX.
  • Calibrate new models tailored to various market environments.
  • Reverse engineer market behavior in different scenarios.
  • Develop databases using existing resources to foster research and new ideas.
  • Analyze market data and microstructure for trading patterns.
  • Collaborate with traders and developers during the idea-generation process.

Benefits

  • Comprehensive medical, dental, vision, disability, and life insurance fully paid by the employer.
  • On-site fully stocked kitchen offering free breakfast and lunch daily.
  • Tuition reimbursement program for further education.
  • 401(k) plan with employer matching contributions.
  • Generous paid vacation, sick, and parental leave policies.
  • Commuter and flexible spending programs.
Full Job Description
About the Position

We are currently recruiting a Quantitative Researcher to join our ETF trading team in our Chicago headquarters. This Quantitative Researcher will be working directly with our international and domestic ETF/Equities trading group to review and develop pricing models, analyze and evaluate trades, and participate in idea generation to improve current models and algorithms. This Quantitative Researcher could potentially play a major role in growing the quant team and be expected to have an entrepreneurial mindset.

Responsibilities
  • Investigate existing equities, commodities, and FX pricing models and propose improvements.
  • Calibrate new models for unique market environments.
  • Reverse engineer how the rest of the world behaves in different market environments.
  • Develop databases of information, utilizing our expansive existing resources, to assist with new ideas and research.
  • Explore trading ideas by analyzing market data and market microstructure for patterns.
  • Participate in the idea-generation process with other traders and developers.

Required Skills
  • An advanced degree in a quantitative field such as computer science, engineering, mathematics, statistics, or one of the hard sciences.
  • Demonstrated expertise in statistical analysis. Ideally 5+ years of experience within quantitative research.
  • Programming skills in Python is a must and experience with VBA, R, Matlab, Java would be a good complement.
  • Exceptional communication both written and verbal and have the ability to handle multiple tasks in a time sensitive, fast paced, collaborative, collegial environment.
  • The ability to work and solve problems as part of a team, often in a high-pressure environment.
  • Successful candidates will have a passion for the financial market, working with large amounts of data and are strategic thinkers. Must be organized and detail-oriented and have the ability to manage multiple work streams.
  • Proven trustworthiness and performance under the highest ethical standards.

Benefits and Perks
  • Fully paid Medical, Dental, Vision, Disability, and Life Insurance
  • Fully stocked kitchen; free breakfast and lunch every day on-site
  • Tuition Reimbursement Program
  • 401(k) with employer match
  • Paid Vacation, Sick, and Parental leaves
  • Commuter and Flexible Spending Programs

Base Salary Range

$170,000 - $300,000 - Salaries are based on numerous factors such as skills, experience, and education. Our compensation package also includes a discretionary bonus and a comprehensive benefits program for full-time employees. For more information, reach out to your recruiter.

Old Mission is not accepting unsolicited resumes from any staffing/search firms. All resumes submitted by staffing/search firms to any employee at Old Mission via-email, the Internet or directly without a valid signed search agreement will be deemed the sole property of Old Mission, and no fee will be paid in the event the candidate is hired by Old Mission.

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