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Data Analytics/ Quantitative Research Engineer (R, Python, SAS, SQL)
Data Analytics/ Quantitative Research Engineer (R, Python, SAS, SQL)-March 2024
Virtual
Mar 28, 2026
About Data Analytics/ Quantitative Research Engineer (R, Python, SAS, SQL)

  Description:

  Responsible for independently conducting quantitative analytics and modeling projects.

  Responsible for developing new models, analytic processes or systems approaches.

  Creates documentation for all activities and works with Technology staff in design of any system to run models developed.

  Successfully use advanced predictive models and analytics to derive insights from data to implement business strategy and automation

  Incumbents possess excellent quantitative/analytic skills and a broad knowledge of financial markets and products.

  Assess accuracy and sanity of data sources and implement efficient pre-processing processes

  Graduate degree in quantitative discipline (e.g. Mathematics, Economics, Engineering, Finance, Physics)

  2+ years of experience in model development, statistical work, data analytics or quantitative research or PhD

  Experience with large data sets

  Strong Programming skills e.g. R, Python, SAS, SQL or other languages

  Strong analytical and problem-solving skills

  Excellent written and verbal communication skills for coordinating with stakeholders

  Self-starter and ability to multitask with tight deadlines and navigate changing priorities in a fast-paced environment

  Knowledge of predictive modeling, statistical sampling, optimization, machine learning and artificial intelligence techniques

  Strong technical writing, communication and presentation skills and ability to effectively communicate quantitative topics with non-technical audiences

  Effective at prioritization/time and project management

  Broad understanding of financial products

  As an equal opportunity employer, ICONMA prides itself on creating an employment environment that supports and encourages the abilities of all persons regardless of race, color, gender, age, sexual orientation, citizenship, or disability.

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