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Senior Software Engineer

Employer
Selby Jennings
Location
Boston, USA
Salary
Negotiable
Closing date
Dec 12, 2023

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Job Function
Other
Industry Sector
Finance - General
Employment Type
Full Time
Education
Bachelors
Essential Qualifications:
  • Possess 5-7 years of professional experience in software engineering, with a specific emphasis on quantitative applications.
  • Demonstrate expert proficiency in Python and Pandas, coupled with a high level of competence in related scientific libraries such as NumPy, SciPy, statsmodels, and scikit-learn.
  • Showcase hands-on experience in developing mission-critical production systems, incorporating a deep understanding of best practices for testing, monitoring, and deployment.
  • Exhibit proficiency on Linux platforms and a solid grasp of Git.
  • Possess a working knowledge of one or more relevant database technologies, such as MS SQL, Postgres, or MongoDB.
  • Illustrate a proven track record of working with large data sets, both structured and unstructured.

Advantageous Skills:
  • Bring experience in quantitative software development within a front-office setting, such as a hedge fund, proprietary trading firm, or investment bank.
  • Show aptitude for mentoring junior team members and effectively managing projects.
  • Display proficiency in building web applications using modern frameworks like React.
  • Demonstrate familiarity with distributed computing technologies like Spark, Dask, Kubernetes, and Redis.
  • Exhibit knowledge of modern data engineering practices, including data pipeline & ETL tools, distributed storage & processing, and data warehousing.
  • Possess a strong understanding of financial markets and instruments.
  • Have experience working with financial market data.
  • Show proficiency in relevant mathematical domains, such as statistics and time-series analysis.

Personal Attributes:
  • Hold a strong academic record with a degree rich in mathematical and computing content (e.g., Computer Science, Mathematics, Engineering, or Physics).
  • Demonstrate intellectual robustness with a keenly analytic approach to problem-solving.
  • Be self-organized, showcasing the ability to manage time effectively across multiple projects and amidst competing business demands and priorities.
  • Be dedicated to delivering value to the business, with an unwavering commitment to process improvement.
  • Possess strong interpersonal skills, enabling you to establish and maintain close working relationships with quantitative researchers, portfolio managers, traders, and senior business professionals.
  • Be a confident communicator, capable of articulating points concisely and positively dealing with conflicting views.

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