Quant Developer

new york, New York

A multinational bank and financial services company offering retail, corporate and investment banking as well as wealth management is currently seeking a Quant Developer to join their team in New York. This firm believes that to better understand their employee’s needs they must better understand their employees.

This firm recognizes each employee wears many hats and takes on countless responsibilities; in turn they give back to their employees. They offer a flexible work environment and incredible benefits. This firm also believes in the power of networking, learning for life and giving back to the community.

This candidate will work in a Quant RAD capacity with the equity finance desk. You will convert evolving business and trade ideas into strategic solutions. He/She must have securities industry experience within IT infrastructure and worked closely with front office quantitative analytics and IT teams. You will be putting together robust proof of concepts using Python, F#, VBA, Matlab, R, SQL, and Excel, which are further transformed into scalable strategic solutions using firm approved technological platforms such as Microsoft.Net, Java, SQL Server, Python, and C++.

Responsibilities:

  • Build strong partnership with global stakeholders (includes traders, product management, product control, quants and other stakeholders across all regions) to implement FO Analytics & FO Risk management strategy. 
  • Focus on various aspects of the projects leading to the successful implementation and improvements of the business critical tasks and risk management systems.
  • Maintain right balance between strategic & tactical solutions in order to drive organization towards achieving long term goals while continually delivering incremental benefits to business.
  • Perform sound root cause analysis for all the user queries and provide valid justification to stake holders.
  • Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Policies and Policy Standards.

Skills:

  • Bachelor’s or Master’s degree from an accredited college or university in Computer Science, Math, Stats or related engineering field.
  • 4+ years in computer programming using scalable technologies using Python, F#, VBA, Matlab, R, SQL, and Excel
  • 4+ years of hands-on experience in all phases of software development lifecycle.
  • 2+ years of prior Quant/RAD (Rapid Application Developer) experience
  • 2+ years of Financial industry IT experience or related (buy or sell side)
  • Knowledge of quantitative finance or relevant securities industry experience is a big plus
  • Exposure to Data Science discipline
  • Investment Bank FO/BO experience

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