Python Developer - Equity Trading System experience - New York, NYC

Company: Synechron
Location: New York , New York, United States
Type: Full-time
Posted: 01.JAN.2021
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About Synechron: ( ) Accelerating Digital for Banks, Asset Managers, and Insurance companies. Headquartered in New York and with 22 office...


About Synechron: ( )

Accelerating Digital for Banks, Asset Managers, and Insurance companies.

Headquartered in New York and with 22 offices around the world, Synechron is a leading Digital Transformation consulting firm and is working to Accelerate Digital initiatives for banks, asset managers, and insurance companies around the world. Synechron uniquely delivers these firms an end-to-end Digital, Consulting and Technology capabilities with expertise in wholesale banking, wealth management and insurance as well as emerging technologies like Blockchain, Artificial Intelligence, and Data Science. This has helped the company to grow to $650 Million+ in annual revenue and 10,000+ employees, and we're continuing to invest in research and development in the form of Accelerators (prototype applications) developed in our global Financial Innovation Labs (FinLabs).

Synechron Inc is seeking Python Developer - Equity Trading system experience within financial services to join our NYC team.

Responsibilities & Qualification:

  • Must have hands-on strong python development experience who can write object oriented code and debug.
  • Collaborate with data engineers to build data and model pipelines.
  • Exploring and visualizing data (with Tableau or Pandas and Matplotlib) to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
  • Defining the preprocessing and feature engineering to be done on a given dataset (correlation, missing-ness, imputation)
  • Defining validation strategies (holdout, cross validation, walk forward, random sampling, bootstrapping)
  • Training models (Traditional and Deep learning for time-series data) and tuning their hyper-parameters.
  • Analyzing the errors (plot train and test/validation errors) of the model and designing strategies to overcome them.
  • Deploying models to production.
  • Programming experience in Python (sklearn, pandas, numpy, tensorflow), SQL.
  • Understanding of Agile Concepts Desired Skills
  • Knowledge of stock loan / equity swaps a plus
  • Knowledge of the trade lifecycle (Trading, Middle Office, Settlements) a plus

Basic Qualifications:

  • Excellent communication and interpersonal skills
  • Detail orientated and driven personality
  • Ability to be flexible within a team environment
  • Ability to self- motivate, multi task and think independently
  • Should graduate degree in Computer Science or related filed.
- provided by Dice

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