CIT Group Inc.

Quantitative Analyst

US-NJ-Livingston
Job ID
24524
# Positions
1
Job Family
Risk Management - Quantitative Strategy
Type
Full-Time

Overview

About CIT

 

CIT (NYSE: CIT) was born in 1908 when Henry Ittleson found a new way to make financing available to businesses in St. Louis, Missouri. Soon CIT was forging paths across the country, into Canada and overseas.  But time and experience have produced innovations unimagined a century ago. True to its pioneering legacy, CIT remains an agent of opportunity, providing new resources and fresh perspectives to over one million clients across thirty industries around the globe.

 

CIT is a financial holding company. It provides financing, leasing and advisory services principally to middle market companies across more than 30 industries primarily in North America, and equipment financing and leasing solutions to the transportation sector. It also offers products and services to consumers through its Internet bank franchise and a network of retail branches in Southern California, operating as OneWest Bank, a division of CIT Bank, N.A.

 

For more than 100 years, CIT has steadily innovated, providing carefully tailored financing solutions to meet the needs of a changing global economy. Along the way, CIT continually redefined what it means to be a financing partner, providing ideas as well as capital to build businesses – and relationships – that have endured for decades.

Responsibilities

Quantitative analysis, research & modelling.

The Quantitative Strategies group partners with all business areas and corporate functions within the organization for model development, quantitative research, business analytics, risk management and process enhancement. All members of the team work in close collaboration across multiple areas as business priorities dictate.

The role combines elements of data science; programing & business analysis

Qualifications

  • Bachelor's degree or higher in applied statistics, physics, applied mathematics, engineering or other scientific degree where focus was empirical or experimental work. MSc or higher preferred
  • Enthusiasm and evidence of programing skills (beyond Excel VBA): Python, MATLAB, SAS, SQL
  • 1-3 years' experience and evidence with real world data wrangling (querying, storing, cleaning, aggregating & summarizing data)
  • Articulate communicator (can summarize complicated ideas succinctly for non-technical audiences)

Options

Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
Share on your newsfeed