A*******e
发帖数: 8 | 1 please send your resume to a**********[email protected],
and let us know which role you are interested in, when you can start working
, your current visa status, need sponsorship or not etc.
Role 1:
Optimization Specialist (Pay is very good)
9+ Month Contractor Role
Location: Stamford, CT
Industry: Travel and Lodging Services
Descriptions
Work closely with business teams and technical teams to gather
, analyze and understand business requirements, participate and contribute
to solution models, and design/debug/develop the final software product
Capabilities and expertise to perform analysis on data,
statistical and optimization solutions
Implementation experience in SQL, CPLEX and R is required, JAVA
highly desirable
Experience in a full life-cycle software development environment
is desirable. Responsibilities
Perform analysis on existing data to identify potential
opportunities in forecasting and optimization
Design, document, develop, and code mathematical models into
software solutions using CPLEX, R, Java (J2EE), SQL
Design and develop repeatable unit testing strategies with
development teams
Formulate and foster innovative ideas using existing data sets,
combined with `to be attained` business knowledge
Minimum of a Masters Degree in Operations Research, PhD
preferred
Minimum 3 years of industry experience in related fields
Statistical and data mining expertise, including 3rd party tools
such as R (preferred) or SAS
Excellent written and verbal communication skills
Creative approach to problem solving and solution design
CPLEX and Concert Technology
Oracle/SQL, PL/SQL
Linear and Integer Programming methods
Knowledge of JAVA/J2EE
Role 2:
JAVA Developer
9+ Month Contractor Role
Location: Stamford, CT
Industry: Travel and Lodging Services
Descriptions
Work closely with business teams and technical teams to gather, analyze
and understand business requirements, participate and contribute to solution
models, and design/debug/develop the final software product
Work closely with business counterparts within the same discipline to
collaborate on innovative solutions as well as address problems and issues
that arise day to day.
Ideal candidate should have the ability and desire to understand the
hospitality business and how analytics and relevant data can/should be
applied to forecasting and optimization models
Capabilities multitask and stay focus on goals.
Implementation experience in JAVA, algorithm development experience
preferred.
Experience in a full life-cycle software development environment is
desirable.
Requirements
Minimum of a Bachelor Degree in Computer Science
Minimum 3 years of industry experience in related fields
Creative approach to problem solving and solution designs
Creative approach to problem solving and solution design
Oracle/SQL, PL/SQL
Expertise of JAVA / J2EE
Role 3:
Credit Risk Analytics (Industry experience is essential)
Full time
Location: New York, NY
Industry: Commercial Bank
Develop and use credit scoring models and other risk analytics in consumer
lending.
Use sophisticated statistical techniques to develop scorecards, decision
tree based customer segmentation schemes, profiling analysis, and other
analytically based tools in day to day operations.
Design modules for advanced score development and analytical tools.
Participate in the implementation of sophisticated financial models in live
operating environments within the organization.
Qualifications:
Masters or PhD in Statistics, Economics / Econometrics, Applied Mathematics,
Operations Research, Industrial Engineering, or other quantitative
discipline
2-4 years experience in quantitative analysis and statistical modeling
SAS and SQL expertise
Good understanding of consumer finance (lending / retail banking)
Experience in scorecard development, especially if in consumer credit risk,
is a plus
Experience in consumer finance industry (Retail Banking), consulting for
Retail Financial Services and exposure to International markets will be a
plus
Role 4:
Retail Analytics
Full time
Location: Minneapolis, MN
Industry: Retail Chain
Use sophisticated statistical techniques to help business analytics and
develop credit risk related models.
Qualifications:
B.S., Masters or PhD in Statistics, Economics / Econometrics, Applied
Mathematics,
Operations Research, Industrial Engineering, or other quantitative
discipline
0-2 years experience in quantitative analysis and statistical modeling
SAS and SQL expertise
Good understanding of retail business
Experience in scorecard development, especially if in consumer credit risk,
is a plus |
|
