Specialzied Analytics Intermediate Analyst

Citibank - More jobs by this advertiser
Specialzied Analytics Intermediate Analyst-19014948
Description
 

Spec Analytics Intmd Analyst

 

Job Description:

  • Position Title: Principal Analyst (Manager) 
  • Grade/Level: C11
  • Business Group: CSIL-GDM 
  • Function/Group: GDM
  • Department: GDM 
  • Location: Bangalore

About (Name of Business Group):

  • The Citi Decision Management team is a global community that objectively connects and analyzes information, to create actionable intelligence for our business leaders. It identifies fact based opportunities for revenue growth in partnership with the businesses. The function balances customer needs, business strategy, and profit objectives using best-in-class and relevant analytic methodologies. To accomplish this, the group focuses on linkages of information, tools and analytics

Role Outline/Job Summary:

  • The role of Principal Analyst is based at GDM Bangalore and reports to the AVP leading the team
  • The key requirement for the role is the ability to work with data, understand the project objectives, undertake analysis to accomplish project objectives and present the results in a coherent manner. The individual will possess the ability to work in teams, mentor junior resources and display a proactive learning attitude.

Role & Responsibilities:

 

Business/Department Objectives: 

  • Provide analytic support to the business teams, understand the business context and formulate and execute appropriate analytical approach (es) to address the business situation. Independently manage end to end partner communication

Core Responsibilities: 

  • Analytic Project Execution: Own and deliver consistently on multiple and complex analytic projects. This would require an understanding of business context and the ability to formulate and execute analytic approaches to address the business situation

Business Knowledge:

  • Develop an understanding of the domain/function. Manage business process (es) in the work area. The individual is expected to develop domain expertise in his/her work area
  • Capability Development: Participate in initiatives run in GDM for getting the organization ready for the Future
  • Communication: Effectively communicate strategic considerations with team, partners and senior management

Day-to-Day Responsibilities: 

  • POC Execution: Work on project/unstructured problems businesses are facing across markets, look at providing solutions that go beyond traditional methods – Using advanced technologies and new data sources 
  • Teamwork: Develop cross site relationships to enhance leverage of ideas. Set and manage partner expectations. Coach and mentor analysts across the site on Next Gen Techniques and Data Sources
  • Communication: Independently manage end to end project communication across the various levels in the organization
  • Institutionalize the Next Gen Techniques by producing patentable solutions for the organization
  • Keep abreast of the latest developments in the analytic space across industries for potential uses

Financial/Budgetary: No

 

Individual Contributor (IC)/Managerial: IC

 

Key Deliverables: 

  • Proven problem solving skills in industrial settings is a must
  • Proven ability in model building and application experience in data mining techniques and tools (SAS and/or other modeling packages like R, Matlab, Mathematica, ILOG etc)
  • Competent programming aptitude with excellent computation and data mining skills Expertise in R, Exposure to Python, SAS, SPSS, Java.

Experience of:

  • Big Data/HADOOP – Expertise in HIVE/PIG , Java
  • Text Analytics – Ability to synthesize unstructured data and find actionable themes/insights – exposure to SPSS/Python/R
  • Pattern Mining/Detection
  • Machine Learning Algorithms
  • Understanding of financial domain is preferred 
  • Ability to translate and articulate technical thoughts and ideas to a larger audience including influencing skills with peers and senior management
  • Self-motivated to continuously upgrade one’s domain knowledge, keep abreast of latest developments in the field and evaluate its application in the business area on a consistent basis
  • Exceptional commitment to stay focused in one’s pursuit towards excellence with demonstrated results of the same

Percentage of Travel: No                              

 

Relocation: Yes

 

Qualifications:

 

Required:

 

Education: 

  • PhD/Post Doc from a reputed institution in India (IISc, IIT’s, ISI, IIM’s etc) or Abroad in any advanced quantitative modeling oriented discipline including but not limited to Machine learning, Statistics, Marketing Science, Operations Research, Econometrics, Stochastic Finance, Distributed and parallel computing, Digital media analytics, etc.
  • Field of post graduation – Computer Science, Mathematics, Operations Research, Statistics, Econometrics, Management Science and related fields. Could be any graduate degree holder

Experience: 

  • Strong academic record and publications in reputed journals or conferences
  • 4-6 years of experience in the field of advanced quantitative techniques while working for leading global academic institutes or corporate innovation research labs or analytics organizations of large corporates or in consulting companies in analytics roles
  • Exposure to 2 or more of the following fields
  • Big Data/HADOOP – Expertise in HIVE/PIG , Java
  • Text Analytics – Ability to synthesize unstructured data and find actionable themes/insights – exposure to SPSS/Python/R
  • Pattern Mining/Detection
  • Exposure to Machine Learning Algorithms
  • Experience in mathematical programming, including non-linear/mixed integer programming in Xpress-Mosel, CPLEX, Gurobi, SAS OR, or other open source solvers (such as AMPL, GLPK) would be advantageous
  • Ability to think through and build frameworks (constraints, objective etc.) for optimization of business problems is a plus

Organizational Relationships:

 

Reports to:

  • Direct: AVP of the team
  • Matrix: VP/SVP of the team

Qualifications
 

Spec Analytics Intmd Analyst

 

Job Description:

  • Position Title: Principal Analyst (Manager) 
  • Grade/Level: C11
  • Business Group: CSIL-GDM 
  • Function/Group: GDM
  • Department: GDM 
  • Location: Bangalore

About (Name of Business Group):

  • The Citi Decision Management team is a global community that objectively connects and analyzes information, to create actionable intelligence for our business leaders. It identifies fact based opportunities for revenue growth in partnership with the businesses. The function balances customer needs, business strategy, and profit objectives using best-in-class and relevant analytic methodologies. To accomplish this, the group focuses on linkages of information, tools and analytics

Role Outline/Job Summary:

  • The role of Principal Analyst is based at GDM Bangalore and reports to the AVP leading the team
  • The key requirement for the role is the ability to work with data, understand the project objectives, undertake analysis to accomplish project objectives and present the results in a coherent manner. The individual will possess the ability to work in teams, mentor junior resources and display a proactive learning attitude.

Role & Responsibilities:

 

Business/Department Objectives: 

  • Provide analytic support to the business teams, understand the business context and formulate and execute appropriate analytical approach (es) to address the business situation. Independently manage end to end partner communication

Core Responsibilities: 

  • Analytic Project Execution: Own and deliver consistently on multiple and complex analytic projects. This would require an understanding of business context and the ability to formulate and execute analytic approaches to address the business situation

Business Knowledge:

  • Develop an understanding of the domain/function. Manage business process (es) in the work area. The individual is expected to develop domain expertise in his/her work area
  • Capability Development: Participate in initiatives run in GDM for getting the organization ready for the Future
  • Communication: Effectively communicate strategic considerations with team, partners and senior management

Day-to-Day Responsibilities: 

  • POC Execution: Work on project/unstructured problems businesses are facing across markets, look at providing solutions that go beyond traditional methods – Using advanced technologies and new data sources 
  • Teamwork: Develop cross site relationships to enhance leverage of ideas. Set and manage partner expectations. Coach and mentor analysts across the site on Next Gen Techniques and Data Sources
  • Communication: Independently manage end to end project communication across the various levels in the organization
  • Institutionalize the Next Gen Techniques by producing patentable solutions for the organization
  • Keep abreast of the latest developments in the analytic space across industries for potential uses

Financial/Budgetary: No

 

Individual Contributor (IC)/Managerial: IC

 

Key Deliverables: 

  • Proven problem solving skills in industrial settings is a must
  • Proven ability in model building and application experience in data mining techniques and tools (SAS and/or other modeling packages like R, Matlab, Mathematica, ILOG etc)
  • Competent programming aptitude with excellent computation and data mining skills Expertise in R, Exposure to Python, SAS, SPSS, Java.

Experience of:

  • Big Data/HADOOP – Expertise in HIVE/PIG , Java
  • Text Analytics – Ability to synthesize unstructured data and find actionable themes/insights – exposure to SPSS/Python/R
  • Pattern Mining/Detection
  • Machine Learning Algorithms
  • Understanding of financial domain is preferred 
  • Ability to translate and articulate technical thoughts and ideas to a larger audience including influencing skills with peers and senior management
  • Self-motivated to continuously upgrade one’s domain knowledge, keep abreast of latest developments in the field and evaluate its application in the business area on a consistent basis
  • Exceptional commitment to stay focused in one’s pursuit towards excellence with demonstrated results of the same

Percentage of Travel: No                              

 

Relocation: Yes

 

Qualifications:

 

Required:

 

Education: 

  • PhD/Post Doc from a reputed institution in India (IISc, IIT’s, ISI, IIM’s etc) or Abroad in any advanced quantitative modeling oriented discipline including but not limited to Machine learning, Statistics, Marketing Science, Operations Research, Econometrics, Stochastic Finance, Distributed and parallel computing, Digital media analytics, etc.
  • Field of post graduation – Computer Science, Mathematics, Operations Research, Statistics, Econometrics, Management Science and related fields. Could be any graduate degree holder

Experience: 

  • Strong academic record and publications in reputed journals or conferences
  • 4-6 years of experience in the field of advanced quantitative techniques while working for leading global academic institutes or corporate innovation research labs or analytics organizations of large corporates or in consulting companies in analytics roles
  • Exposure to 2 or more of the following fields
  • Big Data/HADOOP – Expertise in HIVE/PIG , Java
  • Text Analytics – Ability to synthesize unstructured data and find actionable themes/insights – exposure to SPSS/Python/R
  • Pattern Mining/Detection
  • Exposure to Machine Learning Algorithms
  • Experience in mathematical programming, including non-linear/mixed integer programming in Xpress-Mosel, CPLEX, Gurobi, SAS OR, or other open source solvers (such as AMPL, GLPK) would be advantageous
  • Ability to think through and build frameworks (constraints, objective etc.) for optimization of business problems is a plus

Organizational Relationships:

 

Reports to:

  • Direct: AVP of the team
  • Matrix: VP/SVP of the team
  



28 June 2019
Location: India Kalmar Bangalore
Work type:
Full time
Sector:
Banking and Financial Services
Profession:
Other
PLEASE! No enquiries from Recruitment Agencies or Headhunters.

Only direct applications will be considered.

This career opportunity is no longer open.
Please search for current vacancies here.


Bookmark and Share
  • Previous Next


This website uses cookies

This website uses cookies to improve user experience. By using our website you consent to all cookies in accordance with our Cookie Policy.
I agree
Read more