Analytics Manager - Decision Management Team

Analytics Manager

Global Decision Management

The 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 Vice President is based on Global Decision Management - COE and reports to the SVP leading the team

The key requirement for the role is the ability to work with large-scale data and new tools/techniques to build strong capabilities in Big Data, Machine Learning, Digital and FinTech to solve key business challenges

Role and Responsibilities:

Business/Department Objectives:

The Data Sciences team is a global capability team which has the mandate to accelerate banks journey towards being future ready.

The Key Objectives are :

- Build strong capabilities in Big Data, Machine Learning, Digital and FinTech to solve key business challenges

- Continuously watch and learn from evolving trends

- Be forward compatible - explore new problem-solving methods

Core Responsibilities :

- Develop new solutions that have high impact on revenue, expense management or customer experience

- Use advanced Platforms (Big Data) and capabilities (Machine Learning) to improve ability to engage with customers

- Developing strong capabilities in Big Data, Machine Learning, and Pattern mining:

- Build solutions that improve customer targeting- like personalized offers (Recommender systems), Pricing/Product optimization, Journey mapping, Customer Acquisitions - Digital/Clickstream based real-time offers and Channel management

- Industrialization of Big Data and Machine Learning industrializing best practices across markets to ensure scaled deployment of solutions with strong business demand

Thought Leadership :

Working with the site leadership and help define the agenda for Next Generation analytics (Big Data and machine learning)

Organizational Development :

Institutionalize analytic next-gen learnings across the site.

Develop Consulting :

Advise businesses on new ways to solve business problems, inform them of industry practices that can improve business metrics.

Relationship Management and Communication :

Effectively communicate strategic considerations with team, partners and senior management.

Day-to-Day Responsibilities :

- Collaborate with business teams to understand the challenges and innovatively come up with solutions to meet their requirements

- Provide technical leadership and subject matter expertise on machine learning and big data to Decision Management globally

POC Execution :

- Work on multiple project/unstructured problems businesses are facing across markets, look at providing solutions that go beyond traditional methods - Using advanced technologies and new data sources

- Institutionalize the domain knowledge by producing patentable solutions for the organization

Research and Development :

- Keep abreast of the latest developments in the analytic space across industries for potential uses. Invest time in researching the applicability of such solutions within Citi

Talent Development:

- Supporting in training the resources and getting them future ready

- Liaison with the Infrastructure and platforms team to define the tools and platforms required by the center for next-generation analytics

Key Deliverables:

- Signification exposure and proven ability in Deep learning, Natural Language Processing, and Understanding (NLP/NLU), Large Scale Machine Learning, Distributed systems for Machine learning

- Experienced in developing and deploying solutions in the space of machine learning in real-time platforms

- Proven problem-solving skills in industrial settings - ability to convert open-ended business problems into analytical problems and developing solutions for them

- Competent programming aptitude with excellent computation and data mining skills - Competence in R, Python, SAS, SPSS, Java and Spark/Scala

Experience in :

- Big Data/HADOOP

- Text Analytics - Ability to synthesize unstructured data and find actionable themes/insights

- Pattern Mining/Detection

- Machine Learning Classification Algorithms

- Deep Learning and Neural Networks

- 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

Qualifications :

Required:

Education:

Field of Post-Graduation - Computer Science, Mathematics, Operations Research, Statistics, Econometrics, Management Science and related fields. Could be any graduate degree holder

Strong academic record and publications in reputed journals or conferences

Experience:

10+ years of experience in the field of advanced quantitative techniques, data sciences and large-scale machine learning 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

Certifications:

Skills:

Signification exposure and proven ability in Deep learning, Natural Language Processing and Understanding (NLP/NLU), Large Scale Machine Learning, Distributed systems for Machine learning

Expertise Required:

Big Data/HADOOP - HIVE/PIG, Java and Spark/Scala

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

Other:

Field of Post-Graduation - Computer Science, Mathematics, Operations Research, Statistics, Econometrics, Management Science and related fields. Could be any graduate degree holder