Job Vacancy Head of Analytics and Insights Singapore September 2020 Citi

Information of Job Vacancy

Title of Job : Job Vacancy Head of Analytics and Insights Singapore
Company Name : Citi
Placement : Singapore
Date : 13 months ago ---> EXPIRED !
Expired : Yes

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Job Vacancy Head of Analytics and Insights Singapore 2020 Citi

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The Bus Analytics Function Grp Mgr manages multiple teams of senior professionals through other senior managers. The job requires a broad and comprehensive understanding of the different systems, theories and practices relevant to a function as well as practical experience of multiple business cycles. In-depth knowledge of the industry and direct competitors' products/services is also necessary in order to contribute to the commercial objectives of the business. Requires thorough understanding of strategic direction of the function within the business, combined with a solid conceptual/practical grounding in both the function and/ or area of expertise. Excellent communication skills required in order to influence a wide range of audiences. The job is likely to be involved in both internal and external negotiations which will have a major impact on the area managed, and possibly on other related areas and organization as a whole. Develops medium- to long-term plans and executes functional strategies for a large/complex country, cluster of countries, or business requiring coordination and integration across units. Provides input into strategic decisions affecting job family or function within a region or business. Full management responsibility of multiple teams, including management of people, budget and planning. Has authority to negotiate and make independent decisions on issues/activities that have critical impact or influence on company revenues, capital or business operations.

  • Analytics leader with experience in analytics and information management across multi-product relationships for customers and households
  • Must demonstrably understand the data sources and analytic techniques that are used at scale by large consumer finance institutions, but also have significant experience leading and innovating in the areas of customer recognition, cross-channel servicing and marketing, digital acquisitions and attribution, and client retention through a series of appropriate business intelligence, analysis, models and strategies, implemented either internally in our decision systems, or externally at third-party providers such as the credit bureaus and database marketing companies/DSPs
  • Significant influence and execution skills in ambiguous contexts, and should be able to articulate a regional strategy that stakeholders will accept, including colleagues in the areas of information technology, operations, marketing, finance, credit, fraud, and authorizations, in order to build next-generation data platforms and analytics solutions that improve the customer experience and create sustainable business growth outcomes
  • Passion for analytics as a craft and the people who practice it
  • Be a practitioner and an advocate for the value of analytics in refining business outcomes and must have a demonstrated ability to work within the company and across industries to identify and source talent, design required training to cover analytics skills gaps, and grow and promote analytics talent
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding group, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.


  • 15+ years of experience, including 10+ years' managerial experience
  • Financial service acumen & or experience to lead large cross functional initiatives
  • Outstanding relationship building skills and ability to communicate complex subjects in concise simple language
  • Exhibit exceptional influencing
  • Expertise in statistical modeling, big data/machine learning, data analysis, and excellent project management skills
  • Type of business expertise required includes: in-depth understanding of the various financial service business models, expert knowledge of a


  • Bachelors/University degree, Master’s degree preferred; managerial experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Business Overview

’s Asia Consumer Bank serves more than 120 cities in 17 markets across Asia and Europe. offers a diversified range of products ranging from retail banking, wealth management, insurance, mortgage, branded cards and loans to our 17 million clients. With more than a century of enviable brand and market leadership, we are competitively well-positioned to grow a high quality customer base that benefits most from our capabilities.

Regional Overview

's Asia Consumer bank is in the midst of a significant transformation to leverage data, digital, and mobile technologies to drive a better, more cost-effective, customer experience. Reaching our desired end-state of a forward compatible, data-driven enterprise will require significant technology, process, organizational, and cultural change. This role will be a critical role to partner with each of our business areas to leverage data and analytics to uncover and drive value.

Job Overview

Reporting directly to the Regional Asia/EMEA head of data and analytics, this role will manage a several hundred person direct & indirect team of analysts and data scientists in 17 markets across Asia and Europe to affect incremental business outcomes across all key lines of business/functions for the Consumer Bank: Retail Banking, Wealth Management, Deposit Products, Insurance, Mortgage, Marketing, Digital Banking, Small/Med Business, Credit Cards, Personal Lending, Controls, Fraud, Collections, Operations, Customer Service, and more. Supervise large analytics teams dedicated to each area across multiple countries. Be a key evangelist for data transformation, facing off against key senior executives as needed. We are aggressively seeking innovative, analytical, business-oriented leaders to help accelerate growth for the Bank. Align with global functions and data/analytics teams from other regions of as well as with other business lines (such as Corporate Banking). Success will be judged by revenue, cost, or efficiency impact across all of the lines of business.

Key Responsibilities of the Role

  • Analytics:
    • Understand key drivers of business results and how data and analytics can help accelerate outcomes; drive theory to execution with business partners to directly impact results
    • Be a champion of customer analytics, understanding millions of customers in multiple geographies in each of several lines of business while taking a customer-centric view versus a geographic or product-line view; “connect the dots” across several lines to leverage insights in one area that may apply to another
    • Direct the processing of large datasets using a wide variety of analytical and data science techniques to uncover insights and produce recommendations and opportunities for operationalizing analytical processes with appropriate technical foresight
    • Create an analytical roadmap and agenda, with appropriate prioritization; track progress; measure results
    • Use the analytics vendor landscape to make build vs buy recommendations / decisions
    • Work as a thought partner with lines of business, influencing outcomes often without direct control
    • Align thinking with and leverage other regional analytics teams (e.g. US/Mexico)
    • Leverage both design and customer research teams to further enhance and inform analytical experiences (e.g. personalization, etc).

  • Communications:
    • Continually, succinctly, and clearly communicate progress and results against the data/analytics agenda within the team, with peers, and with exec management
    • Create buzz, be an evangelist of the data/analytics transformation across the consumer bank
    • Speak in large group settings both internally and externally to create brand awareness for analytics
    • Continually “bring the outside in” to learn and deploy best practices from other organizations or industry forums
  • People:
    • Manage a large multi-hundred person geographically, culturally, and skill set-wise diverse data and analytics team
    • Manage within budget
    • Attract world-class talent to be part of the transformation of the Asia Consumer Bank
    • Upskill and retain talent through implementation of training or rotation programs; define clear career paths and criteria for success; create and use bespoke but consistent recruiting and employee assessments
  • Process improvements:
    • Drive agile and collaborative team-working processes throughout the data organization; monitor progress against activities and actively “connect the dots” across teams where appropriate
    • Help streamline working model by harmonizing region vs country vs COE, including investigating additional COE constructs/locations

Knowledge/Experience/Technical skills:

  • Experienced with analysis of large, consumer datasets consisting of both structured and unstructured data, both transactional and behavioural data
  • World-class on customer analytics – understanding individual customer behaviour patterns in acquisition, engagement, retention using individual propensity models, segmentation approaches, etc
  • Ideally, knowledge of a consumer banking business across all product lines and associated business acumen – or at minimum, background in any large scale consumer-oriented firm

Personal Skills:

  • Self-motivated & accountable – demonstrated ability to follow through to execution
  • Project Management Skills, ability to lead cross functional teams towards a common vision
  • Organized – can juggle multiple, potentially competing priorities with aplomb
  • Detail oriented – obsessed about quality
  • Superior communication skills – able to clearly articulate complex strategies/techniques and ideas, in both oral and written form, to senior management, with associated poise
  • Execution oriented – doesn’t remain in the theoretical; is able to make choices/decisions in the name of delivering rapid business impact
  • Collaborative – easy to work with, across all levels of the organization; builds effective working relationships
  • Bias for change – actively seeks out ways to improve processes, people, etc
  • Influence skills – able to influence outcomes without necessarily direct authority; experienced navigating large complex organizations to achieve results
  • Fully aware of what “good” looks like in terms of using analytics (people, process, technology) to drive value
  • Knows and has used or supervised a wide variety of analytical techniques ranging from innovative data visualizations to unsupervised data clustering to multivariate regressions to gradient-boosting machine learning models, and many more.
  • Demonstrated significant large-scale business impact through data & analytics
  • Is able to not only set vision and direction for the team but also demonstrate large-scale incremental business impact through analytics initiatives
  • Experience managing large, often geographically spread, analytics and data science teams
  • Experienced and knowledgeable about the vendor landscape and can advise on build versus buy decisions
  • Understands technical platforms and is fully aware of how to create and drive scalable solutions
  • Experienced leveraging 2nd party and 3rd party data to enhance our analytical understanding of our customers
  • Is versed in data platforms, campaign execution tools; understands what can scale and what cannot; directing data engineering teams particularly helpful
  • Uses Confluence, JIRA, and other agile team process tools to accelerate team outcomes
  • Must possess and demonstrate a “commercial mindset”
  • Understands how to integrate customer research/insights with analytical findings
  • Minimum 15 years experience in data/analytics


Grade :All Job LevelAll Job FunctionsAll Job LevelAll Job FunctionsSG


Time Type :Full time


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