Wealth Analyst, Data Analytics

2 weeks ago

Singapore Citibank Full time $90,000 - $120,000 per year
Citi

Shape your Career with Citi

Citibank

Sr. Wealth Analyst Singapore.

Key Responsibilities:
  • Ability to link analytical techniques and framework to business KPI's, customer metrics and customer experience.
  • Work closely with partner business functions viz., investment advisory, business performance management, investment solutions, segment, digital growth, control & operations teams to execute on growth strategy.
  • Drive campaign analytics initiatives to track, measure and optimize outcomes for customers and Citi Wealth
  • Partner with offshore team to launch campaigns on time across various digital and offline channels ensuring optimal quality. Build a robust tracking strategy with regular updates to program managers.
  • Generate and distribute personalized data insights, in a timely fashion and at scale, enabling client facing teams deliver relevant wealth or service advisory
  • Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, 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.
Qualifications:
  • 3 years of experience with exposure to Financial Services, Consulting, Fintech / Technology with minimum 2 years of data analytics experience.
  • Experience analyzing large datasets; applying mathematical, statistical and quantitative analysis techniques to perform complex analyses and data mining.
  • Proficiency in programming is essential. Knowledge of Python / R / SQL is a plus.
  • 2 years' experience and expertise in Business Intelligence, Digital Analytics, Customer / Product Analytics using a variety of Big Data and/or Analytics, Predictive modeling and data manipulation/extraction from huge / complex databases using SAS / SQL/ R/ Python Hadoop is highly preferred.
  • Ability to develop dashboards using visualization tools like Tableau is highly preferred.
Education:
  • Bachelors/University degree, preferably related to Data & Analytics/ Computer Science/Math & Statistics
Personal Skills:
  • Demonstrated passion for numbers, strategic planning skills, financial products / emerging big data technology and how they will impact the consumer experience
  • Curious and Self-Motivated
  • Strong Communication (both written and verbal), organizational skill, documentation and power point skill in order to make visually impactful presentation / newsletter.
  • Attention to detail is paramount.
  • Perform in a high-energy fast paced environment with tight deadlines.
  • Team player and highly collaborative is a must.
  • Have a 'Can do' and 'Get it done' attitude - do whatever necessary and take full ownership of delivery.
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