Data Scientist - Consumer Banking

Job Highlights

Using AI ⚡ to summarize the original job post

Responsibilities

• Translate analysis findings and technical topics, visualize data to explain results to a non-technical business audience and senior management.
• Identify new data capabilities to enable strategic objectives, partner with data enablement team to build solutions.
• Interact independently with business partners on data needs and respond to data requests.
• Perform challenging data queries, reconcile data, analyze results, and form conclusions for senior management.
• Drive a strong data-driven culture within the company by mentoring data analysts and increasing data capabilities in other internal functions.

Qualifications

Required

• Masters degree in quant field
• 3 years professional experience in retail banking performing data science work on customer related business questions
• 3+ years working in a data analytics role with hands-on experience in wrangling large data sets, conducting data analysis and developing insights from data
• Hands-on experience in data modelling, data engineering and data analysis tools such as BI tools, Power BI, SQL, Python (pandas, numpy)
• Working knowledge in developing reports and dashboards in Power BI or Tableau
• Strong communication, organizational and interpersonal skills, as well as the ability to prioritize and execute multiple objectives
• Ability to identify key insights and present results to a business audience
• Knowledge and experience in the banking industry and banking systems
• Financial Services experience and knowledge of Retail / Commercial Banking industry, products, and data highly desired
• Advanced knowledge of data structures and the ability to visualize data effectively to communicate to a business audience

About Analytic Recruiting Inc.

Analytic Recruiting is a recruitment firm specializing in placing candidates with quantitative or analytical skills across various industries, from entry-level to senior executive roles. They have expertise in Market Research, Quantitative Finance, Predictive Modeling, Data Science, Statistics, and Risk Management, and work closely with a wide range of clients, from Fortune 100 companies to startups, to match candidates with the right skills to job opportunities. With over 38 years of experience, they have successfully filled thousands of jobs for client companies.