*responsibilities*:
- incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
- identifies and compiles data sets using a variety of tools (e.g. Sql, access) to help predict, improve, and measure the success of key business to business outcomes
- responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
- incumbents in this role may often be referred to as data scientists
- specialization in marketing, risk, digital and aml fields possible
*qualifications*:
- previous related experience preferred
- have the ability to retrieve and manipulation data
- working experience in a quantitative field
- possess analytic ability and problem solving skills
- excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment
*education*:
- bachelors/university degree or equivalent experience
this job description provides a high-level review of the types of work performed.
other job-related duties may be assigned as required.
key responsibilities:
- work together with other areas of the bank (pricing, modeling, product, segment, risk, behavioral economics, etc.) to design and implement tests within gcb.
- through statistical techniques measure tests value to identify high impact opportunities and propose strategies that will prioritize business and customer growth translating into incremental revenues.
- summarize key findings and present to top management.
- structure, do and validate analysis from various sources/categories (demographic, financial, credit bureau, transactional, social media, etc.).
- develop testing tools, which will help us automatize the process to have a better focus on understanding customers and products dynamics.
- valuation and tracking of key initiatives.
requirements/qualifications:
- intern's in actuarial science, mathematics, engineering, economics or related.
- 1+ years of work/academic experience closely with in statistics, financial analysis.
- english level: intermediate
skills/competencies:
- very strong analytical skills and statistical techniques understanding
- ability to generate insights from numbers and translate them into actionable strategies
- skills and interest in programming and statistical analysis (experience with sas, sql, r or python preferred)
- interest or experience in testing, sampling, predictive modeling or machine learning - preferred
- negotiation, leadership, and communication (storytelling and data visualization) skills
- document complex strategies and ml models for internal and external auditors.
- advanced skills in excel and power point
- knowledge of consumer banking products - preferred
- self-organized, collaborative, proactive and creative
- interpersonal skills: ability to create synergies with other teams*job family group*:
decision management
- *job family*:
specialized analytics (data science/computational statistics)
- *time type*:
full time-
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