Perform exploratory statistics, data mining and profiling; combine and modify datasets; conduct intermediate quantitative analysis using common programming languages; build simple visualizations; track portfolio/campaign performance; document code; maintain internal controls and escalate risk issues; mentor junior analysts.
OVERVIEW:
Explores and manipulates data, builds models, and employs other statistical methods to conduct advanced analysis to understand/predict relationships between variables and provide data driven insights to guide strategic business decisions.
POSITION RESPONSIBILITIES:- Independently conduct exploratory statistics, mine and profile data to gain insights for use in advance statistical and quantitative analytics.
- Compile and combine data from multiple datasets into one or more datasets for analysis with common programming languages.
- Modify data warehouse as necessary; document and store approved code.
- Use common programming languages to conduct intermediate data manipulation and analysis with guidance from more senior team members. Track and report performance of portfolios/ campaigns. Identify deviations from expectations and explain variances.
- Conduct intermediate quantitative analysis to understand and quantify business problems leveraging statistical methods.
- Develop simple, but compelling visualizations to explore data.
- Provide guidance to less experienced analysts.
- Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite. Identify risk-related issues needing escalation to management.
- Design, implement, maintain and enhance internal controls to mitigate risk on an ongoing basis. Identify risk-related issues needing escalation to management.
- Promote an environment that supports belonging and reflects the M&T Bank brand.
- Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.
No supervisory responsibility.
MINIMUM QUALIFICATIONS REQUIRED:- Bachelor’s degree and a minimum of 3 years of related experience, or in lieu of a degree, a combined minimum of 7 years higher education and/ or work experience, including a minimum of 3 years related experience
- Familiarity with a common programming language
- Experience working in large databases
- 4 or more years related work experience in data analysis
- Intermediate skills in programming languages such as SQL, SAS, Python, Julia or Java
- Experience working with a statistical analysis software package
- Experience with one or more cloud databases.
- Experience working within an agile environment
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Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
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