Data Scientist Manager - Compliance Analytics

M&T Bank; New York (NY); Hybrid; USD 150,800 - 251,300; Full time

Job summary

M&T Bank in New York is seeking a senior data science leader to manage and build models that generate insights for business partners and product enhancements.

You will lead a team to develop, test, validate econometric and machine learning models, guide stakeholders, and ensure production deployment and data quality. The environment emphasizes risk controls and collaborative problem solving.

Qualifications

• Bachelor’s degree with minimum 7 years related experience, or 11 years combined higher education and/or work experience including 7 years related experience.
• Minimum 2 years managerial, supervisory and/or work leadership experience.
• Experience with AB testing, sampling, hypothesis testing, and modeling bias.
• Intermediate knowledge of SQL and not only SQL; familiarity with data science tools and languages.

Responsibilities

• Lead and participate in management of large data sets to solve unstructured problems using various analytical approaches.
• Oversee data sourcing, ingestion, cleaning, and productionization with data teams.
• Develop econometric, statistical, and machine learning models for classification, clustering, and simulations.
• Review code for efficiency and production readiness; promote models into production systems.
• Guide and mentor junior data scientists on model development and visualization.
• Present model outputs to business stakeholders and drive data-informed decisions.

Skills

Leadership

Data analysis

Statistical thinking

Stakeholder management

Education

Bachelor’s degree

Master’s or Doctorate in Statistics/Economics/Finance or related field

Tools

SQL

Cloud databases

Statistical software

Job description

** Work Location/Arrangement: This is a hybrid position requiring in-office work four (4) days every week at an M&T office in Buffalo, NY, Bridgeport, CT, Wilmington, DE, Baltimore, MD, Boston, MA, or Metro NYC.

**If the final candidate is not near one of the above referenced locations, there might be a possibility for a remote arrangement.

OVERVIEW:

Manages and builds systems of models to analyze diverse big data sources to generate insights and solutions for business partners and product enhancement. Manages and participates in developing, testing and validating models that drive business value. Assists with identifying and interpreting insights from data. Direct leadership of assigned data science team.

POSITION RESPONSIBILITIES:

• Manage and participate in working with large data sets to solve unstructured problems using different analytical and statistical approaches for a single domain.
• Manage and participate in sourcing, ingesting, and cleaning of data sets in preparation for analysis, work with data teams to productionize and scale data cleanup process. Ensure data is stable, accounting for complex data drift in development and production.
• Manage and participate in the building of econometric, statistical and machine learning models for various problems inclusive of classification, clustering, pattern analysis, sampling, and simulations.
• Manage committing of complex coding into model repository to serve as a source for others and promote complex models into production system.
• Manage and develop champion/challenger models and adjust models accordingly.
• Manage, develop and implement framework for building self-healing models.
• Lead the selection and refinement of models taking into account performance, reliability and stability metrics and business feedback.
• Develop model refinement educational materials and deliver related training for data users.
• Guide less experienced data scientists on model development, selection, refinement, measurements, and visualizations and creating consumable model outputs.
• Create outputs from multiple models for business discussions to display model outcomes, impact and business value.
• Lead stakeholder meetings to discuss concerns, opportunities and production challenges.
• Work with more experienced data scientists to develop new research approaches, provide recommendations on how techniques will be adapted based on client needs, and attend meetings with data clients to understand their research questions.
• Review own and assigned team’s code to ensure it is efficient, accurate, and using best practices.
• Exercise usual authority of a manager concerning staffing, performance appraisals, promotions, salary recommendations, performance management and terminations.
• Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite. 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.
• Complete other related duties as assigned.

SPECIFIC TO POSTING:

• Oversee the development of complex analysis and judgment-based work to support the identification and quantification of compliance risk.
• Utilize a data driven approach to assess the effectiveness of risk controls, identifying exceptions and investigating root cause.
• Produce efficient, automated self-service solutions that empower non-technical stakeholders to derive data-driven insights and conclusions
• Work with business units and compliance groups to ensure consistent understanding of requirements.
• Execute independent assignments within defined timelines with attention to detail and an investigative, quality-first mindset

MANAGERIAL/SUPERVISORY RESPONSIBILITY:

Number of Staff: 6-8

MINIMUM QUALIFICATIONS REQUIRED:

• Bachelor’s degree and a minimum of 7 years related experience, or in lieu of a degree, a combined minimum of 11 years higher education and/ or work experience, including a minimum of 7 years related experience
• Minimum of 2 years managerial, supervisory and/or work leadership experience
• Intermediate experience working with multiple statistics and following data science principles such as AB testing, sample selection, hypothesis testing, and modeling bias
• Intermediate proficiency with pertinent statistical software and languages and tools
• Experience with various hybrid databases both on premise and in the cloud
• Intermediate level knowledge of Structured Query Language (SQL) and Not Only Structured Query Language (nSQL)
• Expert understanding of modeling techniques such as Bayesian modeling, Classification models, Cluster analysis, Neural Network, Non-parametric methods, and Multivariate statistics
• Experience analyzing large data sets

IDEAL QUALIFICATIONS PREFERRED:

• Masters’ of Science or Doctorate degree in Statistics, Economics, Finance or related field in the quantitative social, physical or engineering sciences, with proven coursework proficiency in statistics, econometrics, economics, computer science, finance or risk management
• Fluent in econometric/statistical techniques, including time-series analysis, panel data methods and logistic regression
• Tactical experience with pertinent statistical software and languages and tools

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $150,800.00 - $251,300.00 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation.

Location

New York, New York, United States of America

M&T Bank Corporation is an Equal Opportunity/Affirmative Action Employer, including disabilities and veterans.