Sr. Data Scientist - Hybrid

In this role, you will lead the development, validation, documentation, and implementation of statistical and advanced machine learning models that are used for decisions and product management throughout the member lifecycle, including segmentation, optimization, and prescriptive analytics. Work with internal clients to understand the business needs, propose appropriate quantitative solutions, and develop data-driven recommendations to improve member experience and achieve business objectives. Provide statistical and analytical inputs for the development and implementation of policies and business plans related to loan origination, portfolio management, loss forecasting and portfolio monitoring. Collaborate with cross-functional partners and deliver effective presentations of analysis results and recommendations to multiple levels of leadership and business partners. * This role is not eligible for sponsorship*
Responsibilities

• Solve business problems and support business and risk strategic objectives. Collaborate with various partners to prioritize requests/needs and provide a holistic view of the analysis
• Perform data analytics such as data mining, statistical analysis, and predictive analytics and develop, document, and support the deployment of quantitative models, which are used for decisions and product management through member lifecycle including acquisition, activation, utilization, relationship deepening and retention
• Work on risk analytics projects may include but not be limited to automated credit decisions, risk rating models, pricing models, loan loss forecasting, as well as CECL models and validation
• Acquire and integrate data from multiple data sources for analysis, and perform exploratory to advanced predictive and/or modeling analytics. Identify data relationships such as trends, patterns and correlations to solve business questions and provide actionable recommendations
• Leverage multiple complex data sources such as credit bureau reports, and customer-supplied information at large scale to optimize approval/decline and credit line assignment decisions
• Present data and analysis in a clear and concise manner allowing the internal clients to understand the results and make data-driven decisions
• Work with engineers to deploy models into the production environment. Perform model validation and documentation to ensure is in compliance with internal and regulatory requirements
• Conduct model validations to ensure models are working as intended and proactively seek, build and consolidate new data inputs to improve model performance

Education:

• Graduate Degree Mathematics, Statistics, Quantitative Finance, Engineering, Computer Science or Related

Years of Experience:

• 2 years Data analytics, deploying decisioning models or related

In Lieu of Education:

• 5 years Data analytics, deploying decisioning models or related

You will benefit from:

• Competitive medical, dental, and free vision benefits
• Paid parental leave
• Competitive compensation plan
• Gym memberships discounts
• Generous PTO and banking holidays off
• Tuition reimbursement
• 401k with immediate employer match and vesting

Adhere to and ensure compliance of all business transactions with policy and process of the Bank Secrecy Act. Ensures compliance with all applicable state and federal laws, company procedures and policies. Maintains integrity and ethics in all actions and conversations with or regarding credit union members and their accounts; complies with Privacy Act directives.
The responsibilities listed do not contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this position. Duties, responsibilities and activities may change at any time with or without notice.