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Central Pacific Bank · 7 hours ago

Lead Data Scientist

Honolulu, HI

Full-time

Onsite

Senior Level, Lead/Staff

$98K/yr - $134K/yr

7+ years exp

Central Pacific Bank is seeking a Lead Data Scientist to perform statistical analysis and data mining to address business problems and optimize performance. This role will lead advanced analytical initiatives and manage a team while ensuring compliance with regulatory expectations and enhancing the Bank's analytics capabilities.

BankingFinancial Services

H1B Sponsor Likely

Responsibilities

Performing Analytics: Responsible for completing analytical work using a range of tools and methodologies some of which might be proprietary to the organization including:

Draw conclusions and effectively influence business strategies

Perform statistical analysis to understand and work around possible limitations in models

Develop hypotheses and test them with careful experiments

Provide support as required for data-driven decision-making

Lead: Designs, develops, and deploys predictive models, statistical analyses, risk scorecards, and machine learning solutions to support credit and risk strategies (e.g., RAROC, pricing, loss forecasting, early warning, portfolio monitoring). Also performs model validations or model validation assessments

Performs complex data mining using large internal and external datasets, identifying trends and opportunities to improve portfolio performance and operational efficiency

Leads and manages a team of BI analysts, and/or credit analysts—including prioritization, development, mentoring, code reviews, performance management, and technical coaching

Conducts hypothesis testing and experimental design to validate risk strategies and proposed business solutions

Ensures analytical outputs are accurate, repeatable, and aligned with business needs; translates results into actionable insights for senior leaders and risk partners

Partners with Enterprise Risk, Credit Administration, and key product areas to support model monitoring, governance, documentation, and regulatory expectations

Managing/Leading Stakeholder Communications

Develop communication plans to actively engage key stakeholders groups

Partner with business sponsors to determine needs and wants

Lead: Serves as the subject matter expert (SME) for predictive analytics, credit risk modeling, BI dashboards, and data driven insights

Translates complex technical concepts into clear, business aligned recommendations for executives and functional leaders

Develops communication and engagement plans for project sponsors, risk committees, auditors, and cross-functional partners

Facilitates collaborative solutioning across credit, risk, operations, finance, compliance, and technology organizations

Data Quality, Security, Reporting, & Governance

Support efforts to source, scrub, and join data from public, commercial & proprietary sources

Develop approach to data quality to increase the bar on the soundness of our data

Ensure compliance with bank policies for how data is used and manipulated in the business

Identify data integrity issues and work with Data Quality Validation unit to correct issues

Lead: Oversees team practices for sourcing, validating, cleansing, and joining data from numerous internal and external systems

Troubleshoots data quality issues, partnering with Enterprise Data to remediate root causes

Ensures BI dashboards and credit/risk reporting adhere to consistent standards, controls, and governance practices

Maintains compliance with data security policies, model governance, and regulatory requirements (including credit and consumer regulatory expectations)

Enterprise Analytics & BI Consolidation Strategy

Leads the Bank’s analytics consolidation efforts by defining unified analytic standards, solutions, processes, and data environments across credit, risk, operations, and consumer/commercial lines of business

Evaluates the existing data and BI landscape, identifying opportunities to centralize tools, rationalize reports, eliminate redundant processes, and streamline data pipelines

Defines the technical architecture for advanced analytics and business intelligence, recommending modern platforms, tools, and automation approaches

Identifies and integrates diverse data sources—including credit bureau data, economic indicators, operational data, and risk datasets—to strengthen predictive and monitoring capabilities

Partners closely with Technology, Enterprise Data, and Information Security to operationalize analytics, improve data governance, and ensure sustainable, compliant workflows

Monitors emerging analytics technologies, regulatory trends, and modeling best practices to drive innovation in credit and risk analytics

Qualification

Predictive modelingStatistical analysisData miningMachine learningRisk managementData governanceBusiness intelligenceTeam managementEffective communicationActive listeningProblem solving

Required

High School Diploma or GED equivalency required

Bachelor's Degree from an accredited 4-year university in advanced financial engineering, statistics, applied mathematics, econometrics, data science, or quantitative discipline required

7+ years of experience in financial engineering, statistics, applied mathematics, econometrics, data science, or quantitative discipline required

4+ years of Management experience, including people required

Must be able to perform light physical work and to move or lift items including but not limited to boxes, files and papers up to 20 pounds unless otherwise as indicated

Must be able to operate and proficiently use standard office equipment, including phone, copier, personal computer and/or other work related mechanical or electronic devices and applications

Must be able to clearly communicate verbally and in writing with all internal and external customers

Must also be able to hear sufficiently to engage in daily discussions and interactions

Must be able to read and understand bank-related documents

Must be able to work in a conventional office setting, involving sitting at a desk or workstation for long periods of time

Must also be able to adapt to different work environments as needed to perform the job

Preferred

Master's Degree or PhD in quantitative discipline preferred

1+ years of banking industry experience preferred

Company

Central Pacific Bank

Central Pacific Bank is a financial service company that provides banking products and services.

Founded in 1954

Honolulu, Hawaii, USA

501-1000 employees

https://www.cpb.bank

H1B Sponsorship

Central Pacific Bank has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (2)

2023 (2)

2022 (1)

2020 (3)