Data Scientist

Role Overview

The Data Scientist will analyze transaction, settlement, and reconciliation data to identify discrepancies, trends, root causes, risks, and opportunities for operational improvement. This role supports reconciliation and settlement operations through advanced analytics, reporting, data preparation, visualization, and insight generation.

What You Will Do

Analyze transaction, settlement, and reconciliation datasets to identify discrepancies, trends, anomalies, and operational risks. Collaborate with clients, vendors, and internal stakeholders to understand business objectives, operational challenges, and reporting requirements.

Why It Might Be a Fit

The ideal candidate combines strong analytical capabilities with reconciliation and financial operations knowledge and has the ability to transform complex transactional data into meaningful business recommendations that improve operational performance, reduce financial losses, and enhance the client experience.

Requirements

• Bachelor’s degree in Data Science, Statistics, Mathematics, Finance, Accounting, or a related quantitative field, or equivalent experience.
• Experience analyzing large transactional, financial, operational, or reconciliation datasets.
• Strong analytical, critical-thinking, and problem-solving skills.
• Experience applying statistical methods and data-driven analysis to business problems.
• Advanced Microsoft Excel skills, including PivotTables, XLOOKUP/VLOOKUP, formulas, and data analysis techniques.
• Strong SQL skills with the ability to retrieve, join, validate, and analyze data from multiple data sources.
• Experience developing dashboards, visualizations, and business intelligence reporting.
• Ability to identify trends, anomalies, patterns, and root causes within complex datasets.
• Experience preparing, cleansing, validating, and transforming data for analysis and reporting.
• Ability to leverage critical data-driven thinking and translate data into actionable insights and recommendations.
• Experience evaluating financial impacts, operational risks, and performance metrics.
• Strong verbal and written communication skills with the ability to present complex findings to business and technical audiences.
• Experience working directly with clients, vendors, and cross-functional stakeholders.
• Strong stakeholder management and relationship-building capabilities.
• Experience facilitating discussions, driving issue resolution, and influencing decisions across multiple organizations.
• Root cause analysis and investigative research expertise.
• Knowledge of reconciliation, settlement operations, financial transactions, payments, or related business processes.
• Experience with process improvement, operational analytics, and performance measurement.
• Ability to balance analytical rigor with practical business needs and operational realities.
• Attention to detail and time management skills with the ability to deliver high-quality work across multiple priorities and deadlines.
• Experience documenting analytical findings, methodologies, processes, and business recommendations.
• Familiarity with Power BI, Tableau, Python, R, or similar analytical tools preferred.
• Interest in leveraging artificial intelligence and automation technologies to improve operational processes and decision-making.

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• 401(k) or other retirement plan
• Paid time off
• Paid holidays
• Life insurance
• Disability insurance

Tagged as: Data Analysis, Excel, Power BI, Python, SQL