Build scalable data products, cloud-native data pipelines, and modern data platforms that support thousands of stores and millions of customer interactions.
Responsibilities
Design, develop, and support scalable data pipelines and data integration solutions.
Build data engineering solutions using Python, SQL, PySpark, and modern cloud technologies.
Develop and maintain trusted data products that enable analytics, reporting, operational intelligence, and AI use cases.
Contribute to enterprise data platforms built on Databricks, Apache Spark, and Lakehouse architectures.
Implement data quality, monitoring, testing, and observability capabilities to improve data reliability.
Requirements
Bachelor's or Master's degree in Computer Science, Data Science, Computer Engineering, Software Engineering, Information Systems, Mathematics, Statistics, or a related technical field.
Nice to have: Hands-on experience through coursework, internships, research, personal projects, or open-source contributions.
Nice to have: Familiarity with cloud platforms such as Azure, AWS, or Google Cloud Platform.
Nice to have: Exposure to Databricks, Apache Spark, Delta Lake, Airflow, dbt, Snowflake, or related technologies.
Nice to have: Experience using Git and modern software development tools.
Lead and architect advanced analytics and machine learning solutions within the Microsoft cloud ecosystem to support strategic decisions in regulated healthcare environments.
Compensation
This role is compensated through a fixed annual salary. The expected salary range for this position is $170,000.00 – $180,000.00 annually, based on role scope, experience, and market considerations.
Responsibilities
Architect, design, and deploy advanced statistical, predictive, and machine learning solutions that support enterprise‑level decision‑making across healthcare, operations, finance, and customer/member domains.
Own end‑to‑end analytical solution lifecycle, including data discovery, feature engineering, modeling, validation, performance monitoring, retraining strategy, and retirement planning.
Serve as a technical authority on model explainability, fairness, robustness, and regulatory defensibility.
Design analytics solutions natively within the Microsoft cloud analytics stack, ensuring alignment to enterprise data architecture and governance standards.
Partner closely with executive stakeholders, data engineering leaders, and platform owners to translate complex business questions into high‑impact, production‑ready analytics.
Requirements
Master's degree in data science, statistics, mathematics, computer science, engineering, or related field
Principal‑level data scientist responsible for architecting, delivering, and governing enterprise‑grade advanced analytics and machine learning solutions in regulated healthcare environments.
Compensation
This role is compensated through a fixed annual salary. The expected salary range for this position is $170,000.00 – $180,000.00 annually, based on role scope, experience, and market considerations. This position is not eligible for bonus or incentive compensation.
Responsibilities
Architect, design, and deploy advanced statistical, predictive, and machine learning solutions that support enterprise‑level decision‑making across healthcare, operations, finance, and customer/member domains.
Own end‑to‑end analytical solution lifecycle, including data discovery, feature engineering, modeling, validation, performance monitoring, retraining strategy, and retirement planning.
Serve as a technical authority on model explainability, fairness, robustness, and regulatory defensibility.
Design analytics solutions natively within the Microsoft cloud analytics stack.
Partner closely with executive stakeholders, data engineering leaders, and platform owners to translate complex business questions into high‑impact, production‑ready analytics.
Requirements
Master's degree in data science, statistics, mathematics, computer science, engineering, or related field
The role will provide exposure to client execution, OTC derivative hedging, risk management, market analysis, inventory optimization, and collaboration with global trading and support teams.
Responsibilities
Support client-driven trading activities across APAC markets and assist with OTC derivative hedging during APAC trading hours.
Provide timely and accurate execution support to onshore and global hedge funds, institutional investors, and high-net-worth clients.
Monitor automated and algorithmic trading strategies, helping to ensure effective execution, appropriate risk controls, and accurate trade capture.
Assist with the management of market, liquidity, counterparty, and operational risks within established risk limits.
Support the development and enhancement of systematic tools for transaction analysis, trade monitoring, inventory management, and performance attribution.
Requirements
Bachelor’s degree and above in Finance, Economics, Mathematics, Statistics, Computer Science, Engineering, or a related discipline
Oversee, design, review, build, and deploy test automation solutions and framework for the most complex, interrelated systems to ensure the quality and stability of software applications
Responsibilities
Oversee, design, review, build, and deploy test automation solutions and framework for the most complex, interrelated systems to ensure the quality and stability of software applications
Lead the troubleshooting and triage of the most complex escalated system issues with project teams to identify the root causes, resolve issues, and implement process improvements
Guide and mentor other Test Automation Engineers to ensure that their test automation solutions and scripts align with Frost’s automation framework and industry standards
Collaborate with product management, project management, development teams, and business stakeholders to develop project, product, and testing objectives
Write and execute functional test cases as needed
Requirements
Bachelor’s degree in a technical field or equivalent experience
A Senior Commercial Analytics & Reporting Analyst to connect insights across Personal Loans and Auto Lending, combining technical expertise with commercial thinking to help leaders understand performance and act on opportunities.
Responsibilities
Use SQL and business intelligence tools to bring complex datasets together and develop dashboards that reveal performance, trends, risks and opportunities.
Analyze lending journeys and customer segments to identify opportunities across acquisition, activation, retention and cross-sell.
Partner with Marketing on audience selection, campaign setup, deployment and reporting through Salesforce Marketing Cloud.
Develop measurement frameworks and track benefits across strategic initiatives, product changes and campaigns.
Present clear recommendations to senior stakeholders and follow through to help turn insights into measurable outcomes.
Senior IT Analyst responsible for supporting futures trading, connectivity, wealth management, and self-clearing initiatives, involving project management, vendor coordination, and technical system support.
Responsibilities
Work on new business initiatives such as Futures trading & connectivity, Wealth management, Self clearing.
Closely work with business stakeholders, global IT, vendors on project management BRD(Business documents), tasks, tracking, setup of systems and related support.
Work with external parties and vendors for new products connectivity, Telecoms, NRI(Nomura), JPX(Japan exchange group), PTS venues, Jasdec, JSCC(Japan Securities Clearing Corporation) for connectivity, migration, and queries.
Experience about Tokyo stock exchange trading, Future, Derivatives rules, regulations, and arrowhead connectivity setup.
Support upgrades and migrations for exchange connectivity.
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