Trellance

About Trellance: Trellance is a leading provider of data analytics, business intelligence solutions, professional services, and consulting for credit unions. Founded in 1989, Trellance supports over 1,500 organizations across the United States, helping them uncover actionable insights, improve member experiences, and achieve portfolio growth. Our headquarters is in Tampa, FL. Job Summary: We are seeking a detail-oriented Senior Data Scientist to join our team. The Senior Data Scientist will be responsible for collecting, analyzing, interpreting, and presenting quantitative data to help us deliver exceptional data-driven insights and solutions to our clients. The ideal candidate will have experience in the BFSI industry, strong statistical knowledge, predictive modeling skills, experience with statistical software, and the ability to translate complex data into actionable insights. Key Responsibilities: Machine Learning and Model Optimization Design and implement machine learning models, including supervised and unsupervised algorithms, neural networks, and ensemble methods. Train, validate, and evaluate model performance using appropriate metrics and techniques. Optimize models for scalability, efficiency, and interpretability. Statistical Insights and Communication Interpret statistical findings to provide insights into business performance, market trends, and consumer behavior. Communicate complex statistical concepts and findings to clients in a clear and concise manner. Collaboration and Continuous Improvement Collaborate with cross-functional teams to develop solutions that meet client needs. Stay updated on new statistical methodologies, tools, and technologies. Documentation and Knowledge Management Develop and maintain documentation of statistical methods, analyses, and data sources. Qualifications: Bachelors Degree or Masters degree in Statistics, Mathematics, Data Science, Engineering, or a related field. 3 to 5 years of experience in a statistician, data scientist, or similar role. Good to have experience in the BFSI industry. Experience in statistical analysis , segmentation, hypothesis testing, forecasting, predictive modeling, and machine learning. Serve as a subject matter expert on statistical methodologies and techniques. Good Knowledge of software packages, such as R or Python . Basic knowledge of any visualization tool such as Power BI and Tableau. Experience with machine learning libraries/frameworks, such as TensorFlow, PyTorch, scikit-learn, or Keras. Strong analytical and problem-solving skills, with the ability to think critically and creatively about complex problems. Excellent communication and presentation skills, with the ability to convey technical information to non-technical audiences. Ability to work independently and in a team environment. Good to have experience in deep learning and AI.

Position Name: Data Scientist || Department: Rise Analytics Company Details: Trellance is the leading provider of data analytics and business intelligence solutions, professional services, and consulting for credit unions. The company s solutions and services, together with the patented common data model of its signature M360 product, are used by credit unions to find actionable insights, improve member experience, and achieve portfolio growth. Founded in 1989, Trellance is headquartered in Tampa, Fla. and serves more than 1,500 organizations throughout the United States. Experience Required: 3-6 years Education Qualification BE/ B. Tech, MCA, MSc (Statistics), MBA from Recognized University Job Description We are looking for a Data Scientist to join our Data Science team. Data science drives all the products we develop here at Trellance. Our products are designed for small to mid-size financial institutions to help them create strategies based on data. The team is responsible for working on predictive model use cases and working closely with technical and functional stakeholders in an agile environment. Role & Responsibilities 3-6 years of relevant work experience in the Data Science/Analytics domain Work with the data scientists team, and data engineers. Take ownership of end-to-end data science projects, including problem formulation, data exploration, feature engineering, model development, validation, and deployment, ensuring high-quality deliverables that meet project objectives. Responsible for building analytic systems and predictive models as well as experimenting with new models and techniques. Collaborate with data architects and software engineers to enable deployment of sciences and technologies that will scale across the company s ecosystem. Responsible for the conception, planning, and prioritizing of data projects Provide support to inexperienced analysts with high-level expertise in an open-source language (e.g., R, Python, etc.) Adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Git, GitHub, Markdown) Utilize data visualization tools (Power BI) to deliver insights to stakeholders. Competencies and Technical Skills Degree holder in computer science or related discipline Proficiency in SQL and database querying for data extraction and manipulation. Proficiency in programming languages such as Python/R, and experience with data manipulation and analysis libraries (e.g., NumPy, pandas, scikit-learn). Familiarity with data visualization tools (e.g., Tableau, Power BI) and proficiency in presenting complex data visually. Solid understanding of experimental design, A/B testing, and statistical hypothesis testing. Proven hands-on experience with machine learning algorithms and parameter tuning, including Ensemble methods (Random Forest, XGBoost), Logistic Regression, Support Vector Machines (SVM), and clustering techniques (e.g., K-Means, DBSCAN). Familiarity with Generative AI concepts and AI Agents is a plus. Excellent verbal and written communication skills, with the ability to effectively convey complex concepts to both technical and non-technical stakeholders Experience with Snowflake is not necessary but preferable.

COMPANY OVERVIEW: Trellance is a leading provider of business analytics and technology consulting for credit unions, helping them meet the financial needs of today s digital consumers. With a comprehensive suite of data science solutions, professional staffing, and professional services, the Trellance team ensures credit unions increase efficiency, manage risk, and improve the member experience. As credit unions tech partner, Trellance brings them to the next frontiers of fintech, filled with powerful tools such as artificial intelligence and machine learning. Data In. Insights out. Learn more at Trellance.com . Job Title: Salesforce Developer & Administrator Experience: 5+ Years Location: Bangalore Position: Full Time Position Overview We are seeking an experienced Salesforce Developer with System Administration knowledge. Key Responsibilities System Administration Manage user accounts, profiles, roles, and permissions Resolve customer portal login errors and user access issues Monitor and maintain system health and performance Handle support tickets and provide technical support to end users Troubleshoot data and application integration issues Manage Salesforce backup processes Maintain desktop add-ins such as LinkPoint and Excel integrations. Handle annual SSL certificate renewals Development Maintain and enhance existing Apex applications Maintain and enhance existing data integration feeds Maintain and enhance existing automations Process Builder and Flow Update and migrate applications and automations to maintain compliance with supported product and technology versions Governance, Compliance & Updates Deploy developer Change Sets to production environment Stay current with Salesforce functionality retirement and update requirements Implement necessary changes to maintain platform compliance Perform quarterly data recovery testing using sample records to validate backup integrity Conduct quarterly audit log reviews for compliance Document system changes and maintain configuration records Support regulatory audit requirements and processes Qualifications Required Experience with change set deployments and release management Expertise with Apex development and troubleshooting Familiarity with Office Open XML for report generation. Used in existing Apex applications. Expertise with Salesforce automation options (Flow, Orchestration, Process Builder) Understanding of SSL certificate management Proficiency with backup and recovery processes Experience with audit log analysis and compliance reporting Experience with desktop add-ins (Excel, LinkPoint, Outlook integration) Preferred Familiarity with data integration tools (SFTP, SQL, Informatica) Experience with email systems and relay configurations Knowledge of M365 email administration Familiarity with backup solutions like OwnBackup Experience with compliance frameworks and audit processes Salesforce certifications

COMPANY OVERVIEW: Trellance is a leading provider of business analytics and technology consulting for credit unions, helping them meet the financial needs of today s digital consumers. With a comprehensive suite of data science solutions, professional staffing, and professional services, the Trellance team ensures credit unions increase efficiency, manage risk, and improve the member experience. As credit unions tech partner, Trellance brings them to the next frontiers of fintech, filled with powerful tools such as artificial intelligence and machine learning. Data In. Insights out. Learn more at Trellance.com . What are we looking for? (Minimum Qualifications) Overall, 4 years and a minimum of 2 years of experience in technical support, customer experience, and troubleshooting. Strong command over SQL with the ability to write complex queries for data extraction, manipulation, and performance tuning. Skilled in using CTEs, window functions, subqueries, aggregation techniques, and optimization practices to support analytical workloads and reporting solutions. Hands-on experience working with Snowflake for data storage, processing, and analytics. Proficient in using Snowflakes SQL dialect, virtual warehouses, time travel, and cloning features. Proficiency in Power BI with a strong understanding of its core components for data analysis and visualization. Excellent verbal and written communication skills in English. Ability to work both independently and as part of a team. Preferred Skills: Familiarity with the Banking domain is advantageous. Previous experience dealing with support cases or requests via e-mail or any ticketing tool. Fundamentals of Data Build Tool (DBT) and Python programming language. Certification in Azure, Snowflake, or Power BI. Flexible to work in shift or occasional weekend work. Roles and Responsibilities: Working with functional and technical teams that are both India and US based. Provide daily support with a resolution for support cases and act as a liaison to business and technical leads to ensure issues are resolved in a timely manner. Providing a high level of service to our customers and adhering to our strict SLAs for response times Problem determination, workaround resolution, root cause analysis, and major incident management. Suggest fixes to complex issues by doing a thorough analysis of the root cause and impact of the defect. Administration of multiple instances of Microsoft SQL Server which includes backup management, monitoring, and troubleshooting of SQL-related job failures, and creation of custom SQL views and procedures. Developing and attending training for self-improvement to assist and share knowledge with the team.

Provide leadership and management of the Trellance Office Systems Administrator and Desktop Support personnel in India. Support and oversee day-to-day Systems Administration, including Office 365, Mobile Device Management (Intune), ManageEngine Endpoint Central, CrowdStrike, Netskope, and Cisco Meraki. Support and oversee administration for the management of Active Directory and Entra environments. Review and approve the installation, configurations, testing and maintenance for on-premises operating systems, application software and system management and monitoring tools. Provide Tier 3 Desktop and Trellance end-user partner support. Provide Tier 3 Remote User access systems Beyond Trust, VDI, Windows 365 and VPN s. Maintain and support Payment Card Industry Data Security Standards (PCI DSS) throughout the enterprise. Maintain and support AICPA Service Organization Controls (SOC-1 and SOC-2) throughout the enterprise. Ensure current Office network documentation including flowcharts, network diagrams, hardware and software inventories are maintained and reviewed at least annually. Ensure 3rd Party OS patches at established intervals. Support PC/Server/LAN resources according to corporate established Service Level Agreements. Manage Cisco Meraki network Infrastructure. Monitor, control and secure network resources. Manage and maintain SaaS based applications. Manage Microsoft Azure and AWS with knowledge on cloud networks and site to site connections. Proactively ensure the highest levels of systems and infrastructure availability. Maintain job knowledge by participating in educational opportunities and reading professional publications/websites. Update, create and maintain KB articles in the service desk. Collaborate with and support Cloud Engineers, Application developers on PC/Server/LAN hardware and software implementations. Manage and maintain software licenses and copyright agreements, updates, revisions and service/maintenance arrangements. Liaise with hardware vendors for problem resolution. Manage projects to meet deadline and budgeting constraints. Perform other duties as assigned.

Company Detail CU Rise Analytics is a Virginia based CUSO with global operations that was started with the sole mission of helping credit unions better understand, serve and support their members in the most effective & efficient manner. CU Rise s service offering centers around bringing Data Science and forward-looking Data Technologies to our clients. Our core competencies are Data Analytics, Predictive Modelling, Business Intelligence & Technology services. We are the only Pure-play analytics company focused on brining this expertise to credit unions. Trellance is a leading provider of business analytics and technology consulting for credit unions, helping them meet the financial needs of today s digital consumer. With a comprehensive suite of data science solutions, professional staffing and professional services, the Trellance team ensures credit unions increase efficiency, manage risk, and improve member experience. As credit unions tech partner, Trellance brings them to the next frontiers of fintech, filled with powerful tools such as artificial intelligence and machine learning. Data In. Insights out. Learn more at Trellance.com Experience Required: 5+ years Job Description: We re seeking an experienced Senior Frontend Developer to join our team. In this role, you ll create responsive, accessible, and high-performance web applications that follow our established frontend standards. You ll work primarily with React and Next.js to build component-based applications that deliver exceptional user experiences while adhering to our organizational development principles. Responsibilities: Design and develop responsive, accessible frontend applications using React and Next.js Implement frontend architecture following our established component-based design patterns Write clean, maintainable, and well-documented TypeScript code Create reusable UI components following our Component Library Standards Ensure all code meets our accessibility, performance, and security standards Implement proper state management strategies based on application requirements Write comprehensive tests for components, hooks, and utilities Collaborate with designers to ensure precise implementation of UI/UX designs Participate in code reviews to maintain code quality and standards compliance Contribute to the continuous improvement of our frontend standards Stay current with frontend development best practices and emerging technologies Skills & Qualifications: Must-Have: 5 + years of professional experience in frontend development Strong proficiency with React and TypeScript Experience with Next.js, particularly with the App Router architecture Solid understanding of modern HTML, CSS, and JavaScript Experience with component-based architecture and design systems Knowledge of responsive design and CSS frameworks (preferably Tailwind CSS) Experience implementing accessibility standards (WCAG 2.1 AA) Proficiency with frontend testing methodologies and tools Experience with version control systems (Git) Strong problem-solving skills and attention to detail Preferred Qualifications: Experience with state management solutions (React Query, Zustand, Context API) Familiarity with CSS methodologies (BEM, CSS Modules) Experience with Storybook for component documentation Knowledge of frontend performance optimization techniques Understanding of CI/CD pipelines and automated testing Experience with frontend security best practices Familiarity with design tools like Figma or Adobe XD Contributions to open-source projects or component libraries Required Skills HTML CSS React

Company Detail CU Rise Analytics is a Virginia based CUSO with global operations that was started with the sole mission of helping credit unions better understand, serve and support their members in the most effective & efficient manner. CU Rise s service offering centers around bringing Data Science and forward-looking Data Technologies to our clients. Our core competencies are Data Analytics, Predictive Modelling, Business Intelligence & Technology services. We are the only Pure-play analytics company focused on brining this expertise to credit unions. Trellance is a leading provider of business analytics and technology consulting for credit unions, helping them meet the financial needs of today s digital consumer. With a comprehensive suite of data science solutions, professional staffing and professional services, the Trellance team ensures credit unions increase efficiency, manage risk, and improve member experience. As credit unions tech partner, Trellance brings them to the next frontiers of fintech, filled with powerful tools such as artificial intelligence and machine learning. Data In. Insights out. Learn more at Trellance.com Experience Required: 6 to 8 years Job Description: We are seeking skilled Data Engineers with expertise in Snowflake to join our team. As a Data Engineer, you will be critical in our client s migration from on-premises systems to Snowflake, a cloud-based data platform. You will be responsible for building robust and efficient data pipelines, transforming raw data, and ensuring smooth data consumption. Responsibilities: Collaborate with cross-functional teams to understand data requirements and design performant, efficient, and secure data pipelines from the landing zone to the consumption level in Snowflake. Utilize native Snowflake capabilities to implement data transformations, aggregations, and enrichments to meet business needs. Develop and maintain data ingestion processes from on-premises sources to the landing zone, ensuring data integrity and accuracy throughout the pipeline. Work closely with the architecture team to ensure seamless integration of data sources, leveraging Snowflakes features and functionalities. Optimize data pipelines for performance, scalability, and reliability, implementing best practices and monitoring mechanisms. Collaborate with data analysts and other stakeholders to understand data consumption requirements and provide solutions for efficient data retrieval. Ensure compliance with data governance policies and industry standards throughout the data engineering process. Continuously stay updated with the latest advancements in Snowflake and data engineering techniques, sharing knowledge and insights with the team. Skills & Qualifications: Must-Have: Bachelor s degree in computer science, Engineering, or a related field (or equivalent practical experience). Proven experience as a Data Engineer with a focus on Snowflake, including hands-on experience in building end-to-end data pipelines. Strong understanding of Snowflake architecture, data warehousing concepts, and ETL/ELT methodologies. Proficiency in SQL for data manipulation and transformation within Snowflake. Expertise and experience using Snowflake procedures, functions, streams, tasks, external stages, and external tables. Expertise and experience using blob and data lake storage (AWS/Azure). Expertise and experience using Snowpipe. Experience with data integration and ingestion tools, such as Fivetran, AWS Glue, Azure Data Factory, or dbt. Familiarity with cloud platforms (e.g., AWS, Azure) and their data services. Solid understanding of data modeling principles and ability to design efficient data structures within Snowflake. Strong problem-solving skills and ability to analyze complex data requirements to develop effective solutions. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Proactive and self-motivated with a passion for data engineering and delivering high-quality solutions. Preferred Qualifications: Snowflake certification(s) in Data Engineering or related areas. Experience integrating external systems and services with Snowflake. Experience with Snowpark, especially with Python. Experience with version control systems (e.g., Git) and CI/CD pipelines. Knowledge of Python or other scripting languages for data processing and automation. Expertise in Banking Data/Domain. Familiarity with data governance frameworks and practices. Experience with data visualization tools (e.g., Tableau, Power BI) for reporting and analytics.

Company Detail CU Rise Analytics is a Virginia based CUSO with global operations that was started with the sole mission of helping credit unions better understand, serve and support their members in the most effective & efficient manner. CU Rise s service offering centers around bringing Data Science and forward-looking Data Technologies to our clients. Our core competencies are Data Analytics, Predictive Modelling, Business Intelligence & Technology services. We are the only Pure-play analytics company focused on brining this expertise to credit unions. Trellance is a leading provider of business analytics and technology consulting for credit unions, helping them meet the financial needs of today s digital consumer. With a comprehensive suite of data science solutions, professional staffing and professional services, the Trellance team ensures credit unions increase efficiency, manage risk, and improve member experience. As credit unions tech partner, Trellance brings them to the next frontiers of fintech, filled with powerful tools such as artificial intelligence and machine learning. Data In. Insights out. Learn more at Trellance.com Experience Required: 3 to 5 years Job Description: We are seeking skilled Data Engineers with expertise in Snowflake to join our team. As a Data Engineer, you will be critical in our client s migration from on-premises systems to Snowflake, a cloud-based data platform. You will be responsible for building robust and efficient data pipelines, transforming raw data, and ensuring smooth data consumption. Responsibilities: Collaborate with cross-functional teams to understand data requirements and design performant, efficient, and secure data pipelines from the landing zone to the consumption level in Snowflake. Utilize native Snowflake capabilities to implement data transformations, aggregations, and enrichments to meet business needs. Develop and maintain data ingestion processes from on-premises sources to the landing zone, ensuring data integrity and accuracy throughout the pipeline. Work closely with the architecture team to ensure seamless integration of data sources, leveraging Snowflakes features and functionalities. Optimize data pipelines for performance, scalability, and reliability, implementing best practices and monitoring mechanisms. Collaborate with data analysts and other stakeholders to understand data consumption requirements and provide solutions for efficient data retrieval. Ensure compliance with data governance policies and industry standards throughout the data engineering process. Continuously stay updated with the latest advancements in Snowflake and data engineering techniques, sharing knowledge and insights with the team. Skills & Qualifications: Must-Have: Bachelor s degree in computer science, Engineering, or a related field (or equivalent practical experience). Proven experience as a Data Engineer with a focus on Snowflake, including hands-on experience in building end-to-end data pipelines. Strong understanding of Snowflake architecture, data warehousing concepts, and ETL/ELT methodologies. Proficiency in SQL for data manipulation and transformation within Snowflake. Expertise and experience using Snowflake procedures, functions, streams, tasks, external stages, and external tables. Expertise and experience using blob and data lake storage (AWS/Azure). Expertise and experience using Snowpipe. Experience with data integration and ingestion tools, such as Fivetran, AWS Glue, Azure Data Factory, or dbt. Familiarity with cloud platforms (e.g., AWS, Azure) and their data services. Solid understanding of data modeling principles and ability to design efficient data structures within Snowflake. Strong problem-solving skills and ability to analyze complex data requirements to develop effective solutions. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Proactive and self-motivated with a passion for data engineering and delivering high-quality solutions. Preferred Qualifications: Snowflake certification(s) in Data Engineering or related areas. Experience integrating external systems and services with Snowflake. Experience with Snowpark, especially with Python. Experience with version control systems (e.g., Git) and CI/CD pipelines. Knowledge of Python or other scripting languages for data processing and automation. Expertise in Banking Data/Domain. Familiarity with data governance frameworks and practices. Experience with data visualization tools (e.g., Tableau, Power BI) for reporting and analytics.