About The Role InvestCloud is looking for a bright individual seeking to expand his/her knowledge and expertise in Automation Engineering to join our Quality Assurance team. This role is ideal for a self-starter who is highly motivated to play a crucial role in the delivery of innovative financial products by implementing automated tests to improve delivery efficiency without compromising on quality. The Automation Engineer role is an exciting opportunity that has great career growth potential in a growing and fast-paced global financial technology firm that provides solutions to the financial services sector, specifically covering the full spectrum of Wealth and Asset Management businesses. About our Business: InvestCloud is driven by a single purpose: to build the future of wealth technology. We partner closely with our clients to deliver solutions that are relevant to their needs, today and tomorrow. Our team members’ unique perspectives, informed by both deep industry expertise and a broader view of the fintech space, inspires us to stay ahead of change and push the boundaries of what is expected in wealth and asset management. As an industry leader for over three decades, we are proud of our heritage and our culture of openness and inclusivity, values that guide the way we work with one another and with our clients. The foundation of all that we do lies in our proven, flexible technology, which grows with our clients as their needs change, to transform the way people interact with, manage, and grow their wealth. What does a great Automation Engineer do? A great Automation Engineer plays a pivotal role in building robust, reliable, and scalable software systems that drive innovation and meet the unique challenges of the financial technology industry. They provide automated test scripts to improve efficiency in delivery by automating repetitive tasks, enabling faster releases without compromising quality. The Automation Engineer is responsible for: Implementing automated test cases using tools like SpecFlow and Mabl. Integrating automated tests into CI/CD pipelines for continuous quality validation. Providing test automation support for cross-browser and cross-device compatibility to ensure a consistent experience across platforms. Collaborating on integrating new tools or functionality into existing frameworks. Working with developers to resolve issues. Driving continuous Improvement as an advocate for tools, processes, and methodologies that enhance quality practices. Remaining updated with emerging trends in fintech, such as AI-driven testing or blockchain validation. Aiding to maintain a knowledge base of common issues and best practices for future reference. Providing guidance to junior team members. Basic Qualifications for Consideration: Bachelor’s degree in Computer Science, Computer Engineering, or in a relevant subject from a recognized school. 2+ years of experience in automated testing. Experience with automation tools such as Mabl. Ability to adapt to new tools, technologies, and workflows as the fintech industry evolves. Proficient understanding of code versioning tools such as Git / SVN. Good hands-on working knowledge of test script development. Excellent communication skills, both verbal and written. Strong analytical and problem-solving skills. Effective collaboration abilities to work with cross-functional teams, including engineers, product architects, product owners and non-technical audiences. Experience working with international and remote teams. Experience with JIRA for defect tracking and collaborating on requirements. Comfortable working in a fast-paced, Agile environment with shifting priorities. Show more Show less

Key Responsibilities: Cash & Bank Reconciliation: Assist in daily cash reconciliations and ensure proper recording of transactions. Monitor bank accounts and process bank reconciliations. Support in tracking outstanding balances and ensuring timely resolution of discrepancies. Fixed Asset Accounting: Maintain and update the fixed asset register. Assist in capitalizing assets, recording depreciation, and reconciling fixed asset accounts. Ensure compliance with accounting standards and company policies related to fixed assets. Accounts Payable (AP): Process vendor invoices, ensuring accuracy and proper approvals. Assist in AP reconciliations and resolving discrepancies with vendors. Ensure timely payment processing and adherence to company payment policies. General Accounting & Support Tasks: Assist with month-end close activities, including journal entries and reconciliations. Maintain accurate financial records and documentation. Support internal and external audit requirements by providing necessary reports and documentation. Collaborate with the finance team to improve processes and ensure compliance with internal controls. Qualifications & Skills: Education: Bachelor’s degree in Accounting, Finance, or a related field. Experience: 1-3 years of accounting experience in cash, AP, fixed assets, or general ledger functions. Technical Skills: Proficiency in Microsoft Excel and accounting software (SAP, NetSuite, Oracle, or similar ERP systems preferred). Knowledge: Basic understanding of IFRS/GAAP and financial reporting standards. Soft Skills: Strong attention to detail, ability to multitask, and good communication skills. Language: Proficiency in English (spoken and written) is required. Show more Show less

You will be joining the newly formed AI, Data & Analytics team as a Software Engineer. The team's primary focus is to drive increased value from the data InvestCloud captures for a smarter financial future, particularly emphasizing enhanced intelligence. Your role will involve working on various projects within the AI Enablement team, ensuring the development of fit-for-purpose modern capabilities to meet the team's key goals. As a Software Engineer with a keen interest in Data Science, Machine Learning, and Generative AI models, you are expected to have a proven track record in delivering business impact and client satisfaction. Your responsibilities will include building efficient and scalable platforms for ML and AI models in production, integrating AI and ML solutions into the InvestCloud product suite, and collaborating with both local and global teams. You may also engage in building products as needed. Key Responsibilities: - Developing and maintaining robust APIs, microservices, and data pipelines supporting data science and AI workloads. - Designing and implementing efficient database schemas and data storage solutions. - Building and optimizing ETL processes for data ingestion, transformation, and delivery. - Creating scalable infrastructure for model training, evaluation, and deployment. - Collaborating with data scientists to implement and productionize machine learning models. - Ensuring high performance, reliability, and security of backend systems. - Participating in code reviews, contributing to engineering best practices, and troubleshooting complex technical issues. - Writing clean, maintainable, and well-documented code. Required Skills: - Bachelor's degree in Computer Science, Engineering, or related field. - 5+ years of experience in backend development. - Strong proficiency in Python and Java; working proficiency in JavaScript. - Experience with RESTful API design and implementation, modern API frameworks, and database systems (both SQL and NoSQL). - Experience with containerization using Docker, cloud platforms (AWS, Azure, or GCP), version control systems (Git), CI/CD pipelines, and DevOps practices. - Experience coding with an AI Assistant and mentoring junior engineers. Preferred Skills: - Working experience with Jakarta EE, FastAPI, and Angular. - Experience working with Snowflake and/or Databricks. What Do We Offer: Join a diverse and international cross-functional team including data scientists, product managers, business analysts, and software engineers. As a key member, you will implement cutting-edge technology to enhance the advisor and client experience. Location and Travel: The ideal candidate will be expected to work from the office. Compensation: The salary range will be determined based on experience, skills, and geographic location. Equal Opportunity Employer: InvestCloud is committed to fostering an inclusive workplace and welcomes applicants from all backgrounds.,

About InvestCloud InvestCloud is at the forefront of wealth technology, offering innovative solutions that redefine how the financial services industry operates. With a global presence and a client-first approach, we specialize in digital transformations powered by our flexible, modular technology. About The Team You will be joining the newly formed global AI, Data & Analytics team, as the lead Data Scientist in our India office. Your primary responsibility will be as a hands-on Data Scientist leading various projects. You will lead a small team locally and will operate as part of the global team. The new team is focused on driving increased value from the data InvestCloud captures to enable a smarter financial future for our clients, in particular focused on “enhanced intelligence”. Ensuring we have fit-for-purpose modern capabilities is a key goal for the team. We are seeking a Senior Data Scientist / Machine Learning Engineer with a strong background in Data Science, Machine Learning, and Generative AI models. The ideal candidate should have a proven track record in delivering business impact and delighting clients by developing and deploying ML and AI models in production, along with excellent problem-solving skills. In this role, you will integrate AI and ML solutions into the InvestCloud product suite. Some management experience is beneficial, but success in this role will primarily come from your data science delivery. Key Responsibilities Implement applications powered by Generative AI and Machine Learning models and deploy them in production Develop and maintain datasets and data pipelines to support Machine Learning model training and deployment Interpret results from Machine Learning models and communicate findings to both technical and non-technical stakeholders Stay updated with the latest advancements in Machine Learning, natural language processing, and generative AI. Analyze large datasets to identify patterns, trends, and insights that can inform business decisions. Work with 3rd party providers of AI products to evaluate and implement solutions achieving Investcloud’s business objectives. Lead a small team of data scientists in India Required Skills MSc degree in Mathematics, Statistics, Computer Science, Data Science, Machine Learning, or a related technical field or equivalent practical experience At least four years of professional experience in Data Science, Machine Learning and AI Outstanding communications skills in English High proficiency in programming in Python Knowledge of Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn) and LLM frameworks (e.g. Langchain) Knowledge of data preprocessing, feature engineering, and model evaluation metrics Experience using large language models, generative AI and agentic frameworks Experience in database technologies (Oracle, PostgreSQL) Experience working with Snowflake and/or Databricks or similar tools Working experience developing and deploying Machine Learning models in production Working experience with Git and Docker Ability to work in a fast-paced environment across multiple projects simultaneously Ability to collaborate effectively as a team player, fostering a culture of open communication and mutual respect. Practical, get-things done mentality within our controls environment. Preferred Skills Working experience with Vector Database Technologies Experience with cloud platforms such as AWS, GCP, or Azure What Do We Offer Join our diverse and international cross-functional team, comprising data scientists, product managers, business analyst and software engineers. As a key member of our team, you will have the opportunity to implement cutting-edge technology to create a next-generation advisor and client experience. Location and Travel The ideal candidate will be expected to work from our Bangalore office. Occasional travel may be required. Compensation The salary range will be determined based on experience, skills, and geographic location. Equal Opportunity Employer InvestCloud is committed to fostering an inclusive workplace and welcomes applicants from all backgrounds.