Full-Time
Vice President
Group Engineering Manager, Return to India
Posted on 7/10/2025
Arcesium
1,001-5,000 employees
Cloud-native data management for investments
No salary listed
India
In Person
Role is based in Arcesium India offices in Bangalore, Hyderabad, or Gurugram.
 Engineering Management (1) |
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- A bachelor's degree in Computer Science with 13+ years of experience.
- Deep understanding in one of programming languages - Java (or other JVM languages), Python.
- Experience with relational or non-relational Database technologies.
- Exposure to any of the prominent cloud service providers (AWS/Azure/GCP).
- Experience and knowledge of delivering products with low/no touch support along with SRE principles.
- Experience leading a team of highly skilled engineers.
- Ability to oversee multiple projects and engagements concurrently.
- Exceptional verbal and written communications skills.
- Experience in FinTech is a bonus.
- Manage a group of highly skilled senior engineers by providing technical management, guidance, coaching, best practices and principles.
- Actively engage with all the people in the team, manage their performance and plan their careers.
- Responsible for resource planning, execution, and quality of the software delivered by the group.
- Lead the group to build sophisticated products using cutting edge technology stack. The products will be used by leading investment management firms in the world.
- Work closely with various business stakeholders like Product Management Team, and other Engineering teams to drive the execution of multiple business strategies and technologies.
- Ensuring operational efficiency and actively participating in organizational initiatives with the objective of ensuring the highest levels of service offerings to customer within the guidelines, policies.
Arcesium provides data management solutions for the investment industry. Its cloud-native platform gives hedge funds, asset managers, and financial institutions real-time access to cleaned, normalized data. The platform is scalable, letting clients grow operations, expand into new regions, and test new investment strategies without downtime. Revenue comes from subscription services plus professional consulting. Arcesium differentiates itself by offering a customizable infrastructure designed to accelerate clients’ data strategies, modernize operating models, and automate complex tasks while helping manage operational risk and improve investor communication. The company aims to help clients boost portfolio management and profitability by providing reliable data and tools that support end-to-end data workflows.
Company Size
1,001-5,000
Company Stage
N/A
Total Funding
N/A
Headquarters
New York City, New York
Founded
2015
Simplify's Take
What believers are saying
- Feynman Point selects Arcesium for multi-asset reconciliation, signaling digital asset expansion.
- ESG Book integration delivers sustainability data for 50,000 companies amid rising regulations.
- Hyderabad facility and Lisbon office expansions strengthen global operations by 2026.
What critics are saying
- Enfusion captures hedge funds with $1.1T AUM and faster unified platform deployments.
- SS&C Geneva AI upgrade steals asset managers via superior customization in 6-12 months.
- Limina team led by Kristoffer Fürst defects to Advent, delaying European rollout in 3-6 months.
What makes Arcesium unique
- Arcesium's Aquata AI extracts loan events from unstructured PDFs, cutting validation from hours to minutes.
- Opterra unifies reconciliation for digital and traditional assets, as with Feynman Point partnership.
- Limina acquisition integrates front-to-back platform, eliminating legacy investment operation fragmentation.
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Benefits
Health Insurance
401(k) Retirement Plan
401(k) Company Match
Company News
Arcesium, a global financial technology provider, has acquired Stockholm-based portfolio and order management systems provider Limina, creating an integrated front-to-back investment platform. The deal marks Arcesium's first acquisition and aims to eliminate legacy fragmentation in investment operations. The acquisition combines Limina's cloud-native portfolio and order management systems with Arcesium's middle- and back-office solutions. Limina's entire team, including CEO Kristoffer Fürst, will join Arcesium to support ongoing product development. Arcesium currently services over $5.3 trillion in gross assets under management and employs over 2,300 professionals. The acquisition strengthens its European presence whilst positioning the firm for continued growth in the US and international markets. Founded in 2014, Limina specialises in multi-asset investment management platforms for asset managers, hedge funds and asset owners.
Arcesium upgrades Aquata platform to help investment firms master unstructured data. Arcesium, a global financial technology company, has launched a new suite of AI features for its data platform, Aquata. The update is designed to help institutional asset managers, hedge funds, and private market firms scale their AI strategies by unlocking value from unstructured data sources and improving interoperability. The financial services sector is notoriously reliant on document-heavy workflows, particularly in private markets. Arcesium's new release specifically targets the challenge of unstructured data - such as PDFs, emails, and notices - which often requires significant manual intervention to process. The update introduces a generative AI-powered agent capable of extracting structured data from these documents. The agent ingests and organizes the information, applying data quality rules to create a reliable foundation of proprietary data. For private credit managers, the impact of this automation has been quantifiable. According to Arcesium, the tool successfully extracted loan lifecycle events - such as drawdowns, paydowns, and interest repricing - from notices across more than 15 counterparties. This process reduced what was previously hours of manual validation by operations teams into "minutes of exception-based review." Connecting AI to governed data. Alongside data extraction, Arcesium has launched a Model Context Protocol (MCP) server within Aquata. This feature addresses the challenge of connecting enterprise AI tools to a firm's internal data. The Aquata MCP server enables investment firms to use natural language to orchestrate investment lifecycle data from any enterprise AI interface. By leveraging domain-aware schemas, the server allows users to query data for analysis or run transformation workloads while ensuring the AI interacts with a "governed, trusted" data foundation. Bryan Dougherty, chief technology officer at Arcesium, emphasized the necessity of these tools in the current market: "Financial services is awash with unstructured communications. That data is both underutilized and creates tremendous data management challenges. Generative AI and LLMs are well-suited to mitigate those obstacles, and we're committed to being at the forefront of our industry in integrating cutting-edge technology into AI-enabled solutions with interoperability at their core." Scale and Context. Arcesium, which was developed from a platform created by the D. E. Shaw group and launched as a joint venture with Blackstone Multi-Asset Investing, currently services over $5.3trillion in gross AUM. Mitya Miller, senior vice president and general manager of the Aquata platform, noted that clients are currently processing "hundreds of thousands of documents monthly" for critical workflows. He stated that the new capabilities position Aquata as a unified operating model that combines unstructured data intelligence with a governed investment data foundation. The new AI tools are now available to all users of the Aquata platform.
Arcesium launches new AI features in Aquata for institutional investors. Arcesium, a leading provider of investment lifecycle and data management technology for the global investment industry, announces the launch of a suite of new AI features for its comprehensive self-service data platform, Aquata. With these new capabilities, institutional asset managers, hedge funds, private markets funds and capital markets firms can scale up their AI strategies, unlock agentic workflows, and extract value from a greater variety of data sources to power their investment strategies. The new AI features include unstructured data processing capabilities that create operating leverage for firms running manual processes, as well as a Model Context Protocol (MCP) server that enables investment firms to connect any enterprise AI tool to their governed data foundation in the Aquata platform. These capabilities mark a significant advance in how institutional investors operationalize AI across their workflows - securely, efficiently, and at scale. Arcesium has launched new AI features for its comprehensive self-service data platform, Aquata, enabling IAMs, hedge funds, private markets and capital markets firms to scale their AI strategies and extract value from a wider range of data sources. The unstructured data extraction capability is a generative AI-powered agent that obtains structured data from unstructured source documents, such as PDFs and emails. The agent ingests, organizes and applies data quality and control rules to extracted data so that investment firms can operate from a reliable foundation of structured proprietary data. With the capability natively embedded in the Arcesium ecosystem, clients can easily integrate extracted data into workflows. For Private Credit investment managers, Aquata's AI-powered unstructured data processing successfully extracted loan lifecycle events - including drawdowns, paydowns, interest repricing, and fees - from loan notices across 15+ counterparties, reducing what previously required hours of manual validation by investment operations teams to minutes of exception-based review. Additional applications include processing direct lending borrower reporting, private equity portfolio company financials, limited partner documents, real estate financing, and bilateral trading agreements. The Aquata MCP server enables investment firms to use natural language to orchestrate their investment lifecycle data in Aquata from any enterprise AI interface. Initial MCP tools enable users to query the right data for analysis and leverage domain-aware schemas for running analytical or data transformation workloads. The Aquata MCP server also provides financial institutions with enhanced reliability, accuracy and efficiency in their AI efforts, as they can execute workflows from a data foundation that is governed, trusted, and purpose-built for the complexity and nuance of the investment industry domain. Bryan Dougherty, Chief Technology Officer at Arcesium commented: "Financial services is awash with unstructured communications. That data is both underutilized and creates tremendous data management challenges. Generative AI and LLMs are well-suited to mitigate those obstacles, and we're committed to being at the forefront of our industry in integrating cutting-edge technology into AI-enabled solutions with interoperability at their core. The launch of this new suite of AI capabilities within the Aquata platform is part of Arcesium's broader AI strategy to transform how we deliver value to our clients." Mitya Miller, Senior Vice President and General Manager of the Aquata platform, at Arcesium commented: "Our clients demand solutions that can handle high volumes and produce low margins of error, with some clients processing hundreds of thousands of documents monthly for critical operational workflows. They are also deploying sophisticated AI workflows requiring the ability to seamlessly engage with their underlying investment lifecycle data. The launch of unstructured data extraction capability and MCP server in the Aquata platform demonstrates our commitment to helping the investment industry achieve AI-enabled operational scale. Together, these capabilities position Aquata as a leading, AI-ready data platform purpose-built for institutional investing - unifying unstructured data intelligence, natural-language querying, and a governed investment data foundation in a single operating model." The new AI tools are now available to all users of the Aquata platform. Aquata is a self-service data platform purpose-built for the investment industry, featuring pre-configured connectivity with data providers, as well as industry-specific data models, lineage, quality, transformation, and reporting tools. AI Media Room is the in-house content creation laboratory, ran by highly energetic, volatile and flamboyant group of media professionals, AI analysts, and industry trend-watchers.
Arcesium unveils new suite of AI features in aquata(r) to help institutional investors scale their AI strategies. NEW YORK, December 15, 2025-(BUSINESS WIRE)-Arcesium, a leading provider of investment lifecycle and data management technology for the global investment industry, today announces the launch of a suite of new AI features for its comprehensive self-service data platform, Aquata. With these new capabilities, institutional asset managers, hedge funds, private markets funds and capital markets firms can scale up their AI strategies, unlock agentic workflows, and extract value from a greater variety of data sources to power their investment strategies. The new AI features include unstructured data processing capabilities that create operating leverage for firms running manual processes, as well as a Model Context Protocol (MCP) server that enables investment firms to connect any enterprise AI tool to their governed data foundation in the Aquata platform. These capabilities mark a significant advance in how institutional investors operationalize AI across their workflows - securely, efficiently, and at scale. The unstructured data extraction capability is a generative AI-powered agent that obtains structured data from unstructured source documents, such as PDFs and emails. The agent ingests, organizes and applies data quality and control rules to extracted data so that investment firms can operate from a reliable foundation of structured proprietary data. With the capability natively embedded in the Arcesium ecosystem, clients can easily integrate extracted data into workflows. For Private Credit investment managers, Aquata's AI-powered unstructured data processing successfully extracted loan lifecycle events - including drawdowns, paydowns, interest repricing, and fees - from loan notices across 15+ counterparties, reducing what previously required hours of manual validation by investment operations teams to minutes of exception-based review. Additional applications include processing direct lending borrower reporting, private equity portfolio company financials, limited partner documents, real estate financing, and bilateral trading agreements. The Aquata MCP server enables investment firms to use natural language to orchestrate their investment lifecycle data in Aquata from any enterprise AI interface. Initial MCP tools enable users to query the right data for analysis and leverage domain-aware schemas for running analytical or data transformation workloads. The Aquata MCP server also provides financial institutions with enhanced reliability, accuracy and efficiency in their AI efforts, as they can execute workflows from a data foundation that is governed, trusted, and purpose-built for the complexity and nuance of the investment industry domain.
"We are thrilled that Arcesium is expanding its operations in Hyderabad.