Full-Time
Senior Manager
Fund and Investor Allocation, Client and Partner Development
Arcesium
1,001-5,000 employees
Cloud-native data management for investments
No salary listed
Hyderabad, Telangana, India + 2 more
More locations: Noida, Uttar Pradesh, India | Bengaluru, Karnataka, India
In Person
 Growth & Marketing (1) |
|---|
Get referred to Arcesium
See people who can refer or advise you
- 8 to 12 years of experience in client facing roles requiring a high degree on consultative and solutioning skills (e.g., client solutions, professional services and implementations, etc.), providing technical solutions and building and driving software development
- Hands on experience in working in investor allocation & fund accounting work space across Hedge fund, UCITS, IAM, private funds.
- Hands on experience in complex fund structures such as multi layer FOF, Master-feeder, blocker, UCITs etc.
- Skills cutting across technology and financial domain
- Ability to drive cross-functional medium & large-scale projects, across business and technology domains; stakeholder management across levels is required
- Strong interpersonal skills and experience building strong internal and external relationships
- Strong communication skills, including the ability to be influential and persuasive with stakeholders
- Familiarity with cutting edge cloud solutions and data analysis techniques
- Guide customer top stakeholders (CTO, CDO) on the best ways to accelerate customer data strategy through Arcesium
- Decompose customer problem into component parts, design scalable solution using platform capabilities as building blocks
- Present solutions to customers verbally as well as written proposals, rich materials and illustrations
- Work with prospective clients to define the scope and success criteria of PoC projects
- Lead various projects including Proof of Concepts, Implementations and beyond
- Manage stakeholder expectations, highlights project risks and mitigations, and lead governance meetings
- Collaborate with Forward Deployed Software Engineers, Data Strategists, Project Managers and Product for project success
- Synthesize and note client requirement for fund and investor allocation business.
- Work on various methods of calculating Management and incentive fees across complex fund structures.
- Think critically to suggest improvements to the process, which may reduce costs, drive product innovation and result in increased sales conversion
- Closely work with client developers getting them up to speed on Arcesium’s data architecture, platform overview, hands-on training, data flow (ingress/egress) across applications
- Present and discuss Arcesium's Technology capabilities in Sales conversations, demos etc.
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
Get referred to Arcesium
See people who can refer or advise you
Simplify's Take
What believers are saying
- Arcesium Intelligence launched May 20, 2026, pushing agentic AI into client workflows.
- Limina acquisition on February 2, 2026 expands front-office reach and European distribution.
- Hong Kong opened January 13, 2026, signaling APAC demand and cross-border expansion.
What critics are saying
- SS&C's Geneva ecosystem still anchors competitors, forcing expensive migrations and long sales cycles.
- Limina integration and Arcesium Intelligence delivery risk product delays through 2027.
- A major reconciliation error at a large client would destroy trust and stall renewals.
What makes Arcesium unique
- D.E. Shaw-originated technology gives Arcesium battle-tested workflows and institutional trust.
- J.P. Morgan remains a strategic investor, validating enterprise-grade adoption.
- Limina plus FactSet create rare front-to-back coverage across public, private, and alternatives.
Help us improve and share your feedback! Did you find this helpful?
Benefits
Health Insurance
401(k) Retirement Plan
401(k) Company Match
Growth & Insights and Company News
6 month growth
↑ 12%1 year growth
↑ 12%2 year growth
↑ 12%Hypercore, an AI-powered loan administration platform for private credit, has announced a technology integration with Arcesium, a financial technology provider. The partnership creates an automated data flow connecting loan origination through to fund-level operations, eliminating manual processes between traditionally disconnected systems. The integration enables loan-level data from Hypercore to feed directly into Arcesium's investment operations platform, supporting net asset value calculations, fund accounting, investor reporting and regulatory compliance. Hypercore functions as the loan operations hub whilst Arcesium provides fund operations infrastructure. Founded to address fragmented workflows in private credit, Hypercore offers a SaaS loan management platform and AI-powered administration services. The integration reflects growing demand for purpose-built, interoperable systems as private credit portfolios increase in complexity and scale.
Feynman Point Asset Management selects Arcesium to deliver reconciliation across digital and traditional assets. Arcesium supports Feynman Point Asset Management with institutional-grade reconciliation of counterparties, internal records, and data management. NEW YORK-(BUSINESS WIRE)-Arcesium, a global financial technology company delivering front-to-back office solutions to institutional investment firms, today announces its partnership with Feynman Point Asset Management (FPAM) to enable unified multi-asset infrastructure across digital and traditional assets. With Arcesium's reconciliation solutions, FPAM is positioned to support enhanced settlement cycles allowing it to efficiently scale operations as the business grows. FPAM focuses on opportunities across digital asset markets and frontier technologies. As traditional and digital strategies increasingly intersect, the firm was actively pursuing the ability to unlock scale through infrastructure capable of reconciling complex, varied assets within a single ecosystem. Arcesium's Reconciliation platform was selected for its ability to quickly identify data discrepancies and operational risks across the firm's entire investment landscape through real-time transparency and automated exception management. The platform streamlines workflows and enhances risk management across both digital and traditional asset classes. "As our platform continues to scale, having the right operational infrastructure is critical," said Jon Knipper, Chief Operating Officer of Feynman Point Asset Management. "Arcesium's technology and institutional-grade infrastructure allow us to streamline complex workflows, enhance transparency, and focus more of our time on delivering investment performance for our clients." Phillip Silitschanu, SVP Digital Assets of Arcesium, commented: "With regulatory clarity on digital assets finally on the horizon, we expect to see a rapid increase in TradFi managers tapping into the alpha that digital assets provide. At the same time, we expect to see crypto-native managers seeking to secure a large portion of the TradFi market's AUM. For either side, driving success and scale depends on having a reliable, unified view of data and operations across both digital and traditional markets." About Feynman Point Asset Management Launched in 2022, Feynman Point Asset Management ("FPAM") is an institutional asset manager and registered investment advisor dedicated to identifying opportunities in digital asset markets and frontier technologies. FPAM provides institutional investors access to areas of potential growth through a platform anchored by an experienced team, institutional-grade infrastructure and rigorous governance and controls. About Arcesium Arcesium is a global financial technology company delivering front-to-back technology solutions for some of the world's most sophisticated financial institutions, including hedge funds, asset managers, private markets, and sell side firms. Expertly designed to achieve a synchronized golden source of data throughout a client's ecosystem, Arcesium's cloud-native technology is built to systematize the most complex workflows and help clients achieve scale. Today, Arcesium services over $6.4T in gross AUM and over $1.2T in sell-side capital balances and has modelled over 170+ million investments to date. Arcesium was built from a platform developed and tested by investment and technology development firm, the D. E. Shaw group, and launched as a joint venture with Blackstone Multi-Asset Investing. J.P. Morgan, another large client, later made a strategic investment in the company, helping Arcesium further its mission: to power the entire investment lifecycle. Arcesium currently has a staff of over 2,400 software engineering, accounting, operations, and treasury professionals.
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.