As a Portfolio Analytics Specialist, you will oversee onboarding projects for hedge funds, address analytic challenges, and collaborate on improving software functionalities.
About the job
Arcana is a portfolio intelligence platform used by hedge funds and asset managers to analyze performance, risk, and portfolio exposures. We’re rethinking the analytical infrastructure institutional investors rely on—and we’re hiring analytically driven problem solvers who want to help shape the future of investment technology.
This is not a traditional investment analyst role focused on pitching stocks or building static models. Our Portfolio Analytics Specialists work directly with clients, product, and engineering teams to onboard sophisticated investment firms, solve complex portfolio analytics challenges, and help build institutional-grade financial software.
If you enjoy owning projects end-to-end, working closely with institutional investors, and translating analytical problems into scalable workflows and tools, we’d love to talk.
Responsibilities
- Lead onboarding and implementation projects for hedge funds and asset managers using Arcana’s portfolio intelligence platform
- Partner directly with portfolio managers, analysts, risk teams, and operations teams to understand workflows and analytical requirements
- Collaborate cross-functionally with product, engineering, and data science teams to improve analytics workflows and platform capabilities
- Troubleshoot client issues and drive resolution across analytical, operational, and technical domains
- Help shape product direction by identifying recurring client needs, workflow inefficiencies, and opportunities for automation
- Clearly communicate analytical insights and platform functionality to sophisticated institutional users
Requirements
- 2–5 years of experience in a highly analytical, client-facing, or execution-oriented role within financial services, fintech, or investment technology
- Strong project ownership skills with the ability to independently manage initiatives from onboarding through execution
- Excellent analytical and problem-solving abilities, including comfort working with large datasets and financial concepts
- Strong communication and interpersonal skills, with the ability to explain complex analytical concepts clearly to institutional clients
- Familiarity with portfolio analytics concepts such as performance attribution, factor exposures, risk metrics, drawdowns, correlation, and volatility
- Demonstrated interest in financial markets, portfolio management, and institutional investment workflows
- Highly organized, detail-oriented, and comfortable operating in a fast-paced environment
- Ability to work cross-functionally with clients, product managers, engineers, and data teams
Qualifications
- Bachelor’s or Master’s degree in Finance, Economics, Engineering, Mathematics, Computer Science, or a related field
- Strong academic performance, 3.7+ GPA
- Experience with Excel and analytical tools required
- Familiarity with Bloomberg, FactSet, Aladdin, or similar financial platforms is a plus
- Experience with Python, SQL, or other analytical/programming tools is beneficial but not required
- CFA, FRM, or related certifications are a plus
Open to New York, Chicago, or Remote
Arcana New York, New York, USA Office
368 9th Ave, New York, NY , United States, 10001
Similar Jobs
Fintech • Information Technology • Financial Services
Develop and deploy analytical and AI-enabled tools integrated with the Aladdin platform to support portfolio construction, investment research, relative value analysis, risk budgeting, due diligence, and portfolio monitoring. Partner with portfolio managers and engineering teams to identify opportunities, prototype solutions, manage delivery, and productionize scalable applications. Communicate insights clearly while applying knowledge of financial markets, asset classes, Python, SQL, and modern technology stacks.
Top Skills:
AIAladdinAzure DevopsCloudGitLarge Language Models (Llms)Machine LearningPythonSQLUnix/Linux
Cloud • Information Technology • Machine Learning
Design, develop, and operate software platforms that automate CoreWeave’s network, including configuration generation, device provisioning, workflow automation, observability, CLIs, and APIs. Write tested Python and Go code, improve service reliability, define SLIs and SLOs, participate in on-call operations, lead architecture decisions, plan complex projects, collaborate across infrastructure teams, and mentor engineers.
Top Skills:
AnsibleCi/CdDcimDnsGoGrafanaIpamJinjaKubernetesLinuxNetboxNtpPrometheusPythonZero Touch Provisioning
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Designs, tests, and qualifies high-reliability DC/DC and AC/DC power electronics for aerospace and military applications. Responsibilities include circuit architecture, schematic capture, PWB layout, simulation, component selection, stress and tolerance analysis, hardware troubleshooting, verification testing, requirements compliance, EMI/EMC and lightning protection, and production or field-return support. Collaborates with systems, hardware, software, test, and operations teams throughout product development.
Top Skills:
Ac/Dc Power SuppliesDc/Dc ConvertersDo-160Emi/EmcFmeaLightning ProtectionLtspiceMathcadMatlabMil-Std-461Model-Based EngineeringPspicePwb DesignSiemens Xpedition EdmSimplis
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
