Investment Analytics Analyst
Career Launch AI
Job Description
Job Description
Investment Analytics Analyst
Career Launch AI Talent Network
Location: New York, NY (Hybrid)
Employment Type: Full-Time
Industry: Investment Banking / Financial Services / Investment Analytics
Experience Level: Analyst / Early Career
Compensation: Competitive base salary + performance bonus (varies by employer)
This posting represents the type of Investment Analytics Analyst roles featured within the Career Launch AI Private Job Board. It is not a direct job opening with a specific employer.
Members of the Career Launch AI platform gain access to exclusive finance, consulting, and technology opportunities that may not appear on public job boards. This description reflects a typical early-career investment analytics role accessible through our network.
More information is available at careerlaunch.ai.
Representative Role OverviewA leading investment firm or middle-market bank may seek an Investment Analytics Analyst to support portfolio analysis, quantitative modeling, performance reporting, and data-driven decision-making. These roles are ideal for candidates with strong analytical skills, attention to detail, and a passion for interpreting financial and market data to inform strategic investment decisions.
Key ResponsibilitiesBuild and maintain quantitative and financial models to support investment decisions (portfolio analytics, risk assessment, performance attribution)
Conduct data analysis, benchmarking, and industry research to support investment strategies
Prepare dashboards, reports, and presentations for internal teams and client-facing deliverables
Assist in the development of predictive models and investment algorithms
Monitor market trends, portfolio performance, and key performance indicators (KPIs)
Collaborate with portfolio managers, analysts, and other stakeholders to streamline workflows and data management
Support due diligence efforts with data collection, cleaning, and analysis
Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Data Science, or a related discipline
Strong analytical, quantitative, and problem-solving skills
Proficiency in Excel, SQL, Python, R, or other data analytics tools
Experience with financial data platforms (Bloomberg, FactSet, Capital IQ, etc.) is preferred
Excellent communication skills, both written and verbal
Ability to manage multiple projects and meet tight deadlines in a fast-paced environment
Prior internship or full-time experience in investment analytics, banking, consulting, asset management, or similar fields is beneficial
High attention to detail and strong organizational skills
This Investment Analytics Analyst description reflects opportunities available exclusively to Career Launch AI members, including:
Roles shared directly with Career Launch AI by employers
Opportunities not posted publicly
Warm introductions to hiring managers and recruiters
AI-supported job targeting and application support
Interview coaching and preparation
Career Launch AI members gain access to over 1,000+ curated roles across:
Investment Banking
Private Equity & Venture Capital
Corporate Finance & Investment Analytics
Strategy Consulting
Technology (FAANG-level and startups)
Product Management
Data, Operations, and more
Career Launch AI is a career acceleration platform designed to help job seekers secure competitive roles more efficiently. Members receive:
AI-powered job application automation
Personalized recruiter outreach
Warm introductions to decision-makers
Sector-specific resume optimization
Interview preparation and ongoing support
This posting is an example of the types of positions members may pursue through the platform.
How to Access Opportunities Like ThisTo be considered for roles of this type, candidates must enroll in the Career Launch AI platform.
Career Launch Assessment Link:
Once enrolled, members receive:
Access to the exclusive job board
Personalized recruiter outreach
Automated job applications
Coaching and interview preparation
Ongoing support until placement
$145k - $185k
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