Data Analyst – Financial Domain

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🕒 January 13

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Top Rpo

11 - 50 employees

🎯 Recruiter

🤝 B2B

Recruitment • B2B

Top Rpo is a fast-paced, high-growth startup recruitment firm operating in the USA and India. It specializes in talent acquisition and Recruitment Process Outsourcing (RPO), offering end-to-end recruitment services including recruitment requirements and talent strategy development, sourcing, screening, interview scheduling, first- and second-round interviews, personality assessments, candidate selection, offer negotiation, background verification, onboarding, and KPI development. Top Rpo aims to streamline back-office hiring tasks so Hiring Managers can focus on interviewing and selecting the best candidates.

📋 Description

• A data analyst / scientist with experience in financial data and Investment technology solutions who can develop insights from data and impact strategy and direction of high value business solutions. • Require critical thinking and hands on approach using latest AI models and methodologies to analyze business problems and develop solutions from underlying data, and discover new ways/patterns to address critical questions that could not be addressed before. • Well, organized to execute data analysis and solutioning initiatives as an individual contributor and as part of the team. • Provide analytical insights to business leaders, users, developers, and other stakeholders, and evolve data discoveries and processes into operational capabilities. • Develop working solutions applying platforms and methodologies of data science and AI, and provide bottom-up insights to articulate findings of critical problems. • Provide subject matter expertise in the wide range of Investment data domains to direct solutioning effort in the most efficient manner. • This is not a top-down consulting role, but a hands-on data-science role with deep experience in coding/AI technologies where applicable.

🎯 Requirements

• 5+ years of experience as Data Scientist, Business Analyst or related role in Investment & Risk technology domain • Bachelors or Master’s degree in Finance, Statistics, Economics, Mathematics or related field of study • Application of AI tools and platforms where necessary to connect unstructured financial data • Experience in Investment Management, Portfolio modeling, Trade/Order Management Systems, Compliance, Enterprise Data Management platforms and solutions • Experience in Fixed Income and OTC instruments, including trade/order modeling, reference data, valuation, analytics and portfolio risk analytics etc. • Expertise in querying and analyzing large quantities of data using SQL, PL/SQL, Python, Java, Hive, Spark etc. • Business intelligence tools such as Tableau/Splunk etc. for data visualizations and dashboards • ETL tools such as Informatica, Alteryx, Pentaho etc. • Problem solving for data science projects: Define the analytical target, frame business questions, develop hypothesis, create analysis plans and review/refine, present findings for decision making • Use pivot tables, plotting graphs, visualizations, numeric models, programming and other advanced features in Excel • Design experiments using different data science methodologies, data sources, or elements to gauge the proxy solution of unstructured business problems • Running statistical and hypothesis testing, building regression and classification models including logistics, decision tree, conducting principal component analysis.

🏖️ Benefits

• Base, Bonus, Medical/Dental/Vision Insurance, 401K. • Opportunity to work on leading industry solutions (first of its kind) with emerging data science/AI models and methodologies, that will be in top demand for decades forward. • Projects with globally recognized largest financial institutions.

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