We’re looking for world-class front-office Financial Analysts to join our mission at Arcana—a next-generation portfolio intelligence company powering hedge funds, and asset managers. This role isn’t your typical modeling-and-memos analyst gig. Our analysts work hand-in-hand with product, engineering, and data science to build the future of institutional-grade finance software. Work experience in buy-side financial institutions or top-tier investment banks, and strong Excel skills are a necessity. If you’re passionate about numbers but thrive at the intersection of finance, technology, and quantitative thinking, this is the role for you. Responsibilities: Presentation and analysis of data utilizing charts, tables, and Excel. Analyzing financial reports, market, and asset performance to draw useful takeaways in the frame of an investor. Interpreting information about yield, price, risk, stability, and other factors that contribute to a financial asset's investment merits. Deep understanding of quantitative risk modeling to innovate and improve upon our commercial risk model & portfolio analytics. Conducting unit economic and financial analysis. Working closely with the data engineering and data science team to interpret, check, and source relevant metrics and data. Requirements: Top-tier pedigree: Bachelor’s or Master's degree with honors (8.0+ GPA mandatory). Ideally from an IIT/IIM/top global university. MBA/CFA/FRM is a strong plus. 2+ years of experience in a front-office financial role (typically, Investment Banking, or Investment Due Diligence). Must have strong communication skills (verbal and written). Methodical, concise, and accurate work style, with strong attention to detail and deadlines. Able to quickly learn and apply technical understanding to solve problems. An aptitude and interest in quantitative risk management, information technology, and the latest trends. Conscientious and focused on objectives with an attitude, and with written and verbal communication. Sound experience in data analysis, validation, and presentation of results (MS Excel). Preferred locations: Remote, Bangalore, Mumbai, Delhi, or Coimbatore are a plus. Show more Show less

We are seeking a dynamic Lead Product Manager to join our team and work closely with our founders, financial analysts, engineers, and product managers. In this role, you'll drive the development of innovative features and solutions that support our clients' success. You will play a key role in defining product vision, gathering and prioritizing customer requirements, and collaborating with cross-functional teams to deliver impactful products. Your ability to balance customer needs with business goals and lead product initiatives from concept to execution will be key to driving our platform's growth and success. Responsibilities: Develop and implement the product vision for a data platform designed to meet the needs of institutional investors. Collaborate with clients to understand their data engineering and analytical requirements. Lead the development of critical features from the initial requirements phase through to final delivery. Work closely with Product Engineers and Data Engineers to ensure optimal performance, scalability, and reliability of the data platform. Manage the full product lifecycle, from conceptualization to launch, with a focus on continuous improvement and adaptation to market needs. Stay up-to-date with the latest trends in data engineering, data lake house technologies, and investment management solutions to ensure the product remains competitive. Regularly communicate progress and updates to stakeholders and gather client feedback to refine the product roadmap. Requirements: 5+ years of experience in product management, ideally with a focus on data platforms, data engineering, or analytics products. Education from IIT or IIM with an 8.0+ GPA (mandatory). MBA is a plus. Strong proficiency in data technologies, workflows, and tools like SQL, Python, and data engineering concepts. Proven experience managing data-centric product development with both internal teams and external client requirements. Excellent communication, client-facing, and cross-functional collaboration skills. Show more Show less

We’re hiring a Recruiting Coordinator at Arcana. We’re growing steadily and with purpose — and we’re looking for someone who’s not just detail-oriented and dependable, but also genuinely enjoys talking to people. If you’re curious, organized, and have a knack for making others feel welcome, you might be a great fit. In this key coordination role, you’ll support scheduling, candidate communication, and keep the day-to-day rhythm of recruiting running smoothly. You’ll be the face of Arcana for many candidates — so we’re hoping you bring your own personality, interests, and positive energy into the mix. What You’ll Do Schedule interviews and coordinate with candidates and interviewers Call candidates directly for scheduling, coordination, and screening Manage candidate communication and follow-ups Maintain accuracy in Greenhouse (our ATS) and use tools like Instahyre and LinkedIn Collaborate closely with recruiters and hiring managers to keep processes efficient Help deliver a warm, clear, and consistent candidate experience What We’re Looking For 3+ years of experience in recruiting coordination, sourcing, or HR support Experience working at a Tier 1 company Comfortable with phone-based communication (and not afraid to follow up) Highly organized and proactive; strong attention to detail Experience with Greenhouse, Instahyre, or LinkedIn is a plus Friendly, thoughtful communicator who can represent Arcana well Show more Show less

We are seeking dynamic Portfolio Data Analysts to join our team and collaborate closely with our founders, financial analysts, product managers, and engineers. In this role, you'll play a pivotal part in supporting our client onboarding and success team. You'll need a strong ability to analyze financial data, translate insights into actionable strategies, and effectively guide clients through our platform's features to drive their success. Responsibilities: Analyze and onboard portfolio data from various sources into Arcana's data integration ecosystem. Collaborate with engineering, product management, and data operations teams to deliver high-quality, timely, and reliable data solutions through Arcana's platform. Work with a range of third-party data providers to integrate their data into Arcana's system. Develop and support data aggregation solutions based on client and third-party content, tailored to user workflow needs. Collaborate with user experience, design, and project management teams to develop data-oriented workflow solutions and product enhancements. Analyze and implement solutions to improve data operations and pipeline efficiency. Understand Arcana's products and clients, working closely with internal stakeholders to identify new opportunities to serve clients and grow the business. Contribute to the evolution of Arcana's financial data solutions, ensuring the platform remains a leading integrator of market-traded and alternative asset data. Requirements: GPA of 8.0+ Data analysis experience with exposure to finance and investment management. Strong communication and interpersonal skills for collaborating with vendors, clients, and internal teams. Ability to communicate complex ideas, problems, and solutions clearly both verbally and in writing for development, sales, clients, and third-party data providers. Ability to work with engineering teams to define functional and technical solutions to business problems, including a solid understanding of data development, data modeling, and writing/reviewing technical documentation. A passion for the finance and technology space, with a focus on solving complex problems in the investment management industry. Experience working with financial data and concepts relevant to Arcana's clients and products is highly preferred. Show more Show less

Join our dynamic team at the forefront of cutting-edge technology as we seek a seasoned Staff/Lead Backend Engineer (Remote). Embark on a journey where your deep-rooted expertise in computer science fundamentals, alongside an intricate understanding of data structures, algorithms, and system design, becomes the cornerstone of innovative solutions. This pivotal role not only demands your proficiency in developing and elevating compute and I/O-intensive applications but also ensures their peak performance and unwavering reliability. Responsibilities: Architect, refine, and escalate the capabilities of complex backend systems using Python, with a laser focus on efficiency, durability, and scale. Elevate application performance, optimizing for speed, scalability, and resource allocation. Forge robust methodologies to manage high concurrency and vast data volumes, setting new industry benchmarks. Collaborate intimately with engineering and product peers to crystallize requirements into resilient, scalable architectures. Demonstrate proficiency with advanced storage solutions and databases like Redis, PostgreSQL, and ClickHouse, enhancing system integrity. Champion coding excellence, testing rigor, and deployment precision, driving best practices across the development lifecycle. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. IIT/NIT/IIIT/Tier 1 school required along with strong GPA. Minimum of 5 years of experience in backend development with Python in a production environment. Proven experience in scaling compute and I/O-intensive applications. Strong foundation in computer science, with a deep understanding of data structures, algorithms, and system design principles. Experience in handling concurrent requests at scale and optimizing large-scale systems for performance and reliability. Familiarity with database technologies such as Redis, PostgreSQL, and ClickHouse. Experience in the financial sector, particularly in developing fintech applications or systems, is a plus. Solid understanding of software development life cycle, continuous integration, and continuous delivery (CI/CD) practices. Excellent problem-solving abilities and strong communication skills. Show more Show less

We're looking for a dynamic Senior Data Scientist to join our team, working alongside our founders, financial analysts, product managers, and engineers. This is your chance to get hands-on with massive datasets, crafting the metrics that matter to institutional investors worldwide. For those who are curious and passionate about financial technologies, this is a great opportunity to work at an extremely well-capitalized startup with a proven team of senior financial and tech industry talent to build the future of investing tools. Responsibilities: Work with large and complex data sets and derive investment-relevant metrics in close partnership with financial analysts and engineers. Apply knowledge of statistics, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to the development of fundamental metrics needed to evaluate various assets. Implement the risk factor model using advanced statistical and programming techniques, ensuring its performance aligns with the proposed design. Conduct rigorous testing and validation of the model to ensure its effectiveness in identifying, quantifying, and managing various risk factors. Build customer-facing metrics and dashboards. Work closely with analysts, engineers, and Product Managers and provide feedback as we develop our data analytics and research platform. Requirements: Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience (or) degree in an analytical field (e. g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science). IIT preferred. 3+ years of experience with data analysis and metrics development. 3+ years of experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholders. 2+ years of experience writing SQL queries. 2+ years of experience scripting in Python. Interested in learning new technologies to solve customer needs with lots of creative freedom. Strong communication skills and business acumen. Self-starter, motivated by an interest in developing the best possible solutions to problems. Strong SQL and Python programming skills. Experience with Airflow, Google BigQuery, and Clickhouse is a plus. Show more Show less

Arcana is a portfolio intelligence platform used by hedge funds and asset managers to analyze performance and risk. We’re rethinking the tools institutional investors rely on—and we’re hiring analysts who want to drive that transformation. This isn’t a typical modeling-and-memos analyst role. Our analysts work directly with product, engineering, and data science to shape institutional-grade financial software. If you’re an analyst looking for more impact, more ownership, and the chance to help shape real tools for investors—we’d love to talk. Responsibilities Collaborate with product, engineering, and data science teams to build robust portfolio intelligence tools and analytics components Analyze portfolio- and security-level performance, risk, and attribution Decompose returns to identify key drivers of alpha, beta, and idiosyncratic outcomes Conduct market, macroeconomic, and security-level research to support client workflows and product insights Validate, interpret, and clearly communicate financial metrics to both internal stakeholders and clients Requirements 1–3 years of experience in a front-office financial role (investment banking, hedge fund, asset management, or similar) Exceptional analytical and Excel skills, with strong proficiency in financial modeling and interpreting large datasets Deep understanding of core investment concepts: portfolio theory, risk attribution, yield, drawdown, correlation, and volatility Excellent at communicating with institutional clients—including portfolio managers, analysts, CIOs, and risk managers—with the ability to distill complex analysis into clear, actionable insights Demonstrated deep interest in financial markets, investment strategies, and institutional workflows Self-starter with the ability to work independently in a fast-paced, remote environment Familiarity with institutional investment processes, research platforms, and financial data tools Qualifications Bachelor’s or Master’s degree from a top-ranked university in Finance, Economics, Engineering, or a related field. Minimum GPA of 8.0+ (required), IIT/IIM/ISB preferred. CFA, FRM, or MBA is a strong plus Experience with tools like Bloomberg, FactSet, or data programming languages (Python, R) is a bonus Show more Show less

We’re hiring a dynamic and experienced Site Leader to head our Coimbatore operations. This role requires a strong mix of leadership, execution, and collaboration, ideally with experience in fintech or financial services. You’ll be the senior-most representative on-site, responsible for team growth, operational excellence, and culture. Key Responsibilities Own day-to-day operations and serve as the primary point of contact for the Coimbatore site. Lead and mentor cross-functional teams across data analytics, support, and operations. Drive hiring, onboarding, and ongoing development of local talent. Build a strong, values-aligned culture rooted in trust, autonomy, and excellence. Collaborate closely with leadership across product, engineering, and finance to ensure strategic alignment. Oversee performance and reporting for the local data analytics team, ensuring insights inform business decisions. Contribute to site-level planning, operational processes, and delivery tracking. Requirements 10+ years of people and team management experience. Prior experience leading a team of 25+ people. Strong background in financial services, fintech, or related operational roles. Proven ability to lead cross-functional teams in high-growth environments. Excellent communication and stakeholder management skills. Strategic thinker with a hands-on, problem-solving mindset. Must be based full-time in Coimbatore, with occasional travel to other Arcana locations. Nice to Have Experience working with or managing distributed/global teams. Comfort navigating the fast pace and ambiguity of startup environments. Fluency in English and Tamil Show more Show less

We are seeking dynamic Portfolio Data Analysts to join our team and collaborate closely with our founders, financial analysts, product managers, and engineers. In this role, you'll play a pivotal part in supporting our client onboarding and success team. You'll need a strong ability to analyze financial data, translate insights into actionable strategies, and effectively guide clients through our platform's features to drive their success. Responsibilities: Analyze and onboard portfolio data from various sources into Arcana's data integration ecosystem. Collaborate with engineering, product management, and data operations teams to deliver high-quality, timely, and reliable data solutions through Arcana's platform. Work with a range of third-party data providers to integrate their data into Arcana's system. Develop and support data aggregation solutions based on client and third-party content, tailored to user workflow needs. Collaborate with user experience, design, and project management teams to develop data-oriented workflow solutions and product enhancements. Analyze and implement solutions to improve data operations and pipeline efficiency. Understand Arcana's products and clients, working closely with internal stakeholders to identify new opportunities to serve clients and grow the business. Contribute to the evolution of Arcana's financial data solutions, ensuring the platform remains a leading integrator of market-traded and alternative asset data. Requirements: GPA of 8.0+ Data analysis experience with exposure to finance and investment management. Strong communication and interpersonal skills for collaborating with vendors, clients, and internal teams. Ability to communicate complex ideas, problems, and solutions clearly both verbally and in writing for development, sales, clients, and third-party data providers. Ability to work with engineering teams to define functional and technical solutions to business problems, including a solid understanding of data development, data modeling, and writing/reviewing technical documentation. A passion for the finance and technology space, with a focus on solving complex problems in the investment management industry. Experience working with financial data and concepts relevant to Arcana's clients and products is highly preferred. Show more Show less

We're looking for world-class front-office Financial Analysts to join our mission at Arcana—a next-generation portfolio intelligence company powering hedge funds, and asset managers. This role isn't your typical modeling-and-memos analyst gig. Our analysts work hand-in-hand with product, engineering, and data science to build the future of institutional-grade finance software. Work experience in buy-side financial institutions or top-tier investment banks, and strong Excel skills are a necessity. If you're passionate about numbers but thrive at the intersection of finance, technology, and quantitative thinking, this is the role for you. Responsibilities: Presentation and analysis of data utilizing charts, tables, and Excel. Analyzing financial reports, market, and asset performance to draw useful takeaways in the frame of an investor. Interpreting information about yield, price, risk, stability, and other factors that contribute to a financial asset's investment merits. Deep understanding of quantitative risk modeling to innovate and improve upon our commercial risk model & portfolio analytics. Conducting unit economic and financial analysis. Working closely with the data engineering and data science team to interpret, check, and source relevant metrics and data. Requirements: Top-tier pedigree: Bachelor's or Master's degree with honors (8.0+ GPA mandatory). Ideally from an IIT/IIM/top global university. MBA/CFA/FRM is a strong plus. 2+ years of experience in a front-office financial role (typically, Investment Banking, or Investment Due Diligence). Must have strong communication skills (verbal and written). Methodical, concise, and accurate work style, with strong attention to detail and deadlines. Able to quickly learn and apply technical understanding to solve problems. An aptitude and interest in quantitative risk management, information technology, and the latest trends. Conscientious and focused on objectives with an attitude, and with written and verbal communication. Sound experience in data analysis, validation, and presentation of results (MS Excel). Preferred locations: Remote, Bangalore, Mumbai, Delhi, or Coimbatore are a plus. Show more Show less

Arcana is a portfolio intelligence platform used by hedge funds and asset managers to analyze performance and risk. We're rethinking the tools institutional investors rely on—and we're hiring analysts who want to drive that transformation. This isn't a typical modeling-and-memos analyst role. Our analysts work directly with product, engineering, and data science to shape institutional-grade financial software. If you're an analyst looking for more impact, more ownership, and the chance to help shape real tools for investors—we'd love to talk. Responsibilities Collaborate with product, engineering, and data science teams to build robust portfolio intelligence tools and analytics components Analyze portfolio- and security-level performance, risk, and attribution Decompose returns to identify key drivers of alpha, beta, and idiosyncratic outcomes Conduct market, macroeconomic, and security-level research to support client workflows and product insights Validate, interpret, and clearly communicate financial metrics to both internal stakeholders and clients Requirements 1–3 years of experience in a front-office financial role (investment banking, hedge fund, asset management, or similar) Exceptional analytical and Excel skills, with strong proficiency in financial modeling and interpreting large datasets Deep understanding of core investment concepts: portfolio theory, risk attribution, yield, drawdown, correlation, and volatility Excellent at communicating with institutional clients—including portfolio managers, analysts, CIOs, and risk managers—with the ability to distill complex analysis into clear, actionable insights Demonstrated deep interest in financial markets, investment strategies, and institutional workflows Self-starter with the ability to work independently in a fast-paced, remote environment Familiarity with institutional investment processes, research platforms, and financial data tools Qualifications Bachelor's or Master's degree from a top-ranked university in Finance, Economics, Engineering, or a related field. Minimum GPA of 8.0+ (required), IIT/IIM/ISB preferred. CFA, FRM, or MBA is a strong plus Experience with tools like Bloomberg, FactSet, or data programming languages (Python, R) is a bonus Show more Show less

We're looking for a dynamic Senior Data Scientist to join our team, working alongside our founders, financial analysts, product managers, and engineers. This is your chance to get hands-on with massive datasets, crafting the metrics that matter to institutional investors worldwide. For those who are curious and passionate about financial technologies, this is a great opportunity to work at an extremely well-capitalized startup with a proven team of senior financial and tech industry talent to build the future of investing tools. Responsibilities: Work with large and complex data sets and derive investment-relevant metrics in close partnership with financial analysts and engineers. Apply knowledge of statistics, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to the development of fundamental metrics needed to evaluate various assets. Implement the risk factor model using advanced statistical and programming techniques, ensuring its performance aligns with the proposed design. Conduct rigorous testing and validation of the model to ensure its effectiveness in identifying, quantifying, and managing various risk factors. Build customer-facing metrics and dashboards. Work closely with analysts, engineers, and Product Managers and provide feedback as we develop our data analytics and research platform. Requirements: Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience (or) degree in an analytical field (e. g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science). IIT preferred. 3+ years of experience with data analysis and metrics development. 3+ years of experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholders. 2+ years of experience writing SQL queries. 2+ years of experience scripting in Python. Interested in learning new technologies to solve customer needs with lots of creative freedom. Strong communication skills and business acumen. Self-starter, motivated by an interest in developing the best possible solutions to problems. Strong SQL and Python programming skills. Experience with Airflow, Google BigQuery, and Clickhouse is a plus. Show more Show less

We're hiring a dynamic and experienced Leader to head our Data & Integration Operations team. This role requires a strong mix of leadership, execution, and collaboration, ideally with experience in fintech or financial services. You'll be the senior-most representative on-site, responsible for team growth, operational excellence, and culture. Key Responsibilities Own day-to-day operations and serve as the primary point of contact for the Data & Integration Operations team. Lead and mentor our cross-functional team across data analytics, support, and operations. Drive hiring, onboarding, and ongoing development of local talent. Build a strong, values-aligned culture rooted in trust, autonomy, and excellence. Collaborate closely with leadership across product, engineering, and finance to ensure strategic alignment. Oversee performance and reporting for the local data analytics team, ensuring insights inform business decisions. Contribute to site-level planning, operational processes, and delivery tracking Requirements 10+ years of people and team management experience. Prior experience leading a team of 25+ people. Strong background in financial services, fintech, or related operational roles. Proven ability to lead cross-functional teams in high-growth environments. Excellent communication and stakeholder management skills. Strategic thinker with a hands-on, problem-solving mindset. Must be based full-time in Coimbatore, with occasional travel to other Arcana locations Nice to Have Experience working with or managing distributed/global teams. Comfort navigating the fast pace and ambiguity of start-up environments. Show more Show less

We are seeking a dynamic Lead Product Manager to join our team and work closely with our founders, financial analysts, engineers, and product managers. In this role, you'll drive the development of innovative features and solutions that support our clients' success. You will play a key role in defining product vision, gathering and prioritizing customer requirements, and collaborating with cross-functional teams to deliver impactful products. Your ability to balance customer needs with business goals and lead product initiatives from concept to execution will be key to driving our platform's growth and success. Responsibilities: Develop and implement the product vision for a data platform designed to meet the needs of institutional investors. Collaborate with clients to understand their data engineering and analytical requirements. Lead the development of critical features from the initial requirements phase through to final delivery. Work closely with Product Engineers and Data Engineers to ensure optimal performance, scalability, and reliability of the data platform. Manage the full product lifecycle, from conceptualization to launch, with a focus on continuous improvement and adaptation to market needs. Stay up-to-date with the latest trends in data engineering, data lake house technologies, and investment management solutions to ensure the product remains competitive. Regularly communicate progress and updates to stakeholders and gather client feedback to refine the product roadmap. Requirements: 5+ years of experience in product management, ideally with a focus on data platforms, data engineering, or analytics products. Education from IIT or IIM with an 8.0+ GPA (mandatory). MBA is a plus. Strong proficiency in data technologies, workflows, and tools like SQL, Python, and data engineering concepts. Proven experience managing data-centric product development with both internal teams and external client requirements. Excellent communication, client-facing, and cross-functional collaboration skills. Show more Show less

We are seeking a detail-oriented Data Associate to join our growing team. As a Data Associate, you will work closely with our product managers, financial analysts, and engineers to ensure high-quality data integration, analysis, and maintenance. The ideal candidate will have a passion for working with large datasets, a strong analytical mindset, and a desire to make an impact in the financial technology space. Responsibilities: Work with large datasets to ensure data accuracy, consistency, and integrity across databases. Partner with Product and Engineering teams to identify and implement process improvements and automation tools to enhance data quality and operational efficiency. Support internal teams by creating and maintaining internal reports and dashboards. Diagnose and highlight data pipeline issues, escalating complex problems as needed. Respond promptly to data-related inquiries and requests from clients, internal teams (Sales, Services), and external data providers/partners. Collaborate with regional teams on shared operational workflows and cross-functional projects. Maintain and update team resources and procedural documentation, and ensure accurate recording of metrics for internal reporting and analytics. Conduct daily verification checks to ensure the accuracy and timely availability of client portfolio data, adhering to defined SLAs. Requirements: Bachelor's degree in a relevant field (Mathematics, Statistics, Data Science, Finance, Economics, or related disciplines). GPA of 8.0+ is required Strong understanding of data management and analytics. Proficiency in Excel and/or other data analysis tools. Excellent communication and interpersonal skills for engaging with internal and external data partners. Consistent track record of multitasking and prioritizing effectively in a fast-paced environment, and remaining calm under pressure. Open to working flexible hours (early morning, day shift, evening shift) Show more Show less

We are looking for a Software Test lead for our Quality Assurance team. The team is responsible for ensuring the quality of critical qualitative trading system tools and related components. Key Responsibilities: Design and develop end-to-end functional and integration test scenarios to validate business functionality and system requirements Provide technical leadership in test plan creation, test case development, and execution for complex distributed systems Work closely with cross-functional teams to define and implement quality metrics for release measurement Innovate and optimize QA processes by introducing new tools, methodologies, and automation frameworks Actively participate in all release cycles including scope planning, test effort estimation, execution, and release sign-off Drive productivity through robust test automation strategies and tools Mentor and manage a team of QA engineers, promoting best practices and continuous improvement Requirements: A solid educational background from IIT/IIIT/NIT, preferably with a degree in Computer Science, a GPA of 8.0 or above, and at least 8 years of experience in testing web applications and web services Prior experience working in a tech/product-based company Demonstrated ability to lead and manage QA teams of 10 or more engineers Excellent analytical, problem-solving, test planning, and team leadership skills Hands-on experience with unit testing frameworks such as JUnit, TestNG, etc. Proficiency in one or more programming languages (Python, Java, .NET, or C++) and familiarity with UNIX environments; scripting skills in Python or Perl are a plus Experience testing client-server and distributed systems is highly desirable Familiarity with the financial domain or prior experience testing applications in this domain is an added advantage

We are seeking a dynamic Lead Product Manager to join our team and work closely with our founders, financial analysts, engineers, and product managers. In this role, you'll drive the development of innovative features and solutions that support our clients' success. You will play a key role in defining product vision, gathering and prioritizing customer requirements, and collaborating with cross-functional teams to deliver impactful products. Your ability to balance customer needs with business goals and lead product initiatives from concept to execution will be key to driving our platform's growth and success. Responsibilities: Develop and implement the product vision for a data platform designed to meet the needs of institutional investors. Collaborate with clients to understand their data engineering and analytical requirements. Lead the development of critical features from the initial requirements phase through to final delivery. Work closely with Product Engineers and Data Engineers to ensure optimal performance, scalability, and reliability of the data platform. Manage the full product lifecycle, from conceptualization to launch, with a focus on continuous improvement and adaptation to market needs. Stay up-to-date with the latest trends in data engineering, data lake house technologies, and investment management solutions to ensure the product remains competitive. Regularly communicate progress and updates to stakeholders and gather client feedback to refine the product roadmap. Requirements: 5+ years of experience in product management, ideally with a focus on data platforms, data engineering, or analytics products. Education from IIT or IIM with an 8.0+ GPA (mandatory). MBA is a plus. Strong proficiency in data technologies, workflows, and tools like SQL, Python, and data engineering concepts. Proven experience managing data-centric product development with both internal teams and external client requirements. Excellent communication, client-facing, and cross-functional collaboration skills.

We’re looking for world-class front-office Financial Analysts to join our mission at Arcana—a next-generation portfolio intelligence company powering hedge funds, and asset managers. This role isn’t your typical modeling-and-memos analyst gig. Our analysts work hand-in-hand with product, engineering, and data science to build the future of institutional-grade finance software. Work experience in buy-side financial institutions or top-tier investment banks, and strong Excel skills are a necessity. If you’re passionate about numbers but thrive at the intersection of finance, technology, and quantitative thinking, this is the role for you. Responsibilities: Presentation and analysis of data utilizing charts, tables, and Excel. Analyzing financial reports, market, and asset performance to draw useful takeaways in the frame of an investor. Interpreting information about yield, price, risk, stability, and other factors that contribute to a financial asset's investment merits. Deep understanding of quantitative risk modeling to innovate and improve upon our commercial risk model & portfolio analytics. Conducting unit economic and financial analysis. Working closely with the data engineering and data science team to interpret, check, and source relevant metrics and data. Requirements: Top-tier pedigree: Bachelor’s or Master's degree with honors (8.0+ GPA mandatory). Ideally from an IIT/IIM/top global university. MBA/CFA/FRM is a strong plus. 2+ years of experience in a front-office financial role (typically, Investment Banking, or Investment Due Diligence). Must have strong communication skills (verbal and written). Methodical, concise, and accurate work style, with strong attention to detail and deadlines. Able to quickly learn and apply technical understanding to solve problems. An aptitude and interest in quantitative risk management, information technology, and the latest trends. Conscientious and focused on objectives with an attitude, and with written and verbal communication. Sound experience in data analysis, validation, and presentation of results (MS Excel). Preferred locations: Remote, Bangalore, Mumbai, Delhi, or Coimbatore are a plus.

We’re hiring a Recruiting Coordinator at Arcana. We’re growing steadily and with purpose — and we’re looking for someone who’s not just detail-oriented and dependable, but also genuinely enjoys talking to people. If you’re curious, organized, and have a knack for making others feel welcome, you might be a great fit. In this key coordination role, you’ll support scheduling, candidate communication, and keep the day-to-day rhythm of recruiting running smoothly. You’ll be the face of Arcana for many candidates — so we’re hoping you bring your own personality, interests, and positive energy into the mix. What You’ll Do Schedule interviews and coordinate with candidates and interviewers Call candidates directly for scheduling, coordination, and screening Manage candidate communication and follow-ups Maintain accuracy in Greenhouse (our ATS) and use tools like Instahyre and LinkedIn Collaborate closely with recruiters and hiring managers to keep processes efficient Help deliver a warm, clear, and consistent candidate experience What We’re Looking For 3+ years of experience in recruiting coordination, sourcing, or HR support Experience working at a Tier 1 company Comfortable with phone-based communication (and not afraid to follow up) Highly organized and proactive; strong attention to detail Experience with Greenhouse, Instahyre, or LinkedIn is a plus Friendly, thoughtful communicator who can represent Arcana well

Arcana is a portfolio intelligence platform used by hedge funds and asset managers to analyze performance and risk. We’re rethinking the tools institutional investors rely on—and we’re hiring analysts who want to drive that transformation. This isn’t a typical modeling-and-memos analyst role. Our analysts work directly with product, engineering, and data science to shape institutional-grade financial software. If you’re an analyst looking for more impact, more ownership, and the chance to help shape real tools for investors—we’d love to talk. Responsibilities Collaborate with product, engineering, and data science teams to build robust portfolio intelligence tools and analytics components Analyze portfolio- and security-level performance, risk, and attribution Decompose returns to identify key drivers of alpha, beta, and idiosyncratic outcomes Conduct market, macroeconomic, and security-level research to support client workflows and product insights Validate, interpret, and clearly communicate financial metrics to both internal stakeholders and clients Requirements 1–3 years of experience in a front-office financial role (investment banking, hedge fund, asset management, or similar) Exceptional analytical and Excel skills, with strong proficiency in financial modeling and interpreting large datasets Deep understanding of core investment concepts: portfolio theory, risk attribution, yield, drawdown, correlation, and volatility Excellent at communicating with institutional clients—including portfolio managers, analysts, CIOs, and risk managers—with the ability to distill complex analysis into clear, actionable insights Demonstrated deep interest in financial markets, investment strategies, and institutional workflows Self-starter with the ability to work independently in a fast-paced, remote environment Familiarity with institutional investment processes, research platforms, and financial data tools Qualifications Bachelor’s or Master’s degree from a top-ranked university in Finance, Economics, Engineering, or a related field. Minimum GPA of 8.0+ (required), IIT/IIM/ISB preferred. CFA, FRM, or MBA is a strong plus Experience with tools like Bloomberg, FactSet, or data programming languages (Python, R) is a bonus