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BlackRock

Runs investment funds and sells risk software

Risk & Quantitative Strats - Private Financing Solutions, Pfs

Risk ManagementConfirmed live in the last 24 hours
Full-timeMumbai, Maharashtra, IndiaNo salary listed

About the Job

Requirements

  • A bachelor's degree in Business, Finance, Economics, Statistics, Mathematics, Engineering, Computer Science, or a related field is required.
  • Associate-level candidates need 3–6 years of experience, and Vice President-level candidates need 7 or more years of experience in project management, process management, operations, data quality, risk analytics, or a related business-support function.
  • Working knowledge of statistics and credit-risk concepts, including rating migration and downgrade risk, is required.
  • Advanced Microsoft Excel and PowerPoint skills and practical experience using Python and SQL are required.
  • Intermediate to advanced proficiency with project-management tools such as Asana or JIRA is required.
  • Strong coordination, written and verbal communication, and presentation skills are required.
  • Strong organizational ability, attention to detail, and analytical problem-solving skills are required.
  • The ability to work autonomously, manage competing priorities, and deliver with limited handholding is required.

Responsibilities

  • Execute and coordinate recurring Quant Credit pod processes, including data preparation, validation, portfolio monitoring, and reporting activities.
  • Maintain process calendars, checklists, trackers, and operating documentation to ensure deliverables are completed accurately and on time.
  • Monitor daily and periodic workflows, identify exceptions or breaks, and coordinate timely follow-up with appropriate stakeholders.
  • Serve as a point of contact for routine process questions, status updates, and operational support.
  • Perform recurring reconciliations across source systems, databases, analytical outputs, and reporting files to assess accuracy, completeness, and consistency.
  • Investigate data mismatches, missing records, stale inputs, and other exceptions; document findings and support root-cause analysis and remediation.
  • Maintain evidence of data checks, exceptions, resolutions, and approvals to support control, governance, and auditability requirements.
  • Track data-quality issues and trends, escalate material exceptions, and follow through with business and technology teams until resolution.
  • Support testing and validation of data changes, process enhancements, and model or reporting updates before production use.
  • Support recurring credit-risk analytics and portfolio monitoring, including rating migration, downgrade-risk, and related surveillance metrics.
  • Prepare analyses, management information, presentation materials, and status updates for business and risk stakeholders.
  • Respond to ad hoc data and analytical requests by gathering requirements, validating outputs, and communicating results.
  • Develop an understanding of private credit portfolios, underlying data, analytical methodologies, and downstream reporting requirements.
  • Support projects from requirements gathering and planning through testing, implementation, and post-launch monitoring.
  • Coordinate actions, milestones, risks, dependencies, and decisions using project-management tools such as Asana or JIRA.
  • Work with business, risk, data, and technology teams to translate operational needs into clear requirements and practical solutions.
  • Identify opportunities to simplify, standardize, or automate recurring workflows using Excel, SQL, and, where applicable, Python.
  • Use AI-enabled tools such as Microsoft Copilot to streamline recurring workflows, reduce manual effort, identify and alleviate operational bottlenecks, and improve process efficiency.
  • Prepare concise process documentation, user guides, meeting materials, and presentations to support stakeholder alignment and adoption.

Desired Qualifications

  • Hands-on experience with Python or another programming language is preferred.
  • Experience performing data reconciliations, investigating exceptions, or supporting data-control frameworks is preferred.
  • Experience using AI tools such as Microsoft Copilot to improve process efficiency, automate repetitive tasks, and resolve operational bottlenecks is preferred.
  • Exposure to private credit, investment operations, risk management, credit analytics, or financial-services data is preferred.
  • Experience supporting workflow automation, user acceptance testing, reporting enhancements, or technology-enabled change is preferred.
  • CFA charterholder status is preferred.

About the Company

BlackRock

Runs investment funds and sells risk software

BlackRock manages money for pension funds, governments, insurers, and everyday savers, and sells the software it uses to run those investments to other firms. In 2009, its purchase of Barclays Global Investors brought in the iShares fund family and made BlackRock the world's largest asset manager. Its iShares exchange-traded funds trade like stocks and mostly track market indexes, while its private funds lend to companies and invest in infrastructure and real estate. BlackRock charges a yearly fee on the money it manages, and banks, insurers, and other investors pay to use Aladdin, its system for measuring risk and running portfolios. Larry Fink and seven partners founded BlackRock in 1988, and it is based in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1988

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