Data Analyst Recruiters
for Analytics Hiring

• Business Development: Achieve revenue targets, lead marketing efforts, identify growth opportunities, and represent the company in the market.
• Project Excellence: Manage projects effectively, deliver quality work in areas like job evaluation, executive compensation, and rewards surveys.
• Client & Team Engagement: Mentor junior staff, foster client relationships, support project delivery, and contribute to business growth strategies.

• Qualified Chartered Accountant
• Post qualification experience in direct tax of at least 3 to 4 years
• Experience in handling transaction tax/ M&A matters

• Analyze mortality experience for both individual and group business.
• Calculate persistency rates to monitor policyholder retention.
• Prepare presentations for the Enterprise Risk Management Committee, highlighting key risks.
• Collaborate with Valuation and Shareholder Reporting teams to set actuarial assumptions for mortality, lapse, surrender, and paid-up experiences.
• Draft Chapter 3 (Analysis of Experience) for the Appointed Actuary’s Annual Report.
• Prepare the Persistency Report for submission to IRDA.

• Modifications of existing products
• ∙Providing support for launching new products
• ∙Providing support for Day2 system set up
• ∙Co-ordinating with different teams such as product, IT, Legal, UW etc ,
• Reinsures for finalising product.
• ∙Knowledge on Prophet can be looked up as an additional skill.

• Model Development: Develop, implement, and maintain credit risk models (PD, LGD, EAD) using SAS and SQL.
• Data Analysis: Extract, clean, and analyze large datasets to support model development and validation processes.
• Risk Assessment: Conduct thorough risk assessments and scenario analyses to evaluate the impact of various credit risk factors.
• Model Validation: Perform model validation and back-testing to ensure the accuracy and robustness of credit risk models.
• Reporting: Prepare detailed reports and presentations on model performance, validation results, and risk assessment outcomes.
• Regulatory Compliance: Ensure models comply with relevant regulatory requirements and internal policies.
• Collaboration: Work closely with cross-functional teams including Risk Management, Finance, and IT to integrate credit risk models into business processes.
• Documentation: Maintain comprehensive documentation of model development processes, assumptions, and methodologies.

• Manage end-to-end delivery of analytics service engagements for a US-based banking client.
• Work with large and complex datasets, including handling multiple data sources, assessing data quality, and collaborating with client data owners to resolve issues.
• Understand mainframe data systems, mine data to diagnose issues, identify resolution pathways, and implement solutions.
• Lead teams of analysts to structure business problems, develop analytical methodologies, and ensure quality control of results.
• Execute analytical methodologies on analytics platforms and develop custom scripts as needed.
• Generate detailed documentation of analysis while ensuring compliance with relevant policies.
• Create executive-level business presentations that diagnose problems, outline resolution strategies, and provide actionable business recommendations.
• Use analytical tools (e.g., Python, SQL, PySpark) to perform in-depth analysis and derive insights.
• Translate complex technical findings into clear, concise business language for effective presentation.
• Manage multi-tier client engagements with a focus on program execution and delivery excellence.
• Maintain high levels of client satisfaction and ensure strong Net Promoter Scores (NPS).

• Review & finalization of assurance engagements (including group reporting).
• Support seniors and independently work on business development initiatives including preparation of proposals and budgets.
• Ensure 100% adherence to quality procedures in order to ensure high impact deliverables for the clients.
• Work towards self & team development by facilitating and attending training & seminars on assurance practice & accounting standards.
• Work under strict deadlines and demanding client conditions.
• Day to day guidance to Manager/AM/consultants working in the team.
• Management of time and cost on the project code.
• Timely billing and collections from the clients.
• Should be willing to travel as and when required within the country and abroad for continuous/ long period of time.

• Perform end-to-end internal audits from planning to reporting including process understanding, walkthroughs, preparation of risk and control matrix / audit work program, control testing to assess their design and operating effectiveness, preparation of audit report and agreeing issues/actions with management.
• Have an in-depth understanding of the asset management industry risks/issues/trends and end-to-end investment process (front, mid and back office processes) for all asset classes including fixed income, equities, derivatives, real estate, private equity/hedge funds and alternatives.
• Have thorough knowledge and understanding of Internal Audit and SOX/ ICFR methodology and IIA requirements.
• Deliver/manage engagements to time, cost and high quality.
• Identify key areas of improvement in the client’s business processes and add value by preparing insightful recommendations.
• Contribute to business development activities such as preparing proposals, lead identification.
• Always comply with the firm’s quality and risk management policies.

• Provide high quality, professional day-to-day execution of client engagements, and projects for the financial services practice
• Develop engagement work programs, assist in conducting risk assessments, documentation of working papers and preparation of audit committee presentations
• Shall be responsible for client relationship management, team management along with ability to handle multiple client engagements
• Understand client needs and challenges and identify revenue opportunities for the firm
• Work on project teams focused on advisory projects and assist engagement management to successfully complete engagement objectives
• Understand firm service offerings and mentor associates, interns, and new hires.

• Lead the implementation of Akur8’s pricing solution, ensuring seamless system integration
• Conduct pricing analysis and develop actuarial models for risk forecasting
• Collaborate with underwriting teams to set pricing guidelines and ensure regulatory compliance
• Monitor and analyze market trends to make data-driven pricing decisions
• Act as a subject matter expert, assisting sales teams in identifying use cases for Akur8
• Recommend new features and improvements based on client feedback and industry trends

Key Requirements:

* Actuarial papers from IAI, IFOA, or CAS preferred.
* 4-12 years of relevant experience as an Actuarial/Business Analyst, Product Owner/Manager, or similar role in software development or the technology industry.
* Strong background in P&C insurance and financial risk exposure rating.
* Proven expertise in Agile methodologies (Scrum, Kanban) and experience working in Agile environments.

Responsibilities:

* Collaborate with technical teams to design, refine, and validate reinsurance pricing models, including exposure rating, treaty pricing, and risk evaluation.
* Work closely with actuarial teams to integrate loss cost models, trends, and risk parameters into reinsurance pricing tools.
* Utilize reinsurance pricing models to identify underperforming layers/treaties and recommend improvement strategies.
* Analyze large datasets to extract insights that drive process enhancements, reinsurance pricing optimization, and portfolio management.
* Oversee the solution development lifecycle, including documentation, testing, and user training.

Key Requirements:

* 7-12 years of experience in Data Engineering, working with Databricks & Cloud technologies.
* Strong proficiency in PySpark, Python, and SQL.
* Extensive experience in data modeling, ETL/ELT pipeline development, and automation.
* Hands-on experience with performance tuning of data pipelines and workflows.
* Proficient in Azure cloud components (Azure Data Factory, Azure Data Bricks, Azure Data Lake).
* Expertise in Delta Lake, data warehousing, ETL processes, and data modeling.
* Experience with Delta Live Tables, Autoloader & Unity Catalog.
* Strong analytical skills with the ability to collect, organize, analyze, and interpret data accurately.

Responsibility-

1.Collaborate with data analysts, reporting team and business advisors to gather requirements and define data models that effectively support business requirements.
2.Develop and maintain scalable and efficient data pipeline to ensure seamless data flow across various systems address any issue or bottleneck in existing pipelines.
3.Implement robust data checks to ensure the accuracy and integrity of data. Summarize and validate large database to ensure they meet quality standards.
4.Monitor data jobs for successful completion. Troubleshoot and resolve any issue that arise to minimize downtime and ensure continuity of data processes.
5.Regularly review and audit data processes and pipelines to ensure compliance with internal standards and regulatory requiremnets.
6.Familiar with working on Agile methodologies-scrum, sprint planning, backlog refinement etc

• Knowledge of security measures and auditing practices within various operating systems, databases and applications.
• Experience in assessing risks across a variety of business processes.
• Experience of working on Financial Services sector clients.
• Experience in identifying control gaps and communicating audit findings and control redesign recommendations to Sr. Management and Clients.
• Hands on experience of working on IT General Controls, IT Application controls testing, IT Internal Audits, IT Risk Assessments, Third Party Risk Management.

• Review & finalization of assurance engagements (including group reporting).
• Support seniors and independently work on business development initiatives including preparation of proposals and budgets.
• Ensure 100% adherence to quality procedures in order to ensure high impact deliverables for the clients.
• Work towards self & team development by facilitating and attending training & seminars on assurance practice & accounting standards.
• Work under strict deadlines and demanding client conditions.
  Day to day guidance to Manager/AM/consultants working in the team.
• Management of time and cost on the project code.
• Timely billing and collections from the clients.
• Should be willing to travel as and when required within the country and abroad for continuous/ long period of time.

• Lead and mentor a team of 5-8 tax professionals, fostering a high-performance work environment.
• Finalize and review income tax computations, advance tax, TDS returns, and compliance under the Income Tax Act.
• Oversee tax submissions, handle assessments and appellate proceedings, and represent clients before tax authorities.
• Build strong client relationships by delivering high-quality services within contract terms.
• Provide expert guidance to the team and optimize tax processes using technology.
• Stay updated on tax regulations, industry trends, and best practices.
• Contribute to knowledge-sharing initiatives and improve service delivery methods.

• Ability to multi-task and handle client conversations
• Team player
• Self-driven
• Ability to work independently in a dynamic environment and changing priorities and motivate team members
• Strong understanding and knowledge of Accounting and Financial Process, Risk and Controls
• Strong working knowledge of PDF, Visio, MS-Excel and MS-Word
• Good written and spoken communication
• Experience of working in Global clients or Global projects (desirable).
• Project Management skill (desirable).

• Validation/development of valuation models across asset classes – equities,
  commodities, rates, credit, mortgages
• Development, testing and validating pricing models using
  C++/Python/R/client- proprietary tools
• Basic understanding of Mathematics and statistics in terms of linear
  algebra, probability theory
• Basic understanding of fixed income and equity derivatives, volatility
  surfaces, interest rate curve construction and Greeks
• Good understanding of workings of a Bank (processes, Committees, systems
  etc.) and Banking products across fixed income, derivatives, retail etc.
• Understanding of VaR and different VaR modelling and backtesting techniques
• Understanding of statistical concepts/ time series modelling
• Experience in Python/C++