32 Data Reconciliation Jobs - Page 2

About this role: Wells Fargo is seeking a Risk Analytics Consultant. In this role, you will: Participate in less complex analysis and modeling initiatives, and identify opportunity for process production, data reconciliation, and model documentation improvements within Risk Management Review and analyze programing models to extract data, and manipulate databases to provide statistical and financial modeling, and exercise independent judgment to guide new and existing projects with medium risk deliverables Coordinate and consolidate the production of monthly, quarterly, and annual performance reports for more experienced management Present recommendations for resolving data reconciliation, production, and database issues Exercise independent judgment while developing expertise in policy governance, risk projects, and regulatory requests Collaborate and consult with peers, managers, experienced managers, compliance, including various lines of business Required Qualifications: 2+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Knowledge and understanding of Commercial Banking practices, policies, and procedures. Management experience leading teams of analysts / risk professionals Ability to contribute to strategic decisions and coordinate with multiple stakeholders. Develop consensus and gain buy-in for strategic priorities. Strong project management skills with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment. Strong ability to develop partnerships and collaborate with other business and functional area. Excellent verbal, written, and interpersonal communication skills. Ability to identify and evaluate trends, isolate root cause, and provide swift/thorough resolution. Knowledge and understanding of the key factors impacting credit offerings, including credit risks and regulatory requirements. Ability to develop partnerships and collaborate with other business and functional areas. Understanding of risk management practices, extensive knowledge of financial data Strong communication, interpersonal and leadership abilities. Lead projects individually and come up with solutions with little to no support from anyone. Job Expectations: Masters/Bachelors degree in a quantitative field such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences Relevant experience in BFSI domain. 2+ years of experience in SQL and big data platforms and one of the visualization tools like Power BI or Tableau. 2+ years of Credit Risk experience. Strong Credit Risk analytics skills and comprehensive understanding of commercial products and risk drivers Ability to design and structure complex data & modeling framework for monitoring and analytical reporting. Ability to lead project teams and coordinate with multiple stakeholders.

In this role, you will: Participate in less complex analysis and modeling initiatives, and identify opportunity for process production, data reconciliation, and model documentation improvements within Risk Management Review and analyze programing models to extract data, and manipulate databases to provide statistical and financial modeling, and exercise independent judgment to guide new and existing projects with medium risk deliverables Coordinate and consolidate the production of monthly, quarterly, and annual performance reports for more experienced management Present recommendations for resolving data reconciliation, production, and database issues Exercise independent judgment while developing expertise in policy governance, risk projects, and regulatory requests Collaborate and consult with peers, managers, experienced managers, compliance, including various lines of business Required Qualifications: 2+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Experience in Loss Forecasting , CCAR Reporting, Stress testing or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Expertise in few programming and statistical packages - SAS , SQL Advanced expertise in MS office tools including Excel and Powerpoint Strong analytical and problem-solving skills with keen attention to detail Model review and ability to analyze and challenge model parameters and assumptions Understand business objectives and provide challenge to requirements. Knowledge and understanding of credit risk, loss forecasting, and related governance policies. Verify sound analysis practices and data decisions were leveraged throughout planning and data sourcing phases. Conduct in-depth research within complex data environments to identify data integrity issues and propose solutions to improve accuracy. Ensure comprehensive documentation exists supporting the end-to-end data reporting and analysis approach and execution. Understanding of complex databases and ability to navigate and query data effectively. Apply critical evaluation to challenge assumptions, formulate a defendable hypothesis, and ensuring high quality results. Ensure adherence to data management/ model governance regulations and policies. Ensure adherence to compliance and legal regulations and policies on all projects managed Collaborate and consult with peers, colleagues, and more experienced managers to resolve issues and achieve goals. Understanding in Python, Tableau, PowerBI will be an added advantage

In this role, you will: Participate in less complex analysis and modeling initiatives, and identify opportunity for process production, data reconciliation, and model documentation improvements within Risk Management Review and analyze programing models to extract data, and manipulate databases to provide statistical and financial modeling, and exercise independent judgment to guide new and existing projects with medium risk deliverables Coordinate and consolidate the production of monthly, quarterly, and annual performance reports for more experienced management Present recommendations for resolving data reconciliation, production, and database issues Exercise independent judgment while developing expertise in policy governance, risk projects, and regulatory requests Collaborate and consult with peers, managers, experienced managers, compliance, including various lines of business Required Qualifications: 2+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desires Qualifications: Experience in Loss Forecasting, CCAR Reporting, Stress testing or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Expertise in few programming and statistical packages - SAS, SQL Advanced expertise in MS office tools including Excel and Powerpoint Desired Qualifications: Strong analytical and problem-solving skills with keen attention to detail Model review and ability to analyze and challenge model parameters and assumptions Understand business objectives and provide challenge to requirements. Knowledge and understanding of credit risk, loss forecasting, and related governance policies. Verify sound analysis practices and data decisions were leveraged throughout planning and data sourcing phases. Conduct in-depth research within complex data environments to identify data integrity issues and propose solutions to improve accuracy. Ensure comprehensive documentation exists supporting the end-to-end data reporting and analysis approach and execution. Understanding of complex databases and ability to navigate and query data effectively. Apply critical evaluation to challenge assumptions, formulate a defendable hypothesis, and ensuring high quality results. Ensure adherence to data management/ model governance regulations and policies. Ensure adherence to compliance and legal regulations and policies on all projects managed Collaborate and consult with peers, colleagues, and more experienced managers to resolve issues and achieve goals. Understanding in Python, Tableau, PowerBI will be an added advantage. Job Expectations: Lead or participate in moderately complex initiatives, and delivering insight and decision strategies within Loss Forecasting, and contribute to Loss Forecasting submissions Review and analyze moderately complex data aggregation, forecasting, reporting, and programming models. Review Loss Forecasting quantitative and qualitative models Be responsible for process production, data reconciliation, and model documentation in alignment with policy governance Resolve data, production, business modeling, and lead team to meet Loss Forecasting deliverables while leveraging solid understanding of risk reporting policies, modeling strategies, procedures, regulatory requests, and compliance requirements Collaborate and consult with peers, experienced managers, compliance, and technology to resolve modeling, forecasting, and production issues, and achieve analytic and reporting goals within tight deadlines Partner with cross enterprise risk analysts in development of common modeling strategies

Role & responsibilities MIS, REPORTING, BRS Preferred candidate profile

Description - External Job Summary We are seeking a Senior Process Executive - L&P with 2 to 3 years of experience in Data Reconciliation. Associate should have good analytical skills. This role requires working from the office during night shifts. Proficiency in English is essential. Responsibilities Oversee the reconciliation process to ensure accuracy and compliance with company standards. Manage premium accounts and ensure timely processing of payments. Analyze data to identify trends and discrepancies in financial records. Collaborate with team members to improve process efficiency and effectiveness. Provide detailed reports on reconciliation and premium management activities. Utilize data analytics tools to support business decisions and strategies. Ensure all financial transactions are recorded accurately and in a timely manner. Support the implementation of new processes and systems to enhance operational efficiency. Communicate effectively with stakeholders to resolve any issues related to reconciliation and premium management. Maintain up-to-date knowledge of industry best practices and regulatory requirements. Assist in the training and development of junior team members. Participate in regular team meetings to discuss progress and share insights. Contribute to the continuous improvement of processes and systems within the department. Qualifications Possess a strong understanding of data analytics and its application in business processes. Demonstrate expertise in reconciliation and premium management. Have experience in Emp/Grp bfts F&A is a plus. Exhibit excellent communication skills in English both written and spoken. Show proficiency in using data analytics tools and software. Display strong analytical and problem-solving skills. Maintain a high level of attention to detail and accuracy. Be able to work effectively in a team-oriented environment. Have the ability to manage multiple tasks and meet deadlines. Show a proactive approach to identifying and resolving issues. Demonstrate a commitment to continuous learning and professional development. Possess good organizational and time management skills. Be willing to work night shifts from the office.

We are currently onboarding a talented Accountant. Responsibilities will include providing financial insights and projections to the accounting team. You will provide reliable data and analysis to be used in decision-making and planning. You will prepare accurate monthly financial reports, assist in the preparation of presentations that provide thoughtful analysis, identify action items, and effectively frame decisions that need to be made. Roles & Responsibilities Experience in Cash & Bank Accounting Data entry experience. Good exposure to BRS Should have experience in Debit Note & Credit Note Accounting Should have managed Inventory Accounting (Purchase, Sales, GRN - Must) Candidates with Manufacturing Accounting Experience are preferred. Transaction Clarity on taxable & non-taxable expenditure, Disallowances & basis for the same. Eligibility Criteria B. Com / M. Com / MBA Finance. 4+ years of experience post article ship Preferably experience from the manufacturing or FMCG sector Required Soft Skills Good Communication & Leadership skills Highly motivated, creative thinker, self-starter, and fast learner with demonstrated analytic and quantitative skills. Good at time management, verbal, and written communication skills.

Manage CAPEX system, ensure timely data updates, conduct training, handle audits, and support financial decisions through analysis and reconciliation. Requires 2+ yrs in finance, Excel skills, and strong communication in English. Required Candidate profile 2 years of experience in financial analysis, CAPEX management, or a similar role. Strong analytical and problem-solving skills with a keen attention to detail.