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13.0 - 18.0 years

12 - 18 Lacs

Bengaluru

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Skill required: Delivery - Data Analysis & Interpretation Designation: I&F Decision Sci Practitioner Manager Qualifications: Any Graduation Years of Experience: 13 to 18 years About Accenture What would you do Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Song, Technology, Industry X and Operations services all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 800,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.In todays business environment, growth isnt just about building value - it s fundamental to long-term business survival. So how do organizations sustain themselvesThe key is a new operating modelone that s anchored around the customer and propelled by intelligence to deliver outstanding experiences across the enterprise at speed and at scale. You will deliver breakthrough business outcomes for clientsby harnessing talent, data and intelligence to redefine their operating models.Within Operations, our Sales Operations Transformation team is rapidly expanding. What are we looking for Strong background in Sales Operations, CRM data, and sales process optimization. Proven experience in data analytics, data science, and business intelligence. Proven experience in leading teams that deliver both advanced statistical models and interactive dashboards. Deep understanding of Python (Pandas, NumPy, Scikit-learn) for data modeling and analytics. Strong command over Power Query, Power Pivot, Power BI and BI architecture for visual storytelling and dashboarding. Hands-on experience with SQL, data management, and data modeling practices. Excellent stakeholder management and communication skills. Experience working with global, cross-functional teams. Proficiency in Microsoft Excel for data analysis and reporting. Experience in driving transformation initiatives through automation and advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), and systems integration. Roles and Responsibilities: Lead the end-to-end delivery of AI, analytics, and visualization solutions across sales operations workstreams. Align team objectives with Sales Excellence and Sales Transformation strategy Drive solution design, data strategy, and execution across data science and BI tracks. Oversee solution scalability, reusability, and integration into business processes. Manage, mentor, and grow a high-performing team including L8/L9 Data Scientists and Power BI developers. Provide technical and functional guidance to team members. Conduct regular performance reviews, skill development sessions, and team health checks. Oversee capacity planning and work allocation. Collaborate with senior business leaders, sales stakeholders, and global teams to define problem statements, KPIs, and success metrics. Serve as the client-facing SME for all analytics and visualization needs in the sales domain. Ensure strong communication of findings, models, and visualizations through effective storytelling. Ensure high-quality delivery of data science models (predictive, diagnostic, prescriptive) and dashboards. Review and validate model outcomes, dashboards, and visual designs. Encourage adoption of best practices in code management, versioning, and model documentation. Ensure data quality, governance, and secure access across platforms. Qualification Any Graduation

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4.0 - 6.0 years

7 - 17 Lacs

Hyderabad

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About this role: Wells Fargo is seeking a Senior Risk Analytics Consultant In this role, you will: Lead or participate in moderately complex initiatives, and delivering insight and decision strategies within analytics and reporting, and contribute to large-scale planning related to Risk Analytics Review and analyze moderately complex data aggregation, forecasting, reporting, and programming 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 Risk Analytics 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 Lead projects, teams, and mentor less experienced staff Partner with cross enterprise risk analysts in development of common modeling strategies Required Qualifications: 4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

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2.0 - 6.0 years

7 - 17 Lacs

Bengaluru

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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.

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