Urwah Admin

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 Design and build credit risk scorecards (application, behavioral, and collections scorecards) to predict creditworthiness and optimize account management strategies.
 
 
 Extract, clean, and preprocess data from various sources using SQL.
 
 
 Develop and implement machine learning models for collections performance and delinquency prediction using Python (including libraries like pandas, scikit-learn).
 
 
 Monitor model performance, conduct backtesting, recalibration, and validation adhering to regulatory standards.
 
 
 Collaborate with business and data teams to translate credit risk requirements into modeling specifications.
 
 
 Document modeling processes, assumptions, and results for internal governance and audit purposes.
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Senior Manager-Data Science-Data Scientist

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 Job Description Generative AI Expert and Lead &ndash; band B2/C1 Location: India (Hybrid) Role and Responsibilities: SME for clients: Serve as the primary point of contact for clients in Gen AI needs, including senior executives, to understand their needs and deliver tailored generative AI solutions. Project Leadership: Lead multiple generative AI projects, ensuring timely delivery and high-quality outcomes. Define project deliverables, timelines, and methodologies. Team Management: Manage and mentor a team of AI specialists, fostering a collaborative and innovative environment. Solution Design: Architect and implement advanced generative AI models, including GANs, VAEs, and transformer-based models, to solve complex business problems. Thought Leadership: Provide strategic insights and thought leadership in generative AI, driving innovation and best practices within the organization. Technical Expertise: Stay abreast of the latest advancements in generative AI and machine learning, integrating cutting-edge technologies into projects. Qualifications: Educational Background: Master's or PhD in computer science, engineering, mathematics, or related fields from top-tier institutions. Experience: 8+ years of experience in AI and machine learning, with a focus on generative AI, deep learning, and NLP. Proven track record in delivering generative AI projects. Technical Skills: Proficiency in Python, TensorFlow, PyTorch, Keras, and cloud platforms (AWS, Azure, GCP). Experience with large-scale data processing and model deployment. Certifications: Relevant certifications in AI and machine learning, such as TensorFlow Developer Certificate, AWS Certified Machine Learning &ndash; Specialty, or similar. (Preferred not mandatory) Leadership: Demonstrable leadership ability, with experience managing and mentoring teams. Problem-Solving: Superior problem-solving skills, with a track record of delivering innovative generative AI solutions. Communication: Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Industry Knowledge: Deep understanding of industry trends and challenges in generative AI and machine learning.
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Senior Manager

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 Need to work along with client team of a specific region.
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 Need to communicate to the client on a regular basis through e-mail and telephone.
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 Weekly/daily calls on a regular basis
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 Flexible to work in any shift &amp; open to putting in extra hours when required
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 Processing of all kind of AP invoices received from the client
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 Experience on Payment processing
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 Knowledge on MS office and reporting
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 T&amp;E process experience &ndash; T&amp;E Policy Audit
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 Month-end responsibilities include ensuring that all invoices are processed by month-end
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 Recognize and escalate urgent/sensitive issues to Manager
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 Ensure SLA target are achieved
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 Vendor Management &amp; Query Resolution
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 Knowledge of MS Word, MS Outlook, MS Access &amp; MS Excel
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 MS Dynamics experience will be an added advantage
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 Prior experience in Accounts Payable 1-3 yrs - Associate
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 Good communication skills both written &amp; oral, as this is client facing role
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Senior Executive-Procure to Pay-Invoice Processing-Complex

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 Role: Data Analyst Experience: 6+ Years Location: Gurgaon (Work form office 2 days in a Week)
 
 
 
 Key Responsibilities
 
 
 
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 Work with large transactional datasets to perform deep-dive analysis and generate insights.
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 Write and maintain complex SQL queries, stored procedures, and scripts.
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 Optimize queries using performance tuning techniques and SQL best practices.
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 Work extensively with Window Functions, Joins, CTEs, Subqueries etc.
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 Collaborate with cross-functional teams to understand data needs and deliver analytical outputs.
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 Ensure data quality, accuracy, and availability for reporting and dashboards.
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 Perform query optimization and improve overall database/data process performance.
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 Build reusable data models, datasets, and analytical frameworks.
 
 
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 Required Skills
 
 
 
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 5&ndash;10 years of experience as a Data Analyst / SQL Developer.
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 Strong expertise in working with Transactional Data.
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 Excellent command over SQL, including Window Functions, CTEs, Aggregations, and complex logic building.
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 Proven experience in Performance Tuning &amp; Query Optimization.
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 Strong analytical thinking and problem-solving abilities.
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 Good understanding of relational database concepts and data warehousing fundamentals.
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 Exposure to BI/reporting tools is an added advantage.
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Senior Business Analyst

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 Handle complex healthcare cases such as claims rework, provider appeals, and documentation analysis with minimal supervision.
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 Retrieve supporting documents from various systems, create appropriate case files, and ensure accurate attachment and classification.
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 Analyze each case to determine resolution or escalation to Subject Matter Experts (SMEs).
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 Implement SME guidance to complete case processing effectively and accurately.
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 Generate customer communication letters and ensure timely dispatch as per process requirements.
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Senior Associate-Back Office-Customer Service

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 Quality Analysts design and execute test cases to ensure the quality and functionality of software applications. Responsibilities include identifying defects, collaborating with developers to resolve issues, and documenting test results. You will work closely with stakeholders to understand requirements and ensure that applications meet quality standards. Proficiency in testing tools and methodologies is essential.
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Quality Analyst-Tester-Tester / Quality analyst

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 **Immediate Joiners Preferred
 
 
 
 Job Overview:
 
 
 The job requires understanding the business and framing the business requirement as a data analytics problem statement. The individual will be responsible for providing business insights and managing end-to-end project delivery. The job requires building relationships with the client and presenting work directly to clients. The individual should effectively collaborate with team members around problem structuring and use of analytics (tools and techniques) to carry out analysis. The individual will be responsible for project delivery and gathering client feedback.
 
 
 Key Responsibilities:
 
 
 &middot; Lead and manage analytics projects focused on banking/financial sectors.
 
 
 &middot; Marketing analytics experience, managed and optimized marketing campaigns
 
 
 &middot; Utilize strong Python skills to develop analytical models and tools.
 
 
 &middot; Collaborate with cross-functional teams to identify business challenges and deliver actionable insights.
 
 
 &middot; Engage with clients to understand their needs, present findings, and recommend solutions.
 
 
 &middot; Oversee project timelines, budgets, and resources to ensure successful project delivery.
 
 
 &middot; Mentor and guide junior team members in analytics methodologies and tools.
 
 
 &middot; Stay updated on industry trends and best practices to enhance service offerings.
 
 
 
 
 
 Qualifications:
 
 
 &middot; Bachelor's degree in a related field (e.g., Computer Science, Data Science, Business Analytics).
 
 
 &middot; Approximately 2 years of experience in banking analytics and/or marketing analytics.
 
 
 &middot; Strong proficiency in Python for data analysis and/or model development.
 
 
 &middot; Excellent problem-solving skills with a proven ability to tackle complex business challenges.
 
 
 &middot; Experience in client management and effective presentation of analytical findings.
 
 
 &middot; Strong project management skills with a track record of delivering projects on time and within budget.
 
 
 &middot; Exceptional communication skills, both written and verbal.
 
 
 
 
 
 Preferred Skills:
 
 
 &middot; Comprehensive marketing experience from targeting, campaign execution, insight generation through a measurement framework and subsequent optimization skill is good to have
 
 
 &middot; Experience with exploratory data analysis, feature engineering, pivots, and data summarization is required.
 
 
 &middot; Understanding basic statistical techniques like t-tests, chi-square tests, hypothesis testing, A/B testing, regression analysis, etc.
 
 
 &middot; Familiarity with statistical analysis and machine learning concepts.
 
 
 &middot; Understanding of banking and financial services.
 
 
 &middot; Experience of programing in PySpark is good to have.
 
 
 &middot; Experience with data visualization tools (e.g., Tableau, Power BI).
 
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Marketing Consultant

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