Qureos Mentor

EXL Service

<div></div><div><div><div><div><div><div><div><div>Manager</div><p>EXL/M/1406117</p><ul>
ServicesGurgaon</ul></div><div><div><div><ul><div><div><div>
Posted On</div><div>
24 Sep 2025</div></div></div><div><div><div>
End Date</div><div>
08 Nov 2025</div></div></div><div><div><div>
Required Experience</div><div>
6 - 12 Years
</div></div></div></ul></div></div></div></div></div></div><p></p><div><div><p>
</p></div></div></div><p><div><div><div><div><div>Basic Section</div></div></div><div><div><p>
Number Of Positions</p><p>
1</p></div><div><p>
Band</p><p>
C1</p></div><div><p>
Band Name</p><p>
Manager</p></div><div><p>
Cost Code</p><p>
D011776</p></div><div><p>
Campus/Non Campus</p><p>
NON CAMPUS</p></div><div><p>
Employment Type</p><p>
Permanent</p></div><div><p>
Requisition Type</p><p>
New</p></div><div><p>
Max CTC</p><p>
1.0000 - 1.0000</p></div><div><p>
Complexity Level</p><p>
Not Applicable</p></div><div><p>
Work Type</p><p>
Hybrid &ndash; Working Partly From Home And Partly From Office</p></div></div></div><div><div><div><div>
Organisational</div></div></div><div><div><p>
Group</p><p>
Analytics</p></div><div><p>
Sub Group</p><p>
Analytics - AUS &amp; APAC</p></div><div><p>
Organization</p><p>
Services</p></div><div><p>
LOB</p><p>
Services</p></div><div><p>
SBU</p><p>
Analytics</p></div><div><p>
Country</p><p>
India</p></div><div><p>
City</p><p>
Gurgaon</p></div><div><p>
Center</p><p>
EXL - Gurgaon Center 38</p></div></div></div></div></p><div><div><div><div>
Skills</div></div><div><div><p>
Skill</p><div><p>
SNOWFLAKE
</p></div></div><div><p>Minimum Qualification</p><div><p>
B.TECH/B.E</p></div></div><div><p>
Certification</p><p>
No data available
</p></div></div></div></div><div><div><div><div>Job Description</div></div><div><p><b>
Job Summary</b>:</p><p>
We are seeking a highly skilled and experienced Snowflake Data Engineer (Manager level) to lead data engineering initiatives using Snowflake and related technologies. The ideal candidate will possess strong hands-on experience in modern data platforms, cloud data warehouses and team leadership. You will be responsible for designing, implementing and optimizing scalable data solutions to support advanced analytics, reporting and business intelligence needs.</p><p></p><p><b><br>
Key Responsibilities:</b></p><ul><li>
Design and development of scalable data pipelines using Snowflake.</li><li>
Architect, implement and maintain data models, data marts and data pipelines across structured and semi-structured data sources.</li><li>
Collaborate with data scientists, business analysts and application teams to understand data requirements and deliver fit-for-purpose solutions.</li><li>
Implement data governance and security best practices, including role-based access control, data masking and audit logging.</li><li>
Develop and optimize ELT/ETL workflows using Snowflake SQL, dbt, ADF, or other orchestration tools.</li><li>
Monitor and improve performance and cost-efficiency of Snowflake compute and storage usage.</li><li>
Mentor junior engineers and provide technical oversight on projects and best practices.</li><li>
Stay current with evolving technologies in cloud data engineering and recommend innovations as appropriate.</li><li>
Collaborate with data scientists, analysts, and stakeholders to gather requirements and define data models that effectively support business requirements</li><li>
Demonstrate decision-making, analytical and problem-solving abilities</li><li>
Strong verbal and written communication skills to manage client discussions</li><li>
Familiar with working on Agile methodologies - daily scrum, sprint planning, backlog refinement</li></ul><p></p><p><b><br>
Required Qualifications:</b></p><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, or a related field.</li><li>
8+ years of experience in data engineering or data warehousing, with at least 3+ years of hands-on experience with Snowflake.</li><li>
Strong experience in SQL, Python, and data pipeline development.</li><li>
Hands-on experience with cloud platforms (preferably Azure or AWS).</li><li>
Proficient in data modeling techniques, including star/snowflake schemas and slowly changing dimensions.</li><li>
Experience with data orchestration tools such as Apache Airflow, Azure Data Factory (ADF), or Informatica.</li><li>
Strong understanding of CI/CD, version control (Git), and DevOps practices in a data environment.</li></ul><p></p><p><b><br>
Preferred Skills:</b></p><ul><li>Experience with dbt (data build tool) for transformation logic.</li><li>Knowledge of data cataloging, lineage, and governance frameworks.</li><li>Exposure to BI tools like Power BI, Tableau, or Looker.</li><li>Familiarity with Delta Lake, Databricks, or BigQuery is a plus.</li></ul></div></div></div><div><div><div><div>
Workflow</div></div><div><div><p>
Workflow Type</p><div>
L&amp;S-DA-Consulting</div></div></div></div></div></div></div><p></p>

Manager

<div></div><div><div><div><div><div><div><div><div>Manager</div><p>EXL/M/1497626</p><ul>
Digital InsuranceNoida</ul></div><div><div><div><ul><div><div><div>
Posted On</div><div>
30 Sep 2025</div></div></div><div><div><div>
End Date</div><div>
14 Nov 2025</div></div></div><div><div><div>
Required Experience</div><div>
8 - 12 Years
</div></div></div></ul></div></div></div></div></div></div><p></p><div><div><p>
</p></div></div></div><p><div><div><div><div><div>Basic Section</div></div></div><div><div><p>
Number Of Positions</p><p>
1</p></div><div><p>
Band</p><p>
C1</p></div><div><p>
Band Name</p><p>
Manager</p></div><div><p>
Cost Code</p><p>
D015614</p></div><div><p>
Campus/Non Campus</p><p>
NON CAMPUS</p></div><div><p>
Employment Type</p><p>
Permanent</p></div><div><p>
Requisition Type</p><p>
New</p></div><div><p>
Max CTC</p><p>
1500000.0000 - 2500000.0000</p></div><div><p>
Complexity Level</p><p>
-</p></div><div><p>
Work Type</p><p>
Hybrid &ndash; Working Partly From Home And Partly From Office</p></div></div></div><div><div><div><div>
Organisational</div></div></div><div><div><p>
Group</p><p>
EXL Digital</p></div><div><p>
Sub Group</p><p>
Insurance</p></div><div><p>
Organization</p><p>
Digital Insurance</p></div><div><p>
LOB</p><p>
Digital Delivery Practice</p></div><div><p>
SBU</p><p>
Digital Finance Suite</p></div><div><p>
Country</p><p>
India</p></div><div><p>
City</p><p>
Noida</p></div><div><p>
Center</p><p>
Noida - Centre 59</p></div></div></div></div></p><div><div><div><div>
Skills</div></div><div><div><p>
Skill</p><div><p>
PYTHON
</p><p>MACHINE LEARNING
</p><p>AI
</p></div></div><div><p>Minimum Qualification</p><div><p>
BACHELORS</p></div></div><div><p>
Certification</p><p>
No data available
</p></div></div></div></div><div><div><div><div>Job Description</div></div><div><p>
 <b>Job Title: AI Lead</b></p><p><b>
Location:</b> Bangalore, Pune, Noida<br>
<b>Experience:</b> 10 &ndash; 12 years<br>
<b>Employment Type:</b> Full-Time</p><p><b>
About the Role:</b></p><p>
We are seeking a visionary and hands-on <b>AI Lead </b>to drive the design, development, and deployment of cutting-edge AI solutions. The ideal candidate will possess deep expertise in <b>Python, APIs, system architecture, machine learning algorithms, generative AI, model training and fine-tuning, inferencing</b>, and <b>vision models</b>, while also demonstrating strong leadership and collaboration skills across full-stack teams.</p><p><b>
Key Responsibilities:</b></p><ul><li><b>
AI Strategy &amp; Leadership</b><ul><li>
Define and drive the AI roadmap aligned with business goals.</li><li>
Lead cross-functional teams in delivering scalable AI solutions.</li><li>
Mentor and guide junior data scientists and engineers.</li></ul></li><li><b>
Technical Execution</b><ul><li>
Architect and implement end-to-end AI systems, from data ingestion to model deployment.</li><li>
Design and develop robust APIs for model integration.</li><li>
Lead efforts in model training, fine-tuning, and inferencing across various domains including NLP and computer vision.</li><li>
Implement and maintain model observability frameworks for performance monitoring and drift detection.</li></ul></li><li><b>
Generative AI &amp; Vision Models</b><ul><li>
Build and optimize GenAI models (LLMs, diffusion models, etc.) for enterprise use cases.</li><li>
Develop and deploy computer vision models for image classification, object detection, OCR, etc.</li></ul></li><li><b>
Collaboration &amp; Integration</b><ul><li>
Work closely with full-stack engineering teams to integrate AI models into production systems.</li><li>
Collaborate with product managers, designers, and stakeholders to translate business needs into technical solutions.</li></ul></li><li><b>
System Design &amp; Scalability</b><ul><li>
Design scalable, secure, and maintainable AI architectures.</li><li>
Ensure high availability and performance of AI services in production.</li></ul></li></ul><p><b>
Required Skills &amp; Qualifications:</b></p><ul><li>
10+ years of experience in AI/ML, with at least 3 years in a leadership role.</li><li>
Strong proficiency in <b>Python</b>, including libraries like TensorFlow, PyTorch, Scikit-learn, FastAPI, etc.</li><li>
Deep understanding of <b>ML algorithms</b>, <b>model lifecycle</b>, and <b>MLOps</b>.</li><li>
Experience with <b>GenAI</b>, <b>LLMs</b>, <b>vision models</b>, and <b>fine-tuning techniques</b>.</li><li>
Expertise in <b>API development</b>, <b>system design</b>, and <b>cloud platforms</b> (AWS/GCP/Azure).</li><li>
Familiarity with <b>model observability tools</b> (e.g., Evidently AI, Arize, WhyLabs).</li><li>
Proven track record of working with <b>full-stack teams</b> and deploying AI models in production.</li><li>
Good understanding of AI Agentic stacks such as Langchain</li></ul><p><b>
Soft Skills &amp; Leadership Qualities:</b></p><ul><li>
Strong communication and stakeholder management skills.</li><li>
Ability to lead with empathy, inspire teams, and foster innovation.</li><li>
Strategic thinker with a bias for action and problem-solving.</li><li>
Passion for continuous learning and staying updated with AI trends.</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Master&rsquo;s or Bachelors in Computer Science, Data Science, AI/ML, or related field.</li><li>
Experience in regulated industries (e.g., finance, healthcare) is a plus.</li><li>
Contributions to open-source AI projects or research publications.</li></ul></div></div></div><div><div><div><div>
Workflow</div></div><div><div><p>
Workflow Type</p><div>
Digital Solution Center</div></div></div></div></div></div></div><p></p>

<div></div><div><div><div><div><div><div><div><div>Lead Assistant Manager</div><p>EXL/LAM/1505396</p><ul>
ServicesGurgaon</ul></div><div><div><div><ul><div><div><div>
Posted On</div><div>
10 Oct 2025</div></div></div><div><div><div>
End Date</div><div>
24 Nov 2025</div></div></div><div><div><div>
Required Experience</div><div>
5 - 10 Years
</div></div></div></ul></div></div></div></div></div></div><p></p><div><div><p>
</p></div></div></div><p><div><div><div><div><div>Basic Section</div></div></div><div><div><p>
Number Of Positions</p><p>
1</p></div><div><p>
Band</p><p>
B2</p></div><div><p>
Band Name</p><p>
Lead Assistant Manager</p></div><div><p>
Cost Code</p><p>
D014267</p></div><div><p>
Campus/Non Campus</p><p>
NON CAMPUS</p></div><div><p>
Employment Type</p><p>
Permanent</p></div><div><p>
Requisition Type</p><p>
New</p></div><div><p>
Max CTC</p><p>
1000000.0000 - 1500000.0000</p></div><div><p>
Complexity Level</p><p>
Not Applicable</p></div><div><p>
Work Type</p><p>
Hybrid &ndash; Working Partly From Home And Partly From Office</p></div></div></div><div><div><div><div>
Organisational</div></div></div><div><div><p>
Group</p><p>
Analytics</p></div><div><p>
Sub Group</p><p>
Analytics - UK &amp; Europe</p></div><div><p>
Organization</p><p>
Services</p></div><div><p>
LOB</p><p>
Analytics - UK &amp; Europe</p></div><div><p>
SBU</p><p>
Analytics</p></div><div><p>
Country</p><p>
India</p></div><div><p>
City</p><p>
Gurgaon</p></div><div><p>
Center</p><p>
EXL - Gurgaon Center 38</p></div></div></div></div></p><div><div><div><div>
Skills</div></div><div><div><p>
Skill</p><div><p>
MACHINE LEARNING
</p></div></div><div><p>Minimum Qualification</p><div><p>
B.COM</p></div></div><div><p>
Certification</p><p>
No data available
</p></div></div></div></div><div><div><div><div>Job Description</div></div><div><p><b>
Job Summary:</b><br>
We are looking for a motivated and skilled Machine Learning Engineer to join our team. The ideal candidate will have hands-on experience in building, deploying, and maintaining machine learning models and pipelines. You will collaborate closely with data scientists, software engineers, and product teams to turn data insights into scalable, production-ready solutions.</p><p><b>
Key Responsibilities:</b></p><ul><li><p>
Design, develop, and deploy machine learning models and algorithms for real-world applications.</p></li><li><p>
Collaborate with data scientists to understand model requirements and translate prototypes into production code.</p></li><li><p>
Preprocess, clean, and analyze large datasets to improve model performance and accuracy.</p></li><li><p>
Optimize and fine-tune models using hyperparameter tuning, feature engineering, and cross-validation.</p></li><li><p>
Build and maintain scalable data pipelines and automated workflows for model training and deployment.</p></li><li><p>
Monitor and troubleshoot deployed models, ensuring reliability and performance in production environments.</p></li><li><p>
Work with engineering teams to integrate ML solutions into existing products and services.</p></li><li><p>
Stay updated with the latest advancements in machine learning and apply best practices.</p></li></ul><p><b>
Qualifications:</b></p><ul><li><p>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.</p></li><li><p>
2-5 years of experience in machine learning or data science roles.</p></li><li><p>
Strong programming skills in Python and experience with ML libraries such as TensorFlow, PyTorch, scikit-learn, or similar.</p></li><li><p>
Solid understanding of machine learning concepts, algorithms, and statistical methods.</p></li><li><p>
Experience with data processing tools and frameworks (e.g., Pandas, NumPy, Spark).</p></li><li><p>
Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus.</p></li><li><p>
Knowledge of software engineering best practices, version control (Git), and CI/CD pipelines.</p></li><li><p>
Strong problem-solving skills and the ability to work both independently and collaboratively.</p></li></ul></div></div></div><div><div><div><div>
Workflow</div></div><div><div><p>
Workflow Type</p><div>
Back Office</div></div></div></div></div></div></div><p></p>

Lead Assistant Manager

<div></div><div><div><div><div><div><div><div><div>Senior Manager</div><p>EXL/SM/1501600</p><ul>
ServicesGurgaon</ul></div><div><div><div><ul><div><div><div>
Posted On</div><div>
07 Oct 2025</div></div></div><div><div><div>
End Date</div><div>
21 Nov 2025</div></div></div><div><div><div>
Required Experience</div><div>
5 Years
</div></div></div></ul></div></div></div></div></div></div><p></p><div><div><p>
</p></div></div></div><p><div><div><div><div><div>Basic Section</div></div></div><div><div><p>
Number Of Positions</p><p>
2</p></div><div><p>
Band</p><p>
C2</p></div><div><p>
Band Name</p><p>
Senior Manager</p></div><div><p>
Cost Code</p><p>
-</p></div><div><p>
Campus/Non Campus</p><p>
NON CAMPUS</p></div><div><p>
Employment Type</p><p>
Permanent</p></div><div><p>
Requisition Type</p><p>
New</p></div><div><p>
Max CTC</p><p>
0.0000 - 0.0000</p></div><div><p>
Complexity Level</p><p>
Not Applicable</p></div><div><p>
Work Type</p><p>
Hybrid &ndash; Working Partly From Home And Partly From Office</p></div></div></div><div><div><div><div>
Organisational</div></div></div><div><div><p>
Group</p><p>
Analytics</p></div><div><p>
Sub Group</p><p>
Analytics - UK &amp; Europe</p></div><div><p>
Organization</p><p>
Services</p></div><div><p>
LOB</p><p>
Consulting</p></div><div><p>
SBU</p><p>
Analytics</p></div><div><p>
Country</p><p>
India</p></div><div><p>
City</p><p>
Gurgaon</p></div><div><p>
Center</p><p>
EXL - Gurgaon Center 38-B</p></div></div></div></div></p><div><div><div><div>
Skills</div></div><div><div><p>
Skill</p><div><p>
MODEL DEVELOPMENT
</p><p>PYTHON
</p><p>ML
</p><p>SQL
</p></div></div><div><p>Minimum Qualification</p><div><p>
B.TECH/B.E</p></div></div><div><p>
Certification</p><p>
No data available
</p></div></div></div></div><div><div><div><div>Job Description</div></div><p></p><div><p><b>
Job Title: Machine Learning Modeler Lead &ndash; Banking &amp; Financial Services</b></p><p></p><p><b><br>
Location</b>: [Hybrid &ndash; GGN/BLR, WFH]</p><p><b>
Department</b>: Data Science / AI &amp; Advanced Analytics</p><p><b>
Employment</b> Type: Full-time</p><p></p><p><b><br>
Job Summary -</b></p><p>
We are seeking a highly skilled and experienced Machine Learning Modeling Lead to join our ML Model Innovation team within the banking domain (both retail transactional and lending). The ideal candidate will be responsible for leading the development and deployment of machine learning models that power key business decisions such as collections models, credit risk scoring, fraud detection, customer segmentation and personalized financial services. The Individual needs to have strong knowledge of banking business, data and domain, across the customer lifecycle as well as bureau/external data. He/she will collaborate with cross-functional teams and provide technical leadership to other ML modelers and data scientists.</p><p><b>
Key Roles and Responsibilities </b>-</p><ul><li>
Minimum Years of Experience: 8+ years in Retail banking</li><li>
Deep business expertise of the different business lines in the Retail banking Credit risk space across the customer lifecycle. Good hands-on knowledge of Banking strategies around Underwriting, Collection &amp; Recoveries, High-Risk Account Management (HRAM) and ECM Strategies.</li><li>
Knowledge of Fraud strategy and analytics in Retail banking domain an added advantage.</li><li>
Possesses end-to-end hands-on ML solution development experience, from data exploration, feature engineering, model development to validation, deployment and monitoring.</li><li>
Develop robust models to solve across the spectrum business problems and drive business benefits. Support and review junior data scientists&rsquo; submissions and share enhancement suggestions</li><li>
Responsible for documentation / reviews, model reviews and submission</li><li>
Responsible for managing queries raised by the model validation teams and defending the model/solution against internal MRM/audit teams.</li><li>
Collaborate with implementation teams to deploy models into production environments (cloud or on-premises).</li><li>
Work closely with business stakeholders to translate banking domain challenges into data-driven solutions.</li><li>
Guide junior data scientists and engineers on best practices in model development and MLOps</li><li>
Continuously evaluate new tools, technologies, and frameworks relevant to ML in finance.</li><li>
Publish internal research and promote a culture of innovation and experimentation.</li></ul><p></p><p><b><br>
Qualifications</b></p><p><b>
Education</b>:</p><ul><li>
Master&rsquo;s or Similar in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative field.</li></ul><p></p><p><b><br>
Experience</b>:</p><ul><li>
Strong business knowledge of banking analytics across the retail banking customer lifecycle.</li><li>
8+ years of experience in applied machine learning model development in the banking or financial services domain.</li><li>
Hands-on experience leading ML projects and teams.</li><li>
Strong experience with model development, deployment and monitoring in production environments.</li><li>
Familiarity with underwriting, collections, ECM, fraud and ethical considerations in banking ML models.</li></ul><p></p><p><b><br>
Skills</b>:</p><ul><li>
Expert in Python, SQL, ML libraries (Numpy, Pandas, Scikit-learn, TensorFlow, PyTorch) and techniques (Regression, Decision Trees, Ensembles: XGBoost, GBM, Random Forest, Unsupervised Learning, etc.).</li><li>
Knowledge of MLOps frameworks (MLflow, Kubeflow, Airflow, Docker, Kubernetes) is added benefit.</li><li>
Strong grasp of statistical modeling, optimization, and deep learning techniques.</li><li>
Excellent communication skills and ability to explain complex concepts to non-technical stakeholders</li></ul></div></div></div><p></p><div><div><div><div>
Workflow</div></div><div><div><p>
Workflow Type</p><div>
L&amp;S-DA-Consulting</div></div></div></div></div></div></div><p></p>

Senior Manager

<div></div><div><div><div><div><div><div><div><div>Assistant Manager</div><p>EXL/AM/1397287</p><ul>
ServicesGurgaon</ul></div><div><div><div><ul><div><div><div>
Posted On</div><div>
08 Oct 2025</div></div></div><div><div><div>
End Date</div><div>
22 Nov 2025</div></div></div><div><div><div>
Required Experience</div><div>
2 - 4 Years
</div></div></div></ul></div></div></div></div></div></div><p></p><div><div><p>
</p></div></div></div><p><div><div><div><div><div>Basic Section</div></div></div><div><div><p>
Number Of Positions</p><p>
1</p></div><div><p>
Band</p><p>
B1</p></div><div><p>
Band Name</p><p>
Assistant Manager</p></div><div><p>
Cost Code</p><p>
D012550</p></div><div><p>
Campus/Non Campus</p><p>
NON CAMPUS</p></div><div><p>
Employment Type</p><p>
Permanent</p></div><div><p>
Requisition Type</p><p>
New</p></div><div><p>
Max CTC</p><p>
10.0000 - 15.0000</p></div><div><p>
Complexity Level</p><p>
Not Applicable</p></div><div><p>
Work Type</p><p>
Hybrid &ndash; Working Partly From Home And Partly From Office</p></div></div></div><div><div><div><div>
Organisational</div></div></div><div><div><p>
Group</p><p>
Analytics</p></div><div><p>
Sub Group</p><p>
Analytics - UK &amp; Europe</p></div><div><p>
Organization</p><p>
Services</p></div><div><p>
LOB</p><p>
Services</p></div><div><p>
SBU</p><p>
Analytics</p></div><div><p>
Country</p><p>
India</p></div><div><p>
City</p><p>
Gurgaon</p></div><div><p>
Center</p><p>
EXL - Gurgaon Center 38</p></div></div></div></div></p><div><div><div><div>
Skills</div></div><div><div><p>
Skill</p><div><p>
EXCEL
</p><p>PROJECT AND RESOURCE MANAGEMENT
</p><p>COMMUNICATION
</p><p>BUDGET ANALYSIS
</p></div></div><div><p>Minimum Qualification</p><div><p>
B.COM</p></div></div><div><p>
Certification</p><p>
No data available
</p></div></div></div></div><div><div><div><div>Job Description</div></div><div><div><b>
 Assistant Manager</b></div><div></div><div><br>
EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator Framework&trade;, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation, and logistics industries. Headquartered in New York, New York, EXL has more than 51,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia, and South Africa.</div><div></div><div><br>
EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients&rsquo; decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation, and logistics industries.</div><div></div><div><br>
Please visit www.exlservice.com for more information about EXL Analytics.</div><div></div><div><b><br>
Role Overview:</b></div><div></div><div><b><br>
Mandatory Skills:</b></div><br>
<div></div><ul><li>
Working with the Core team to drive the task across program of work, Budget Forecasting, monthly invoicing, expense reconciliation &amp; reporting.</li><li>
Provide Project Management support in terms of preparing &amp; maintain documentation &amp; leadership dashboards.</li><li>
Collaborating with all levels of leadership- to drive strategic direction &amp; accountability for projects, programs &amp; Initiatives.</li><li>
Strong verbal and written communication, interpersonal and collaborative skills to handle client interactions independently.</li><li>
Bachelor's degree in any stream (MBA Preferred)</li></ul><div></div><div><b><br>
Good To Have:</b></div><br>
<div></div><ul><li>
Highly Organized &amp; Strategic Mindset, Leadership skills</li><li>
Ability to manage own work stream to achieve consistent ion time delivery</li><li>
Proven Presentation &amp; facilitation skills</li><li>
A strong sense of ethics &amp; Integrity</li><li>
Willingness to learn new technologies</li></ul><div></div><div><b><br>
Responsibilities:</b></div><br>
<div></div><ul><li>
Project task management</li><li>
Define project deliverables, controls and ensure adherence to these</li><li>
Supervise and assist the team on project execution and delivery</li><li>
Monitor project progress and ensure adherence to client expectation</li><li>
Communications, including deck writing</li><li>
Coordination of all sub-team efforts; Creation of project plan, define milestones, timelines, review plan with the team</li><li>
Delivery of output</li><li>
Facilitation and gathering of client feedback on problem structuring</li><li>
Understand and define business problems, get all background information and collect relevant data points</li><li>
Create solution hypothesis and get client buy in, discuss and align on end objective, staffing need, timelines and budget</li><li>
Effective management of frequency of feedback loop with team and client</li><li>
Build capabilities in junior team members</li></ul><div></div><div><b><br>
Candidate Profile:</b></div><div></div><div><b><br>
Location &ndash; Gurgaon (Hybrid)</b></div><div><b>
Level &ndash; Assistant Manager</b></div><div><b>
Salary &ndash; Open</b></div><div><b>
Highest qualification &ndash; MBA&rsquo;s preferred</b></div><div></div><div><b><br>
What we offer:</b></div><br>
<div></div><ul><li>
EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants.</li><li>
You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth</li><li>
Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques.</li><li>
We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors.</li><li>
Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond.</li></ul></div></div></div><div></div><div><div><div><div><br>
Workflow</div></div><div><div><p>
Workflow Type</p><div>
L&amp;S-DA-Consulting</div></div></div></div></div></div></div><p></p>

Assistant Manager

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