5170 Sas Jobs - Page 29

Senior Specialist Overview The Services organization is a key differentiator for Mastercard, providing cutting-edge services that help our customers grow. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services. Within Services, the Consumer Acquisition & Engagement team is a product-centric organization focused on developing, commercializing and enhancing differentiated offerings that leverage data and marketing technology to accelerate clients marketing performance and business outcomes. We are looking for passionate and talented professionals, who share our vision for data-driven marketing products to join us and take a leading role in shaping the growth of our team. Role: Senior Specialist (6 8 Years Experience) Location: Gurgaon Experience Level: 6-8 years Department: Analytics / Marketing Science / Data Science Employment Type: Full-time Job Summary We are seeking a results-oriented Marketing Analytics Lead with 6 8 years of experience in data analytics, statistical modelling, and marketing insights. The ideal candidate is confident in owning complex analyses of A/B testing and portfolio optimization and can comfortably engage with senior stakeholders. Experience in financial services, banking, or payments is strongly preferred. Exposure to GenAI in marketing analytics will be an added advantage. Key Responsibilities Lead design and execution of A/B tests, campaign analytics, and test-control methodologies. Perform deep-dive analysis on customer journeys, marketing funnels, and portfolio performance. Develop predictive models to inform segmentation, personalization, and targeting strategies. Provide thought leadership in marketing measurement and performance optimization. Translate insights into business impact through crisp storytelling and stakeholder engagement. Mentor junior analysts and contribute to best practices in analytics delivery. Partner with marketing, finance, and data engineering to ensure robust data solutions. Basic qualifications Undergraduate degree with 6-8 years of analytical experience in consulting, analytics, or data science with a strong focus on marketing analytics. Deep knowledge of business KPIs, financials and organizational leadership Proficiency in tools such as SQL, Python, R, or SAS. Strong foundation in A/B testing, test-control analysis, and statistical modelling. Experience generating new knowledge or creating innovative solutions for a firm Proven ability to communicate insights effectively with clarity and executive presence. Experience with data visualization platforms (e.g., Tableau, Power BI). Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Logical, structured thinking and affinity for statistical and numerical analysis Advanced Word, Excel, and PowerPoint skills Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred Qualifications Background in banking, payments, or financial institutions. Experience working on digital marketing, lifecycle campaigns, or customer analytics. Exposure to or hands-on use of GenAI tools for marketing insight generation or automation. Master s degree in Data Science, Statistics, Econometrics, Marketing, or related field is a plus.

Vacancy Notification for Yoga instructors at School of Advanced Studies (SAS). Applications are invited for the following position 1. Yoga Instructor Requirements: Maximum age limit of 45 years. Master\\\s degree in yoga or any relevant allied discipline with minimum 55% (or equivalent grade) from a recognized university. Ph.D. Degree in Yoga from a recognized university, in accordance with UGC Ph.D. regulations Only shortlisted candidates will be called for interview. No TA/DA will be paid for attending the interview. The university reserves the right to fill or not to fill the advertised post(s). All appointments will be subjected to UGC norms and government regulations.

Position: Storage Protocol (like SAS/SATA/NVMe) (CE37SF RM 3400) 3 to 7 years of experience in firmware development. Desired Skills: Good experience in Implementing solutions for SSD firmware Excellent Coding skills in C and Data Structures. Excellent embedded systems knowledge Exposure to any Storage protocaols like SAS/SATA/NVMe Exposure to other protocols like IPMI, MCTP, NVMe-MI , SMBus, GPIO and I2C Knowledge of Linux kernel and block layer will be added advantage Deep technical understanding of data storage systems preferably NVMe and PCIe would be a very big plus Job Category: Automotive firmware Job Type: Full Time Job Location: Bangalore Experience: 3-7 years Notice period: 0-15 days

Claidroid Technologies is seeking a Data Engineer Azure to design and build scalable, secure ETL/ELT pipelines using Azure-native tools for a mission-critical global data modernization project. The role involves ingesting and transforming structured and unstructured data, creating domain-specific data lakes and warehouse layers, and implementing real-time streaming architectures with Kafka and Spark. You ll work with technologies including Python, PySpark, Hive, MongoDB, and Cassandra, while embedding automation, monitoring, and TDD into workflows. The position requires collaboration with BI, analytics, governance, and infrastructure teams, and includes support for production releases via CI/CD-enabled pipelines. The location is Pune/Trivandrum (Hybrid), with an immediate or Requirements 4 8 years of experience in data engineering Proficient in Python, SQL, PySpark, and Unix/Linux scripting Expertise with Azure Data Lake, Azure Storage, Docker, and Kubernetes Hands-on experience with Kafka, Hive, Spark, Hadoop, and ELK stack Knowledge of metadata-driven ingestion and streaming patterns Familiarity with Agile methodologies, CI/CD pipelines, and automated testing Bonus: Experience with Postgres, Oracle, SAS, or visualization tools like QlikSense Strong attention to detail and performance-oriented mindset About the Company Claidroid Technologies stands at the forefront of digital transformation, specializing in a comprehensive spectrum of Enterprise Service Management and Enterprise Security Management solutions. Our expertise includes ServiceNow Proficiency, Identity and Access Management (IAM), Customer Identity and Access Management (CIAM), and Identity as a Service (IDaaS), among others. Integrating the best of on-site and offshore resources, we strive to meet and exceed our clients evolving needs. With our headquarters in India, weve broadened our reach by establishing Claidroid Technologies Oy in Helsinki, Finland, and Claidroid Technologies Americas LLC in the USA. Our expansion aims to deliver our bespoke services to a wider audience across these regions. Why Join Us Competitive Compensation: Salary in line with the best in the industry, along with generous perks. Hybrid Working Model: Enjoy the flexibility to work remotely Generous Benefits: Comprehensive health insurance, performance bonuses, and other rewards. Career Growth: Opportunities to grow in a dynamic, innovative environment focused on leadership and continuous improvement. Work Culture: Be part of a collaborative and inclusive team that values your contributions and supports your professional development.

Specialist Overview The Services organization is a key differentiator for Mastercard, providing cutting-edge services that help our customers grow. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services. Within Services, the Consumer Acquisition & Engagement team is a product-centric organization focused on developing, commercializing and enhancing differentiated offerings that leverage data and marketing technology to accelerate clients marketing performance and business outcomes. We are looking for passionate and talented professionals, who share our vision for data-driven marketing products to join us and take a leading role in shaping the growth of our team. Role: Analyst (2 4 Years Experience) Location: Gurgaon Experience Level: 2 4 years Department: Analytics / Marketing Science / Data Science Employment Type: Full-time Job Summary We are seeking a results-oriented Marketing Analytics Specialist with 2 4 years of experience in data analytics, statistical modelling, and marketing insights. The ideal candidate is confident in owning complex analyses of A/B testing and portfolio optimization and can comfortably engage with senior stakeholders. Experience in financial services, banking, or payments is strongly preferred. Exposure to GenAI in marketing analytics will be an added advantage. Key Responsibilities Lead design and execution of A/B tests, campaign analytics, and test-control methodologies. Perform deep-dive analysis on customer journeys, marketing funnels, and portfolio performance. Develop predictive models to inform segmentation, personalization, and targeting strategies. Provide thought leadership in marketing measurement and performance optimization. Translate insights into business impact through crisp storytelling and stakeholder engagement. Basic qualifications Undergraduate degree with 2-4 years of analytical experience in consulting, analytics, or data science with a strong focus on marketing analytics. Proficiency in tools such as SQL, Python, R, or SAS. Strong foundation in A/B testing, test-control analysis, and statistical modelling. Proven ability to communicate insights effectively with clarity and executive presence. Experience with data visualization platforms (e.g., Tableau, Power BI). Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Logical, structured thinking and affinity for statistical and numerical analysis Advanced Word, Excel, and PowerPoint skills Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred Qualifications Background in banking, payments, or financial institutions. Experience working on digital marketing, lifecycle campaigns, or customer analytics. Exposure to or hands-on use of GenAI tools for marketing insight generation or automation. Master s degree in Data Science, Statistics, Econometrics, Marketing, or related field is a plus.

Responsibilities Date posted 07/21/2025 End Date 08/04/2025 City Bengaluru State/Region Karnataka Country India Location Type Onsite Calling all innovators find your future at Fiserv. Job Title Advisor, Statistical Analysis Job Posting Title: Tech Lead, Statistical Analysis What does a successful Tech Lead, Statistical Analysis do at Fiserv Fiserv is looking for a talented analytical advisor who plays a crucial role in helping clients make informed decisions based on data-driven insights. Fiserv offers a range of solutions for financial institutions, businesses, and merchants, analytics advisors contribute to the success of these solutions by providing expert guidance on utilizing data effectively. Using product knowledge, subject matter expertise and technical skills, he will provide the highest level of service to resolve the client/customers issues. What you will do: Create comprehensive strategies to proactively identify and mitigate potential challenges and opportunities. Collaborate with cross-functional teams to ensure alignment with company objectives. Oversee and analyze large datasets to identify patterns, trends, and anomalies. Utilize statistical modeling, machine learning algorithms, and data visualization tools to gain actionable insights and drive data-driven decision-making. Evaluate and optimize systems and technologies. Implement improvements to enhance the accuracy and efficiency of data analysis. Develop and maintain regular reports on key metrics, trends, and insights. Present findings to stakeholders, recommending appropriate actions based on analysis. Stay abreast of the latest trends, tools, and technologies in your field. Identify opportunities to enhance existing processes and methodologies, driving continuous improvement within the team. Ensure Compliance and Best Practices: Ensure that all activities align with industry regulations and company policies. Collaborate with relevant teams to address any potential issues. What you will need to have: Bachelor s or master s degree in a relevant field such as Data Science, Statistics, Computer Science, or a related discipline. Proven experience (typically 8-10 years) in analytics. Strong analytical skills with expertise in data manipulation, statistical analysis, and machine learning techniques. Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools (e.g., Tableau, Power BI) for presenting insights to stakeholders. Excellent leadership and communication skills, with the ability to inspire and motivate a team. What would be great to have: Proficiency in programming languages such as Python, R, or SAS, and experience with relevant libraries and frameworks (e.g., TensorFlow, Py-Torch, scikit-learn). Solid understanding of hypothesis testing, and validation methodologies. Experience with data manipulation, feature engineering, and data preprocessing techniques. Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders effectively. Experience with data visualization tools and techniques to present validation results in a clear and meaningful way. Thank you for considering employment with Fiserv. Please: Apply using your legal name Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable). Our commitment to Diversity and Inclusion: Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. Note to agencies: Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions. Warning about fake job posts: Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address. Share this Job Email LinkedIn X Facebook

Ability to solve problems through mathematical and deductive reasoning Familiarity implementing, testing or evaluating performance of financial crime and compliance systems. ATL/BTL testing, Experience in programming (SQL/Python/SAS) Prior experience designing compliance program tuning and configuration methodologies, including what-if detection scenario analytics, excess over threshold, and sampling above/below-the-line (ATL/BTL) testing. Experience in any Transaction Monitoring tool like Actimize / MANTAS / Any other (2+ years) or relevant Threshold tuning

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

This position provides input, support, and performs full systems life cycle management activities (e-g-, analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc-)- He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements- This position provides input to applications development project plans and integrations- He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives- This position provides knowledge and support for applications development, integration, and maintenance- He/She provides input to department and project teams on decisions supporting projects- Key Responsibilities: Analyze business requirements and translate them into technical solutions- Design, develop, test, and maintain applications using COBOL, VSAM, DB2, CICS, SAS, JCL Participate in the complete Software Development Life Cycle (SDLC) including requirements gathering, design, coding, testing, deployment, and support- Excellent on LINUX Shell Scripting Collaborate with business stakeholders and project managers in an Agile environment to meet project deadlines and deliverables- Troubleshoot and resolve issues in production environments, ensuring minimal disruption to operations- Maintain and enhance existing applications to improve performance, security, and functionality- Develop and execute unit tests, integrate solutions, and provide detailed documentation- Ensure the highest quality of code and contribute to the overall improvement of the development process- Stay current with emerging technologies, methodologies, and industry trends related to mainframe development- Mandatory Skills and Experience: 5+ years of hands-on experience in Mainframe application development- Strong proficiency in COBOL programming and related tools- Solid experience with DB2 (database design, queries, and optimization)- Strong knowledge and hands-on experience with JCL (Job Control Language)- In-depth understanding of the Software Development Life Cycle (SDLC) and Agile methodologies- Knowledge on AzureDevOps- Excellent analytical, problem-solving, and debugging skills- Strong communication and interpersonal skills, capable of interacting with stakeholders and team members effectively- Experience working in a corporate banking or financial services environment is a plus- Additional Skills: Familiarity with version control and issue tracking tools (e-, Git, Jira)- Knowledge of Linux Shell Scripting and Linux Admin Knowledge of ORACLE PLSQL

This position provides input, support, and performs full systems life cycle management activities (e-g-, analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc-)- He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements- This position provides input to applications development project plans and integrations- He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives- This position provides knowledge and support for applications development, integration, and maintenance- He/She provides input to department and project teams on decisions supporting projects- Key Responsibilities: Analyze business requirements and translate them into technical solutions- Design, develop, test, and maintain applications using COBOL, VSAM, DB2, CICS, SAS, JCL Participate in the complete Software Development Life Cycle (SDLC) including requirements gathering, design, coding, testing, deployment, and support- Excellent on LINUX Shell Scripting Collaborate with business stakeholders and project managers in an Agile environment to meet project deadlines and deliverables- Troubleshoot and resolve issues in production environments, ensuring minimal disruption to operations- Maintain and enhance existing applications to improve performance, security, and functionality- Develop and execute unit tests, integrate solutions, and provide detailed documentation- Ensure the highest quality of code and contribute to the overall improvement of the development process- Stay current with emerging technologies, methodologies, and industry trends related to mainframe development- Mandatory Skills and Experience: 8+ years of hands-on experience in Mainframe application development- Strong proficiency in COBOL programming and related tools- Solid experience with DB2 (database design, queries, and optimization)- Strong knowledge and hands-on experience with JCL (Job Control Language)- In-depth understanding of the Software Development Life Cycle (SDLC) and Agile methodologies- Knowledge on AzureDevOps- Excellent analytical, problem-solving, and debugging skills- Strong communication and interpersonal skills, capable of interacting with stakeholders and team members effectively- Experience working in a corporate banking or financial services environment is a plus- Additional Skills: Familiarity with version control and issue tracking tools (e-, Git, Jira)- Knowledge of Linux Shell Scripting and Linux Admin Knowledge of ORACLE PLSQL

The individual will be part of VCA Data Science team, under Visa Managed Services (VMS) vertical and will be responsible for delivering data analytics projects with Visa client- The team is involved in a comprehensive range of analytics services for our client, that address unique challenges in areas such as strategic growth, cards profitability, product acquisitions, customer engagement and portfolio management- What a Data Scientist, Visa Consulting & Analytics does at Visa: The Data Scientist will be a member of VCA Data Science team in Asia Pacific and will report to the squad lead- This position will be embedded at client office and based in Bangalore- The individual will be accountable for delivery and implementation of analytics strategies as well as high-impact solutions for the client- He/she will bring in deep expertise from credit cards and retail banking with a strong background in data analysis to solve complex problems and unlock business value- Key responsibilities include: Execute and deliver data analytics projects for the Visa client Drive credit card portfolio strategies with the use of client data and/or other sources of data e-g- Visa data, third party etc- Act as analytics advocate within our partners, advising teams and sharing best practices and case studies- Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent, and infrastructure- Explore leading methodologies, best practices and import successful methodologies from other international markets Effectively interact with clients and manage internal/external stakeholder communication Why this is important to Visa As payments consulting arm of Visa, VCA is growing a team of highly specialized experts who can provide best-in-class payment expertise and data-driven strategies to clients- We re building a high-performing team of data scientists, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce with cutting-edge, creative, and advanced analytic solutions- The purpose of the team is to help Visa s clients grow their business and solve problems by providing consulting services using data- What you will need: We are looking for a motivated, analytical minded individual with a track record of using data and analytics to unlock business value- A successful candidate should have accumulated a variety of industry experience, be curious about banking and cards industry, should be results-driven and client-centric- This is a remote position- A remote position does not require job duties be performed within proximity of a Visa office location- Remote positions may be required to be present at a Visa office with scheduled notice- Basic Qualifications: 3. 5 years of relevant work experience and a Bachelors degree, Preferred Qualifications: 3.5 years of work experience with a Bachelor s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) Degree in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent Experience in credit cards, and/or retail banking analytics Hands on experience with one or more data analytics/programming tools such as SAS/Hadoop/R/SQL/Python/Hive Outstanding problem.solving skills, with demonstrated ability to think creatively and strategically Presentation and data storytelling skills including strong hold on MS Excel and PowerPoint Self.motivated, results oriented individual with ability to handle multiple projects concurrently Experience in working closely with data science community

This position provides input, support, and performs full systems life cycle management activities (e-g-, analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc-)- He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements- This position provides input to applications development project plans and integrations- He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives- This position provides knowledge and support for applications development, integration, and maintenance- He/She provides input to department and project teams on decisions supporting projects- Key Responsibilities: Analyze business requirements and translate them into technical solutions- Design, develop, test, and maintain applications using COBOL, VSAM, DB2, CICS, SAS, JCL, PL/1 Participate in the complete Software Development Life Cycle (SDLC) including requirements gathering, design, coding, testing, deployment, and support- Excellent on LINUX Shell Scripting Collaborate with business stakeholders and project managers in an Agile environment to meet project deadlines and deliverables- Troubleshoot and resolve issues in production environments, ensuring minimal disruption to operations- Maintain and enhance existing applications to improve performance, security, and functionality- Develop and execute unit tests, integrate solutions, and provide detailed documentation- Ensure the highest quality of code and contribute to the overall improvement of the development process- Stay current with emerging technologies, methodologies, and industry trends related to mainframe development- Mandatory Skills and Experience: 8+ years of hands-on experience in Mainframe application development- 3+ years of practical experience in COBOL programming- Strong proficiency in COBOL programming and related tools- Solid experience with DB2 (database design, queries, and optimization)- Strong knowledge and hands-on experience with JCL (Job Control Language)- In-depth understanding of the Software Development Life Cycle (SDLC) and Agile methodologies- Excellent analytical, problem-solving, and debugging skills- Strong communication and interpersonal skills, capable of interacting with stakeholders and team members effectively- Experience working in a corporate banking or financial services environment is a plus- Additional Skills: Familiarity with version control and issue tracking tools (e-, Git, Jira)- Knowledge of Linux Admin Knowledge of ORACLE PLSQL

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

We are looking for a methodical Market Research Analyst to survey customer preferences and statistical data in order to support customers during their decision-making process regarding product designs, prices, and promotions. The successful market researcher will be able to analyze autonomously qualitative data, trends, strategies, and competition aiming at increasing competitiveness. Responsibilities: Collect data on consumers, competitors, and market place and consolidate information into actionable items, reports, and presentations. Understand business objectives and design surveys to discover prospective customers preferences. Compile and analyze statistical data using modern and traditional methods to collect it. Perform a valid and reliable market research SWOT analysis. Interpret data, formulate reports and make recommendations. Use online market research and catalog findings in databases. Provide competitive analysis on various companies market offerings, identify market trends, pricing/business models, sales, and methods of operation. Evaluate program methodology and key data to ensure that data on the releases are accurate and the angle of the release is correct. Remain fully informed on market trends, other parties research and implement best practices. Key Skills: Proven Market Research Analysis experience Ability to interpret large amounts of data and to multi-task Strong communication and presentation skills Excellent knowledge of statistical packages (SPSS, SAS, or similar), databases, and MS Office Search engines, web analytics, and business research tools acumen Familiarity with CRM programs Adequate knowledge of data collection methods (polls, focus groups, surveys, etc) Working knowledge of data warehousing, modeling, and mining Strong analytical and critical thinking BS degree in Statistics, Marketing, or related field.

Jun 30, 2025 Location: Chennai Designation: Manager Entity: Deloitte Touche Tohmatsu India LLP What impact will you make Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you ll find unrivaled opportunities to succeed and realize your full potential Deloitte is where you ll find unrivaled opportunities to succeed and realize your full potential. The Team Discover the various Financial Risk services, we offer to help organizations across the full life cycle of financial transaction. From governance and processes to technology and reporting, our services can enhance transparency, efficiency, compliance and financial integrity. Work you ll do Our focus is on Quant Analysts Skills Must have: Model Development, Model Validation, Financial and Non-Financial Risk, Python, Good Coding Skill. Good to have: BFSI experience, SAS. Education: Mathematics, Statistics, Economics, Engineer Job Purpose Within the SRT practice, the Analytics group is designed to take a risk based, analytics approach help clients improve performance and operating efficiency. We work closely and collaboratively with our clients, providing the full range of analytics services. Supporting statutory and Internal Auditors to be effective and efficient through usage of analytics. Beyond this, significant part of the services is in Risk Assessment, Control Compliance, CFO dashboard, solving business problem through analytics for respective Industry vertical through CCM / CTM, Contract Risk and Compliance Qualifications Graduates (B.Tech / B.E) with relevant experience can also be considered. M.Sc.IT, MBA, M.Tech, MCA, Any PG Others - Certifications: Machine learning/Deep learning certifications, GitHub portfolio, Kaggle Profile, Hackerrank profile or any other Your role as a leader At Deloitte India, we believe in the importance of leadership at all levels. We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society and make an impact that matters. In addition to living our purpose, professionals across levels in our organization: Builds own understanding of our purpose and values; explores opportunities for impact Demonstrates strong commitment to personal learning and development; acts as a brand ambassador to help attract top talent Understands expectations and demonstrates personal accountability for keeping performance on track Actively focuses on developing effective communication and relationship-building skills Understands how their daily work contributes to the priorities of the team and the business How you ll grow At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there s always room to learn. We offer opportunities to help build world-class skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Centre. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our purpose Deloitte is led by a purpose: To make an impact that matters . Every day, Deloitte people are making a real impact in the places they live and work. We pride ourselves on doing not only what is good for clients, but also what is good for our people and the communities in which we live and work always striving to be an organization that is held up as a role model of quality, integrity, and positive change. Learn more about Deloittes impact on the world Recruiter tips We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you re applying to. Check out recruiting tips from Deloitte professionals.

About the company At SBI Card, the motto Make Life Simple inspires every initiative, ensuring that customer convenience is at the forefront of all that we do. We are committed to building an environment where people can thrive and create a better future for everyone. SBI Card is proud to be an equal opportunity & inclusive employer and welcome employees without any discrimination on the grounds of race, colour, gender, religion, creed, disability, sexual orientation, gender identity, marital status, caste etc. SBI Card is committed to fostering an inclusive and diverse workplace where all employees are treated equally with dignity and respect which makes it a promising place to work. What s in it for YOU SBI Card truly lives by the work-life balance philosophy. We offer a robust wellness and wellbeing program to support mental and physical health of our employees Admirable work deserves to be rewarded. We have a well curated bouquet of rewards and recognition program for the employees Dynamic, Inclusive and Diverse team culture Gender Neutral Policy Inclusive Health Benefits for all - Medical Insurance, Personal Accidental, Group Term Life Insurance and Annual Health Checkup, Dental and OPD benefits Commitment to the overall development of an employee through comprehensive learning & development framework Role Purpose Fraud Analytics ( Prevention) Manager will need to review and study dailyApp Fraud trends and build rules and models to reduce Fraud Losses due to ID take over, First party frauds etc. He will work closely with Fraud Strategy and Fraud Ops teams to understand new fraud trends and implement new strategies. He should implement analytical tools to reduce fraud losses, control key fraud control metrics like FPR, ADR, VDR etc. and periodic rationalization of rules and trends forecasting for fraud provisioning and management reporting Role Accountability Lead the Fraud Analytics team to reduce application frauds and fraud losses and adhere to Regulatory Compliance policies through data science Analyze data on frauds and identify and recommend fraud rules rationalization to reduce frauds, enhance customer experience and ensure regulatory compliance Analyze & design rules for the fraud monitoring systems (Hunter ) to control key fraud risk metrics like FPR, ADR, VDR etc. Build fraud models using RPA for early detection of frauds, build Machine Learning predictive models to detect fraud trends Apply consumer behavior patterns, key portfolio drivers and macro-economic indicators and use data science to identify upcoming fraud trends & plug process gaps to improve forecast accuracy Prepare & publish reports for management on various key indicators i. e. consumer transaction behavior, demographic indicators and key fraud drivers Monitor fraud trends and alert decisioning, feed back the learnings/observations into the system and training people for process improvements Measures of Success AFPR, ADR, VDR Fraud Catch Rate Rule Coverage Percentage Dispute Rate Industry Benchmarking: Strive to be best in the industry on Fraud loss to Spends ratio Process Adherence as per MOU Technical Skills / Experience / Certifications In-depth knowledge of Data Analytics for predicting and analyzing large data Knowledge of Data Analytics tools including SAS, SAS-VA, Python, R, SQL, Excel, Tableau etc. Knowledge of Data Science concepts & their application on large data Competencies critical to the role Excellent Team Leading and Interpersonal Skills Mentoring the team for Upskilling and address barriers/hurdles for execution. Qualification Graduate or Masters Degree Preferred Industry Banking / Financial Services

Exp in SAS, SQL and large amounts of data US Stakeholder exp Exp of acquisition/account management credit risk models, transactional fraud models, marketing models, collections models, finance models, loss models, Loss forecasting (PD/LGD/EAD/CECL) Required Candidate profile SAS SQL Python Credit risk Credit Card Statistical Modelling Predictive Modelling

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.