5122 Sas Jobs - Page 11

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Associate Managing Consultant, Advisors & Consulting Services, Performance Analytics Associate Managing Consultant – Performance Analytics Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard’s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard Roles and Responsibilities Client Impact Manage deliverable development and workstreams on projects across a range of industries and problem statements Contribute to and/or develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Manage working relationship with client managers, and act as trusted and reliable partner Create predictive models using segmentation and regression techniques to drive profits Review analytics end-products to ensure accuracy, quality and timeliness. Proactively seek new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal oversight Team Collaboration & Culture Develop sound business recommendations and deliver effective client presentations Plan, organize, and structure own work and that of junior project delivery consultants to identify effective analysis structures to address client problems and synthesize analyses into relevant findings Lead team and external meetings, and lead or co-lead project management Contribute to the firm's intellectual capital and solution development Grow from coaching to enable ownership of day-to-day project management across client projects, and mentor junior consultants Develop effective working relationships with local and global teams including business partners Qualifications Basic qualifications Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics Experience managing clients or internal stakeholders Ability to analyze large datasets and synthesize key findings to provide recommendations via descriptive analytics and business intelligence Knowledge of metrics, measurements, and benchmarking to complex and demanding solutions across multiple industry verticals Data and analytics experience such as working with data analytics software (e.g., Python, R, SQL, SAS) and building, managing, and maintaining database structures Advanced Word, Excel, and PowerPoint skills Ability to perform multiple tasks with multiple 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 Additional data and analytics experience working with Hadoop framework and coding using Impala, Hive, or PySpark or working with data visualization tools (e.g., Tableau, Power BI) Experience managing tasks or workstreams in a collaborative team environment Experience coaching junior delivery consultants Relevant industry expertise MBA or master’s degree with relevant specialization (not required) Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Associate Managing Consultant-2 Associate Managing Consultant – Performance Analytics Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard’s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard Roles and Responsibilities Client Impact Manage deliverable development and workstreams on projects across a range of industries and problem statements Contribute to and/or develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Manage working relationship with client managers, and act as trusted and reliable partner Create predictive models using segmentation and regression techniques to drive profits Review analytics end-products to ensure accuracy, quality and timeliness. Proactively seek new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal oversight Team Collaboration & Culture Develop sound business recommendations and deliver effective client presentations Plan, organize, and structure own work and that of junior project delivery consultants to identify effective analysis structures to address client problems and synthesize analyses into relevant findings Lead team and external meetings, and lead or co-lead project management Contribute to the firm's intellectual capital and solution development Grow from coaching to enable ownership of day-to-day project management across client projects, and mentor junior consultants Develop effective working relationships with local and global teams including business partners Qualifications Basic qualifications Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics Experience managing clients or internal stakeholders Ability to analyze large datasets and synthesize key findings to provide recommendations via descriptive analytics and business intelligence Knowledge of metrics, measurements, and benchmarking to complex and demanding solutions across multiple industry verticals Data and analytics experience such as working with data analytics software (e.g., Python, R, SQL, SAS) and building, managing, and maintaining database structures Advanced Word, Excel, and PowerPoint skills Ability to perform multiple tasks with multiple 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 Additional data and analytics experience working with Hadoop framework and coding using Impala, Hive, or PySpark or working with data visualization tools (e.g., Tableau, Power BI) Experience managing tasks or workstreams in a collaborative team environment Experience coaching junior delivery consultants Relevant industry expertise MBA or master’s degree with relevant specialization (not required) Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Associate Managing Consultant, Advisors Client Services, Performance Analytics Associate Managing Consultant – Performance Analytics Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard’s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard Roles and Responsibilities Client Impact Manage deliverable development and workstreams on projects across a range of industries and problem statements Contribute to and/or develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Manage working relationship with client managers, and act as trusted and reliable partner Team Collaboration & Culture Develop sound business recommendations and deliver effective client presentations Plan, organize, and structure own work and that of junior project delivery consultants to identify effective analysis structures to address client problems and synthesize analyses into relevant findings Lead team and external meetings, and lead or co-lead project management Contribute to the firm's intellectual capital and solution development Grow from coaching to enable ownership of day-to-day project management across client projects, and mentor junior consultants Qualifications Basic qualifications Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics Experience managing clients or internal stakeholders Ability to analyze large datasets and synthesize key findings to provide recommendations via descriptive analytics and business intelligence Data and analytics experience such as working with data analytics software (e.g., Python, R, SQL, SAS) and building, managing, and maintaining database structures Strong experience in authorization, fraud and/or experience in credit risk Advanced Word, Excel, and PowerPoint skills Ability to perform multiple tasks with multiple 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 Additional data and analytics experience working with Hadoop framework and coding using Impala, Hive, or PySpark or working with data visualization tools (e.g., Tableau, Power BI) Experience managing tasks or workstreams in a collaborative team environment Experience coaching junior delivery consultants Relevant industry expertise MBA or master’s degree with relevant specialization (not required) Our Purpose We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation, and delivers better business results. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Managing Consultant – Performance Analytics Managing Consultant – Performance Analytics Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard’s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard Roles and Responsibilities Client Impact Lead client engagements across a range of industries and problem statements Develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness Team Collaboration & Culture Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members’ roles and skills Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, create relevant solutions for clients, and build the firm's intellectual capital Provide on-the-job training, coaching, and mentorship to junior consultants Qualifications 8-10 years of overall career experience post Masters/MBA or 10-12 years of experience post Graduation Excellent expertise on Performance Analytics, Python, PySpark & SQL Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics Experience coaching and managing teams across multiple projects Experience managing key client relationships Knowledge of business KPIs, financials and organizational leadership Ability to identify new business development opportunities, and experience drafting proposals and scoping new opportunities Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Data and analytics experience such as working with data analytics software (e.g., Python, R, SQL, SAS), building, managing, and maintaining database structures, working with data visualization tools (e.g., Tableau, Power BI) 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 Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark Experience generating new knowledge or creating innovative solutions for a firm Relevant industry expertise Master’s degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required) Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Associate Managing Consultant, Program Management, Advisors Client Services-2 The D&S team 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. We combine traditional management consulting with our rich data assets and in-house technology to provide our clients with powerful strategic insights and recommendations. Centred on data-driven technologies and innovation, these services include consulting, loyalty and marketing programs, test-and-learn business experimentation, and data-driven information and risk management services. While specializing in the payments industry, Mastercard D&S also works closely with major retailers, airlines, and other enterprises, leveraging data and insights garnered from within and beyond its network. We are looking for passionate and talented professionals, who share our vision for data-driven consulting, to join us and take a leading role in shaping the growth of our team. Primary Role Working with technology and large & complex data, contributes towards the development of strategies and programs for our client. The candidate should have strong experience & functional knowledge of Banking & Credit cards and other Banking products Candidate will work closely with Client team & data to support analytics around; New Customer Acquisition, Existing Customer Management (ECM), PnL Strategy Candidate will closely work and support the following areas: Customer Segmentation, Portfolio Management and Optimization, Product PnL Analysis, Modelling & Forecasting Conduct portfolio analytics and deep-dives as required by country/regional/group retail credit and develop credit strategies across customer life-cycle of origination, portfolio mgmt. and collections. Embed banks Risk Management and decisioning framework in day-to-day work, ideate & self initiate necessary analytics to drive portfolio performance. Proficiency in Analytics tool such as; SAS, SQL is MUST and Python (Good to have) with proven record of working with large, complex data. Proficiency in MS Excel is desired. General familiarity in all MS applications. Secondary Role Analytic Excellence: Demonstrates a strong aptitude for structured problem solving and quantitative skills Communication and Presence: Excellent written and verbal communication skills and clearly able to articulate narrative, insights and action items. Teamwork: Willingness to work within small teams to produce outstanding deliverables, with a will to win attitude. Passion: Actively seeks responsibility and takes pride in delivering the highest quality results and recommendations to our clients. Integrity: Commitment to Mastercard's values of honesty and integrity with a willingness to embrace and learn from our mistakes Qualifications Masters or Equivalent degree (MBA, MBE, MA Economics, M.tech, M stats etc) Expert level understanding of the Credit Card, Banking along with knowledge of PnL Items 3+ years of experience in Banking Excellent communication, and interpersonal skills, with the ability to build and maintain relationships with stakeholders Strong problem-solving & analytical skills, with the ability to identify & manage project risks Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Associate Managing Consultant – Performance Analytics-2 Associate Managing Consultant – Performance Analytics Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard’s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard Roles and Responsibilities Client Impact Manage deliverable development and workstreams on projects across a range of industries and problem statements Contribute to and/or develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Manage working relationship with client managers, and act as trusted and reliable partner Create predictive models using segmentation and regression techniques to drive profits Review analytics end-products to ensure accuracy, quality and timeliness. Proactively seek new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal oversight Team Collaboration & Culture Develop sound business recommendations and deliver effective client presentations Plan, organize, and structure own work and that of junior project delivery consultants to identify effective analysis structures to address client problems and synthesize analyses into relevant findings Lead team and external meetings, and lead or co-lead project management Contribute to the firm's intellectual capital and solution development Grow from coaching to enable ownership of day-to-day project management across client projects, and mentor junior consultants Develop effective working relationships with local and global teams including business partners Qualifications Basic qualifications Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics Experience managing clients or internal stakeholders Ability to analyze large datasets and synthesize key findings to provide recommendations via descriptive analytics and business intelligence Knowledge of metrics, measurements, and benchmarking to complex and demanding solutions across multiple industry verticals Data and analytics experience such as working with data analytics software (e.g., Python, R, SQL, SAS) and building, managing, and maintaining database structures Advanced Word, Excel, and PowerPoint skills Ability to perform multiple tasks with multiple 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 Additional data and analytics experience working with Hadoop framework and coding using Impala, Hive, or PySpark or working with data visualization tools (e.g., Tableau, Power BI) Experience managing tasks or workstreams in a collaborative team environment Experience coaching junior delivery consultants Relevant industry expertise MBA or master’s degree with relevant specialization (not required) Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our vision is to transform how you use information to enrich life for all. Micron Technology is a global leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring you to learn, communicate, and advance faster than ever. In this role, you should have 6-15 years of experience in Embedded Firmware Storage/SSD, which would be a strong advantage. You must possess strong firmware design and debug experience using assembly and C programming. Knowledge of SSD flash translation layer, wear leveling, and garbage collection is essential. Familiarity with mass storage interfaces such as SATA, SAS, and NVMe would be a strong plus. Your responsibilities will include problem recreation and trapping, identifying performance critical algorithms for optimization, and working with ARM development tools and IDE such as Eclipse. You should be capable of scoping and estimating development effort, working effectively in a team, and multitasking in a fast-paced environment. Additionally, having working knowledge of digital hardware design and experience with test equipment like oscilloscopes and logic/bus analyzers is beneficial. To qualify for this position, you need a BS in Electrical Engineering, Computer Engineering, or an equivalent field. Excellent written and verbal communication skills, strong interpersonal abilities, and a goal-oriented mindset are preferred. You should be able to collaborate effectively in a dynamic team environment. Micron Technology, Inc. is dedicated to delivering innovative memory and storage solutions that enhance life for everyone. With a focus on customers, technology leadership, and operational excellence, Micron offers a range of high-performance DRAM, NAND, and NOR memory and storage products. The company's innovations drive the data economy, enabling advancements in artificial intelligence and 5G applications. For more information about Micron Technology, Inc., please visit micron.com/careers. If you need assistance with the application process or require reasonable accommodations, contact hrsupport_india@micron.com. Micron strictly prohibits the use of child labor and complies with all relevant labor laws and international standards. Candidates are encouraged to use AI tools to enhance their resumes and application materials. However, all information provided must be accurate and truthful. Misrepresentation of qualifications through AI will lead to disqualification. Job seekers are advised to be cautious of unsolicited job offers and verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website.,

As a Manager/Sr Manager in Credit Decisioning Scorecard and/or Credit Risk Strategy Development at Genpact, you will play a crucial role in developing various types of credit scorecards and risk strategies for banking and financial institutions. Your responsibilities will include providing analytical support, assessing data quality, developing and calibrating credit decision scorecards, designing credit risk strategies, and leading the development of model methodologies and diagnostic tools. You will work as a consultant for the centralized advanced analytics team of a banking or financial firm. Your day-to-day activities will involve recommending actions to mitigate risk, improving data quality for model development, handling data and quantitative analysis, and leading the development of model methodologies and algorithms. Additionally, you will be responsible for documenting model techniques, conducting validation activities, drafting technical documents, and contributing to the creation of whitepapers. The qualifications we are looking for include hands-on experience in developing credit risk scorecards and strategies, statistical modeling expertise, knowledge of AI and ML techniques, proficiency in data analysis tools like SQL, ETL, SAS, Python, and R, a master's degree in a quantitative discipline, strong client management and communication skills, self-driven attitude, project management experience, and the ability to lead projects and teams. Preferred qualifications include networking and influencing skills, rich experience in BFS analytics and credit risk modeling. If you are a proactive individual with a can-do attitude, strong technical skills, and the ability to work under ambiguity and time-sensitive commitments, we invite you to join our team at Genpact and contribute to shaping the future of global professional services and solutions.,

About Northern Trust Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889. Northern Trust is proud to provide innovative financial services and guidance to the world's most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service. Job Summary Associate Consultant/Consultant, a key member of the Model Development Team, plays a crucial role in the Risk Analytics and Data Service Team. The role involves contributing individually to the development and maintenance of AML (Anti-Money Laundering) models. The ideal candidate will take ownership of the AML transaction monitoring framework and leverage data-driven approaches to enhance model performance. Job title: Associate Consultant/Consultant Location: Bangalore/Pune Experience: 4-8 years of relevant experience Major Duties - Manage, monitor, and optimize Actimize SAM models, including tuning thresholds, scenarios, and segmentation logic. - Utilize quantitative analysis, statistical modeling, and machine learning techniques to detect suspicious activity and minimize false positives. - Collaborate with model validation and governance teams to ensure compliance with regulatory requirements. - Work closely with IT and data teams to maintain the integrity and availability of data pipelines supporting Actimize SAM and related AML systems. - Assist in internal and external audits, regulatory reviews, and model validation documentation. - Engage with various committees and senior management. Qualification - Master's in Statistics/Economics/Mathematics or an advanced degree in a quantitative area. - Alternatively, B.Tech/M.Tech from a tier 1 college with an MBA in a related field. Skills Required - Proficiency in Data Science and machine learning models. - 3+ years of experience in banking and AML/Financial Crime Compliance, with direct exposure to Actimize SAM. - Strong grasp of risk concepts and quantitative modeling techniques, with experience in model validation considered a plus. - Proficiency in R, Python, SAS. - Strong organizational and interpersonal skills. - Excellent verbal and written communication skills in English. - Experience working in a multicultural and global environment. Working With Us As a Northern Trust partner, you will be part of a flexible and collaborative work culture within an organization that values financial strength and stability. Opportunities for internal mobility are encouraged, senior leaders are approachable, and you can take pride in contributing to a company committed to supporting the communities it serves. Join us in a workplace with a greater purpose and apply today to explore how your interests and experience align with one of the world's most admired and sustainable companies. Reasonable Accommodation Northern Trust is dedicated to collaborating with and providing reasonable accommodations to individuals with disabilities. If you require an accommodation during any stage of the employment process, please reach out to our HR Service Center at MyHRHelp@ntrs.com. Apply today and discuss your flexible working preferences with us as we strive to achieve greater together.,

Who are we? Equinix is the world’s digital infrastructure company®, operating over 260 data centers across the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals. A career at Equinix means you will collaborate on work that impacts the world and be surrounded by endless opportunities to learn new skills and grow in varied directions. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success. Job Summary Sells Equinix solutions to new accounts and/or expands existing accounts. Focus on mid-size domestic and global accounts. Responsibilities Build Customer Relationships Plans, builds, and maintains relationships with Establish a professional, working, and consultative, relationship with the key stakeholders in assigned accounts/prospects, by developing a basic understanding of the unique business needs of the customer within their industry Develops a deep understanding of, and effectively articulates, the Equinix Platform offerings and value propositions in the market Conducts quarterly business reviews with customers to identify and develop new selling opportunities Leverage Internal & External Partners: Coordinates sales approach with the extended sales team (Sales Engineers, Solutions Architect, Digital Sales Specialist, SSA, Commercial Solutions, Sales Operations, Customer Care, etc.) and external partners (Reseller, Strategic Alliance, etc.), targeting to improve sales velocity and sales pipeline growth Demonstrates consistent intra-region selling and occasional cross region exports Leverages network of peer representatives in strategic alliance and reseller partners to map and penetrate accounts Facilitates customer relationships to ensure timely resolution of customer issues Account Planning: Researches, and documents detailed understanding of customer business and organizational landscape on select accounts Develops account plans focused on maintaining/growing accounts Improves value-driven relationships with all key persons in your patch that can help in long-term business development and retention, thereby maximizing the revenue potential Develops mechanism to track competitor landscape and build strategy to make in-roads Solution Selling: Identifies customer’s business needs, challenges, and technical requirements to match to Equinix solutions in partnership with SEs/SAs Understands the role of each persona and how the company's solutions differentially address specific vertical industry challenges as well as their cross-segment capabilities Delivers pitch in partnership with SE/SAs and tailors pitch to customer needs Proven proficiency of Equinix product set and solutions Possesses the ability to independently articulate the technical solution and the commercial benefits to the customer Sells full suite of Equinix offerings to include global footprint Leverages external partners to drive solution development in new areas/prospects Contract Renewals: Facilitates customer contract renewals and negotiations to protect revenue Leverages internal resources to understand customers contractual obligations around notice periods, renew terms, Equinix exposure Identifies at risk accounts, expiring contracts and potential churn to proactively addresses high risk customers leveraging internal resources and external partners Pipeline Management: Provides updates on all active accounts and reports on activities and progress on a weekly basis Actively monitors and maintains status of opportunities in SFDC, following the principles of forecasting Drives proactive campaigns to build the sales pipeline, uses specialized knowledge and skills to prospect and qualify opportunities Territory Planning: To build the territory plan to meet the goals and objectives of Equinix Prioritizes list of accounts/prospects for short and long-term pursuit to achieve assigned sales objectives for assigned territory/account patch Provides accurate market information and forecasts May focus on particular vertical or sub-vertical within a dedicated sector Collaborate with cross functional and with the extended sales team to build the vertical / account-based strategy to increase mind and wallet share Develops mechanism to track competitor landscape and build strategy to increase mind and wallet share in assigned territory / account patch Prospecting: Demonstrates hunter mentality to actively pursue solution opportunities in acquisition and development accounts, and to pursue new business Contributes to building a pipeline by generating leads and referrals from prospect accounts and building on existing business within the account Actively plans and prospects into accounts via outreach, Discovery calls and opens initially qualified opportunities and delivers Platform Equinix Elevator pitch Understands the role of each persona and how the company's solutions differentially address specific vertical industry challenges as well as their cross-segment capabilities Applies specialized technical product/service/solution knowledge to assess customers business and identify opportunities to maximize Equinix mind and wallet share in the account Capable of engaging in both technical and business conversations at multiple levels of the organization, including with C and VP level people in Data Center, Digital transformation AI/GenAI, Sustainability etc. Use value-added selling skills to propose additional products, services, solutions which will contribute to customer's business Brainstorm, research, and evaluate vertical industry segments for digital transformation, IT transformation, Hybrid multi-Cloud, AI/Machine Learning business use cases and typical customer pain points Negotiation: Facilitates commercial offer and contract negotiations in partnership with Sales Management, leveraging internal resources as needed to obtain best commercial terms possible Understands commercial levers and partners with sales leadership, commercial solutions, and P&L to recommend deal structure Qualifications 7+ years' experience of building strong multimillion-dollar business with large SI, OEMs, Cloud / SaaS Service providers, Data center operators, Carriers Exposure and strong business relationship with key decision makers in Chennai and TN from Financial Services, Manufacturing, Healthcare / Pharmaceuticals, Information Technology & Software Services, Unicorn – FinTech, HealthTech, E-Comm, etc. Strong concept and solution selling expertise to CIO, CTO/CDOs Should have ability connect and present solutions to CXO's of large enterprises Bachelor's Degree - Engineering plus Full time Management Degree required Demonstrated prior success in pipeline and lead generation through prospecting customers to ensure long-term success Previous experience in Sales Development, Business Development or equivalent role with Large Enterprises - BFSI, Manufacturing, Pharmaceuticals promoting IT Infra, Data Center services, SaaS, Cloud, AI/ML, Data Science, or related products Experience with the Challenger Sales Methodology and/or Outcome Based Selling significant plus Good prioritization skills to focus on the key prospecting targets Willingness to take ownership and execute with a positive, can-do, self-starter mentality in a highly collaborative atmosphere Consistently achieves quarterly role metrics for booking and pipeline generation activities Proven track record of quota, new logo and revenue achievement Genuine desire to work to make a difference in a fast space, dynamic organization to create meaningful business and partnerships Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form. Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

Roles & Responsibilities Key Responsibilities: Manage end-to-end delivery of analytics projects related to sales performance, marketing ROI, and promotional effectiveness. Lead execution of MMM and correlation-based analytics to determine key sales and marketing drivers. Collaborate with data scientists, business analysts, and stakeholders to translate business questions into analytical solutions. Define project scope, deliverables, timelines, and resource needs in alignment with business goals. Monitor project progress, identify risks/issues, and proactively manage resolutions to stay on track. Prepare clear, insightful dashboards and reports to communicate findings to business stakeholders. Coordinate between internal teams (Sales, Marketing, Finance) and external vendors/partners for seamless execution. Ensure data quality, governance, and documentation across project lifecycle. Support creation of business cases, presentations, and post-project impact assessments. Required Qualifications Bachelor's/Master’s degree in Analytics, Statistics, Economics, Business, or related fields. 6+ years of experience in business analytics, with 2+ years in a project management role. Hands-on knowledge of Marketing Mix Modeling (MMM) and correlation/regression techniques. Proficient in analytical tools like Python, R, SQL, or SAS and dashboarding tools like Power BI, Tableau, or Qlik. Strong project management skills including planning, risk management, and stakeholder coordination. Experience working with structured/unstructured data from CRM, sales, and marketing systems. Excellent communication, presentation, and storytelling skills. Experience 8-11 Years Skills Primary Skill: Business-Analysis Sub Skill(s): Business-Analysis Additional Skill(s): Marketing Operations, Requirements Development, Insight Generation About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.

As a Data Analyst, you will utilize data analysis tools to extract information from diverse data sources, ensuring the removal of inaccurate or corrupt data. Your responsibilities will include conducting quality analysis tests on data, managing and enhancing databases, and establishing database processes and systems for effective data management. Additionally, you will filter existing data as per the requirements of stakeholders and utilize statistical tools and data analysis techniques to anticipate market trends and present actionable insights. Furthermore, you will be expected to generate detailed reports based on the analyzed data to predict future trends accurately. Proficiency in Tally is essential for this role. Collaboration with team members across various departments, including technical, operations, product, and engineering teams, is crucial to staying informed about data management systems and processes. You will lead Exploratory Data Analysis projects to uncover patterns and trends, necessitating a comprehensive understanding of MS Excel, including Macros and VBA. Familiarity with statistical tools like SAS, SPSS, and other tools based on project requirements is vital. Candidates from a Commerce background with expertise in accounting and finance are preferred for this position. This is a full-time position with benefits such as provided food and paid sick time. The work schedule is during the day, and the candidate should have a minimum of 2 years of relevant work experience. The work location is in person.,

As a Management Application, Library, and Tools Development Engineer, you will play a crucial role in designing and developing software components for Storage Controller, Ethernet NIC, and PCIe Switch. Your responsibilities will include collaborating with various teams such as marketing, architects, silicon development, and QA to deliver high-quality software solutions. You will need to possess a BE degree with at least 2 years of experience in software development within the Storage Management domain. Proficiency in C and C++ programming languages, along with a strong understanding of Ethernet, PCIe, SAS, SATA, SCSI, and NVMe protocols, will be essential for this role. Your role will involve developing tools and applications, implementing unit test automation frameworks, and working on Linux programming, OS internals, memory management, IPC, and thread programming. Additionally, experience with memory profilers, debuggers, emulators, static analysis tools, IDEs, source control systems, and defect tracking systems will be beneficial. Effective communication skills, both verbal and written, will be necessary to articulate ideas clearly and collaborate effectively with team members. Having an M.S or M.Tech degree in EE, CE, or CS, as well as knowledge of uEFI and preboot, would be considered desirable qualifications for this position. Overall, you will be contributing to the full product development cycle, from planning and design to testing and documentation, to ensure the successful delivery of innovative and robust software solutions for storage management applications.,

As a Team Member - Credit Risk Analyst in the Risk Management department based in Mumbai, your main responsibility will be to analyze, model, validate, and document various measures of Credit Risk for Expected Credit Loss and Capital computations. You should have hands-on experience in building, implementing, monitoring, and refining models and scorecards for PD, LGD, EAD, and related Credit Risk metrics using statistical methods or expert judgment based techniques. Your role will require a deep understanding of Credit Risk models and the ability to derive insights from data, communicate effectively with Risk, Credit, and Business teams, and develop Risk Dashboards and analytical reports for Senior Management. You will also be responsible for preparing and submitting reports to regulators and senior management on a periodic and adhoc basis, computing and reporting ECL and related metrics continuously. To excel in this role, you should have 4 to 8 years of experience in Credit Risk related roles in Banks, NBFCs, Consulting Firms, or Rating Agencies. A degree in statistics, mathematics, or econometrics with hands-on experience in statistical model development and implementation would be an advantage. Proficiency in Python, SAS, or R, along with intermediate level SQL skills, is desirable. Strong experience in areas like delinquency or loan loss forecasting and expected credit loss capital computation under advanced approaches is also necessary. Moreover, having skills in automation and data consolidation for risk or financial reporting projects would be beneficial. CA or MBA with FRM certification, understanding of various credit types, proven management and supervisory skills, excellent interpersonal and communication skills, and advanced excel skills are also required for this role. Experience with Python, SQL, or SAS would be an added advantage.,

The role of a Risk Manager in Credit Cards within the Retail Business Risk department at IDFC FIRST Bank involves assessing, managing, and reporting risks associated with the Credit Card vertical. As a Risk Manager, you will be responsible for the end-to-end drafting and implementation of credit policies, as well as effective stakeholder management. Your key responsibilities will include formulating credit card policies based on portfolio performance, defining and implementing intervention strategies for credit lines, portfolio monitoring through key risk metrics, and continuously improving the risk management framework for IDFC First Bank. You will collaborate with the product team to launch revenue-generating products and drive portfolio growth while focusing on retaining identified customer segments. To excel in this role, you should have prior experience in Credit Card Policy, Credit Risk, BIU, or Analytics teams, with a strong understanding of SAS, SQL, Python, Excel, and PowerPoint. You will also be involved in reviewing and assessing the portfolio, evaluating early warning signals, preparing risk assurance reports for senior management, and documenting key risk indicators and controls for critical processes or product launches. The ideal candidate for this position should have a Bachelor's degree in Engineering, Commerce, or Science, along with a Post-Graduation in MBA or PGDM. A minimum of 2 to 5 years of relevant experience is required to be considered for this role.,

Smart infrastructure from Siemens makes the world a more connected and caring place – where resources are valued, where impact on the world is considered, where sustainable energy is delivered reliably and efficiently. It provides the flexible infrastructure to allow society to evolve and respond to changing conditions. Technology and the ingenuity of people come together to be at one with our environments and to care for our world. We do this from the macro to the micro level, from physical products, components and systems to connected, cloud-based digital offerings and services. Siemens offers a broad portfolio of grid control and automation; low- and medium-voltage power distribution, switching and control; and building automation, fire safety and security, HVAC control and energy solutions. Job Title: Substation Automation System (SAS) & Cloud Platform Sales Specialist Location: Thane, Maharashtra, India Department: SI EA PRO We know that a business only thrives if our people are thriving. That’s why we always put our people first. Our global and diverse team would be happy to support you and challenge you to grow in many ways. Who knows where our joint journey will take you? We are SI EA PRO BU Sales. Our business consists of SIEMENS IEDs [Numerical relays, automation FRTUs and associated softwares viz - WINCC, SICAM SCC, SICAM PAS etc]. We are the undisputed leader in India for this business and the products and solutions are deployed for critical Power Transmission, Distribution networks with Utilities, Industries and Infra Projects. We are looking for an expert in Siemens substation automation solutions and cloud based Application (like ElectrificationX) which will encompass the technical skills for: 1. Understanding of customer needs for developing a Substation SAS solution [ex. SCADA] 2. Expert knowledge of the SIEMENS IED and Protection automation [RTUs + Software] portfolio for selection and proposal making 3. Developing the scheme / architecture along with required 3rd party products 4. Experience of Commissioning of SIEMENS SAS solutions 5. Service / repairs etc experience of SIEMENS SAS solutions 6. Experienced in Sales , Partner handling and nurturing 7. Experience in selling and promoting cloud solutions to energy and utility companies (Ex: ElectrificationX ) 8. Experience in demonstrating the value of the Cloud platform's capabilities for improving operational efficiency, enhancing customer engagement, and driving revenue growth. 9. Able to create trainings, customer presentations, business plan and target customers along with Partners for developing the SAS business model via Partners as per the need of the BU. 10. The candidate will be expected to travel across INDIA for customer meetings as well support partners in developing this business 11. The candidate is expected to create a eco-system to nurture this new business model., and provide inputs for allied needs ex. Drawings, submissions, processes, checks to ensure first time excellent solution via Partners supported by SIEMENS. Create a better #TomorrowWithUs! We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us. Protecting the environment, conserving our natural resources, fostering the health and performance of our people as well as safeguarding their working conditions are core to our social and business commitment at Siemens. They are an integral part of our Business Conduct Guidelines and our corporate strategy We’re Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow.

You will be responsible for conducting model validation, audit, and review primarily for credit loss forecasting models in the retail or wholesale domain, specifically for IFRS9/IRB models, including PD/EAD/LGD components. Your role will involve comprehending relevant regulatory requirements, reviewing development documentation, conducting tests and benchmarking, as well as creating challenger models using SAS, R, or Python, and compiling reports. Additionally, you will provide assistance with other model validation, audit, and review tasks as needed, such as Underwriting scorecards, Credit Scoring, behavioral models, economic scenario models, or validation-related automation activities. Your responsibilities will include performing model validation by assessing conceptual soundness, critically evaluating the testing conducted by developers to ensure the model's integrity and accuracy, and determining its suitability. You will design evaluations to test the model's predictive power and robustness under uncertainty, develop alternative benchmark models, and ensure compliance with regulatory standards. Collaboration and proactive engagement with seniors, AMs, and Managers will be essential to meet key project deliverables. You will take responsibility for key deliverables, engage with Partners/Directors to comprehend project scope and business requirements, and coordinate with onshore and offshore teams for successful delivery. Additionally, you will advise non-audit clients on the implications of evolving provision accounting standards (IFRS9) and assist them in validating or developing credit risk measurement models. Qualifications required for this role include an advanced degree in Mathematics, Statistics, Economics, or other analytical disciplines. A graduate degree plus an MBA in Finance, coupled with relevant experience or exposure, is also considered. Additional certifications such as FRM or CFA are preferred. Preferred candidates will have 2-12 years of experience in Risk Management/Analytics at major banks, top tier consulting firms like Big 4, or captives of well-known banks. Proficiency in programming languages such as Python, SAS, and R is required. Advanced skills in statistical and quantitative modeling, including linear regression, logistic regression, ARIMA, Markov Chain, Merton Model, CHAID, and other predictive modeling techniques are essential. In-depth knowledge of regulatory requirements pertaining to model risk management, such as SR11-7, SR15-18, PRA, and EBA guidelines, is also expected.,

You will be a part of KPMG India, a professional services firm affiliated with KPMG International Limited, with offices in various cities across the country. Your role will involve working on Model Validation and Model Development related to Market Risk. You should have proven experience in market risk, risk modeling, or model validation, and be familiar with assessing the conceptual soundness and methodology of models such as Value at Risk, Counterparty Risk Exposure models, Pricing of derivatives, and Stress Test Models. Your responsibilities will include producing high-quality model validation reports, understanding regulations and guidelines for model risk management, and assessing the appropriateness of input data, model assumptions, and parameters. You will also be required to review outcomes, perform benchmark analysis, and identify model limitations. Proficiency in programming languages like SAS, R, Python, and a fair understanding of SQL, along with proficiency in Microsoft Word, Excel, Visio, PowerPoint, and Latex will be advantageous. As part of KPMG India, you will have the opportunity to work with national and international clients across various sectors, providing industry-focused and technology-enabled services based on global and local industry knowledge and experience of the Indian business environment.,

As a member of our Data Analytics team, you will play a crucial role in understanding customers" financial needs and interactions with our products, services, and channels. Your responsibilities will involve various hands-on tasks that require creative thinking, ambition, and a curious attitude towards data. You will be expected to extract valuable insights from data to drive business decisions and strategies effectively. Your typical day will include activities such as identifying patterns of behaviors and events to anticipate customer actions, collaborating with key stakeholders to enhance operational processes, building business cases and test designs for pilot programs, analyzing customer interactions across different channels, developing performance metrics, and creating self-serve tools for real-time decision-making. To excel in this role, you should hold a Bachelor's or Master's Degree in a quantitative field such as Mathematics, Statistics, Economics, or Computer Science, along with at least 5 years of experience in data science. Your ability to adapt, communicate effectively, and work with large datasets using SQL scripts and data analytics tools like SQL, Python, SAS, Tableau, or Alteryx will be crucial for success. Moreover, having a track record of solving business problems through analytical methods, leveraging insights to influence decision-making, and presenting recommendations to senior management will be highly beneficial. Experience in the financial services industry or consulting firms, familiarity with big data disciplines, AWS, Agile methodologies, and new technologies will be considered as preferred qualifications. In this role, you will have the opportunity to make a significant impact on the business by leveraging data-driven insights to drive customer-centric strategies and operational efficiency. If you are a proactive, analytical thinker with a passion for data analytics and a desire to contribute to the success of a banking office, we encourage you to apply for this position and be a part of our dynamic team.,

As a Manager, Behavioral Modeler (Development/Validation) & Researcher Specialist at Genpact, you will be responsible for developing or validating Behavioral Models for banking and financial institutions, focusing on areas such as Financial Crime (Fraud or AML), Marketing Campaigns, and Adjudication models. Your role will involve working closely with the centralized advanced analytics team of banking or financial firms, interacting with various business units, auditors, and model development/validation teams to ensure compliance with Enterprise Modeling Governance standards. Your key responsibilities will include providing analytical support to mitigate risk, assessing data quality for model development, developing machine learning-based models, proposing recommendations to improve monitoring systems, conducting in-depth research on behavioral modeling policies, and contributing to the creation of whitepapers and artifacts. You will be expected to have hands-on experience in developing and validating models, risk management, and applying AI, ML, and Deep Learning techniques using tools such as SAS, Python, and R. The qualifications we seek in you include a Master's degree in a quantitative discipline, experience in statistical modeling, detailed knowledge of data analysis techniques, expertise in SQL, ETL, and strong scripting and automation skills. Additionally, you should possess strong client management, communication, and presentation skills, be self-driven, proactive, and have the ability to work under ambiguity and with minimal supervision. You should also have strong project management experience, the ability to lead projects and teams, and demonstrate expertise in communicating and coordinating across multiple business units. Preferred qualifications/skills include strong networking, negotiation, and influencing skills, as well as prior experience in financial crime and machine learning models. If you are a forward-thinking individual with a hunger for learning and a passion for turning innovative ideas into reality, we invite you to apply for this challenging and rewarding role at Genpact. Please note that this is a full-time position based in India-Kolkata, and the job posting was on Oct 7, 2024.,

Are you seeking an exciting opportunity to join a dynamic and growing team in a fast-paced and challenging environment This unique opportunity allows you to collaborate with the Business team to provide a comprehensive view. Join us as an Associate in the Consumer Credit Forecasting team, where you will play a crucial role in executing credit risk loss forecasting models, diagnosing model accuracy, and conducting advanced analyses to evaluate relationships and patterns that impact loss performance. Your responsibilities will include managing process automation, leading documentation for audit controls related to loss forecasting and reserves, and contributing to the success of our team in a fast-paced setting. The Consumer Credit Forecasting team includes the Business Banking Loss Forecasting team, which is responsible for executing models and providing forecasts of delinquencies, charge-offs, and asset recovery throughout the year. Working in partnership with various departments, this team monitors the health of the portfolio and communicates any concerning trends to the business. As a member of the core forecasting team, you will support US credit forecasting functions through analytical insights, new technologies, and predictive analysis. Job Responsibilities: - Execute credit loss forecasting models for the Chase Business Banking portfolio to support regulatory exercises such as CCAR, CECL, Risk Appetite, and Budget planning - Analyze loss forecasting results and propose model changes for accuracy at granular segments - Collaborate cross-functionally with Risk Management, Finance, Marketing, and Collections to incorporate strategic initiatives into the forecast - Conduct macro sensitivity analytics, loss attribution, and deep dives to assess relationships driving loss performance - Manage process automation using Excel, VBA, Python, or SAS - Develop comprehensive documentation for audit controls related to loss forecasting and reserves - Work on multiple projects with minimal guidance Required Qualifications: - Bachelor's or Master's Degree in a quantitative discipline (Finance/Stats/Econ/Math/Engineering) or equivalent - Minimum 3 years of experience in credit risk analytics, loss forecasting, statistical modeling, or consulting - Proficiency in programming languages such as Python, SAS, and SQL - Expertise in SAS and/or SQL programming (ORACLE, Teradata) - Strong analytical and problem-solving skills with the ability to interpret large datasets - Proficient in Microsoft Office products (Advanced Excel, VBA, PowerPoint) - Well-organized with excellent communication and presentation skills Preferred Qualifications: - Experience collaborating with partners in different geographical locations - Advanced degree in Finance, Economics, Statistics, Mathematics, Computer Science, or related field - Programming language experience including Python or R - Knowledge of regulatory standards such as IFRS9, CECL, CCAR - Experience in mortgage, mortgage servicing, or risk analytics is desirable Join our team and be part of a challenging and rewarding environment where you can contribute to our success and develop your skills in credit forecasting and analytics.,

You should have 5-7 years of experience in Java development and a Bachelor's Degree in Computer Science or a related field. Strong expertise in Java/J2EE technologies is required, along with proficiency in web frontend technologies like HTML, JavaScript, and CSS. You should have knowledge of Java frameworks like Spring MVC and Spring Security, experience with REST APIs, and writing Python libraries. Familiarity with databases (e.g., MySQL, Oracle) and SQL is essential, as well as strong scripting skills in languages like Python, Perl, or Bash. Experience in backend programming with Java/Python/Scala and ability to work on full-stack development using Java technologies are important. Your responsibilities will include designing and developing Java services using the Java Spring Boot framework, implementing, supporting, troubleshooting, and maintaining applications, developing high-standard SAS/Python code and model documentation, working on the release cycle of modern, Java-based web applications, developing automation scripts using Python, and writing efficient, reusable, and reliable Java code. Required Skills: - Strong Java programming skills - Experience with Java Spring framework and Hibernate - Proficient in developing microservices using Java - Knowledge of design patterns and Java frameworks - Hands-on experience with front-end and back-end Java technologies - Familiarity with automation tools like Selenium and Protractor - Good understanding of web services and RESTful APIs - Experience in using ORM frameworks like Hibernate/JPA Additional Skills: - Proficiency in Python or relevant scripting languages - Experience in web/mobile application development - Understanding of high-level JavaScript concepts - Ability to work with automation tools for testing - Knowledge of machine learning, AI, or data science is a plus This is a full-time position with benefits including health insurance and Provident Fund. You should be comfortable relocating to Bangalore and willing to travel. The job type is in-person, with a day shift schedule from Monday to Friday. Master's degree is preferred, and experience in Core Java (6 years), Spring Boot (4 years), and Python (3 years) is required.,

The role of VP Data Scientist in Thane involves driving analytics opportunities in the BFSI sector, overseeing project delivery, managing teams and stakeholders. The ideal candidate should possess a robust background in advanced analytics, with a history of leading impactful analytics solutions and programs for Indian clients. Additionally, the candidate must have experience in establishing and supervising large-scale Business Intelligence units. With over 15 years of relevant experience, the right candidate should showcase expertise in various areas including data processing and data science libraries of Python such as NumPy, Pandas, Scikit learn. They should also demonstrate proficiency in handling massive datasets through tools like Apache Spark, Vaex, Dask, and leveraging them for machine learning algorithms development. Moreover, the candidate is expected to be well-versed in analytical models like promotion optimization, NLP, Cluster Analysis, Segmentation, Neural network models, Logistic Regression, ANN based model, LSTM, Transformers, and more. Familiarity with cloud-based analytics platforms like Azure, GCP, or AWS is crucial. Experience in automating model training, deployment, and monitoring using ML-Ops pipelines is preferred. Key responsibilities for this role include stakeholder management, project planning, scope definition, and project methodology explanation to stakeholders. The VP Data Scientist will lead end-to-end project deliverables, ensure adherence to SOPs, and provide training to junior team members. Managing a team of 20+ data scientists, overseeing project delivery, and addressing business challenges are essential aspects of this role. The ideal candidate should hold a degree in BE/B.Tech./MCA/M.Tech. and demonstrate deep expertise in Python, SAS. They must possess a strong track record of successful project management, stakeholder engagement, and team leadership within the BFSI sector.,

You will become an integral part of the Business Analyst team, where each day will bring a unique opportunity to contribute positively with a can-do attitude and an entrepreneurial spirit. Get ready to roll up your sleeves as this position is essential to the team and offers exposure to various aspects of running a banking office. As a Business Analyst, you will play a crucial role in building automated reports by conducting process analysis and gathering requirements for the Monitoring and Solution team. This position is situated within the Marketing Growth & Innovation organization of Card Services, a significant business unit within Chase's Consumer & Community Banking group. Your responsibilities will include developing automated reports by understanding assigned business processes, assessing requests for new or enhanced reports, and researching, evaluating, and recommending solutions to fulfill those requests. To succeed in report development, you will need to gather and analyze large volumes of data from diverse sources, identify data relationships, review them with report requesters and subject matter experts, and define specific criteria to identify non-compliant accounts based on business requirements. Collaboration with process owners will be essential to review identified accounts and ensure alignment with regulatory and strategic requirements. You will be accountable for thoroughly documenting report designs, collaborating with colleagues to test, review, and implement the developed programs into production, and providing support throughout the report's lifecycle, all while upholding a robust control environment to ensure a stable and secure production platform. Required qualifications, skills, and capabilities: - Bachelor's Degree - 2+ years of report development experience - Proficiency in data analytics using advanced SQL on enterprise database platforms like Teradata and Oracle - Familiarity with SAS (Base 9.4 on Unix platform preferred) for report automation - Ability to source and compile data using ETL tools like Alteryx and create/deploy reports with BI tools such as Tableau - Proficiency in Microsoft Office applications including Access, Excel for data analysis, PowerPoint for executive reports, Word, and Visio for process documentation Preferred qualifications, skills, and capabilities: - Strong relationship-building skills and ability to collaborate at various organizational levels - Independent resolution of complex assignments and adherence to project timelines - Effective written and verbal communication with team members and business process owners - Willingness to work in a fast-paced, results-driven environment, with a keen desire and ability to learn and adapt to new technologies.,

Job Description About the company SBI Card is a leading pure-play credit card issuer in India, offering a wide range of credit cards to cater to diverse customer needs. We are constantly innovating to meet the evolving financial needs of our customers, empowering them with digital currency for seamless payment experience and indulge in rewarding benefits. 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. Join us to shape the future of digital payment in India and unlock your full potential. 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 This role is responsible for monitoring policies and process related to fraud control and collaborating with cross-functional teams to ensure strategy implementation and achieve organizational goals. Role Accountability Conduct process review and collate data output for fraud review process Ensure testing of network and regulatory mandates related to transaction fraud Support management of ACS relationship for SBI Card by collating and sharing requisite data with concerned stakeholders Prepare MIS for rule coverage of disputes Perform UAT and PVT for automation of business policies on system Measures of Success Publishing of on demand MIS as per agreed TAT Accurate Implementation of changes at ACS Process Adherence as per MOU Technical Skills / Experience / Certifications Knowledge of transaction fraud methodologies Knowledge of SAS and SQL Knowledge of UAT/ PVT Competencies critical to the role Written and Verbal Communication Analytical ability and Problem solving Process Orientation Qualification Graduate or Masters Degree in any relevant discipline Preferred Industry FSI