3930 R Jobs - Page 24

To be successful as a Senior Data Analyst you should have experience with: Expertise in SQL, R or Python statistical programming and Data Analysis. Strong knowledge of data and analytics, such as dimension modelling, ETL, Reporting tools, Data governance, Data warehousing, Structured and Unstructured data. Experience of data modelling on both relational, big data and Cloud platforms. Should be able liaise stakeholders and draft requirements documentation. Some other highly valued skills may include: Good understanding of Banking and Financial domain. Strong analytical skills and aptitude for problem solving Great verbal and written communication skills. Able to lead/mentor small-medium size data/Business analyst team with the different technical and functional skills across locations. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based out of Pune. Purpose of the role To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources. Accountabilities Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification. Execution of data cleansing and transformation tasks to prepare data for analysis. Designing and building data pipelines to automate data movement and processing. Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems. Documentation of data quality findings and recommendations for improvement. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc). to solve problems creatively and effectively. Communicate complex information. Complex information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes.

You are looking for a Digital Finance Manager to lead a team and partner with the Digital Business, Tech & Finance teams across SSCM (US) & SSCB (India) to drive business outcomes in a financially prudent manner. You will be responsible for providing analyses, insights and business intelligence that helps identify performance drivers and guide appropriate tactical actions to improve financial outcomes. To be successful in this role, you should have a strong understanding of financial concepts and online retail acumen. You should be eager to research new trends & concepts and have a partnership mindset to enable Digital & Tech teams to deliver experiences, products and solutions while taking responsibility for financial prudence. A bias towards action and outcomes, forward-looking mindset, strong communication skills, an innate drive for learning & mentoring team, and conflict resolution mindset are essential for this position. As a Digital Finance Manager, your core responsibilities will include acting as a Trusted Finance Business Partner, designing, developing & producing insightful financial & business performance reports, dashboards and analyses. You will provide proactive and timely financial analysis to highlight risks and opportunities for better business decisions, analyze financial performance, and root cause variances to forecasts. You will facilitate financial forecasting and planning processes to support monthly forecasting, annual planning, Board of Director meetings, and Earnings Call preparation. Developing business cases for key initiatives, creating robust financial models, and tracking key KPIs are also part of your responsibilities. Additionally, you will be responsible for ensuring a fully staffed and capable team with a strong culture of delivery and camaraderie. Setting goals, measuring & providing mentorship, guiding on career paths, coaching and mentoring associates on improving their business and financial knowledge, and building a culture of driving value and productivity within the team are crucial aspects of your role. The ideal candidate should have 7 - 10 years of prior experience in Retail / Digital Commerce / Finance functions, experience in managing & coaching teams, and experience in P&L analysis / management. Preferred experience includes managing a full P&L, experience in a GCC environment managing stakeholders across time zones, and working in a large matrixed organization. Education qualifications required for this position include a Bachelor's degree in Engineering / Business / Finance, while a Master's degree in Business / Finance or being a qualified finance professional is preferred. Primary skills required for this role include expertise in business and financial analysis using MS Excel, working knowledge of BI reporting & budgeting tools (Power BI, TM1 or equivalent), and working knowledge of the Microsoft Office suite. Understanding & experience in Python / R based analytical packages and a good background in statistical modeling are desired as secondary skills.,

As an Assistant Vice President (AVP) of Analytics specializing in Campaign Validation & Process Excellence at Synchrony, you will play a crucial role in leading a dynamic team to develop and execute the analytics roadmap for our Campaign Validation & Process Excellence team. Working within the India Analytics Hub (IAH) and reporting to the Marketing Measurement leader, you will provide strategic leadership, drive innovation, and deliver scalable solutions to validate marketing measurement products effectively. Your responsibilities will include developing and implementing an actionable analytics roadmap, optimizing current deliveries and solutions, leading validation projects across marketing product suite, collaborating with other teams to enhance campaign setup and execution processes, and managing external vendor teams. You will also be responsible for maintaining documentation, building relationships with US and IAH teams, fostering a culture of innovation and learning, managing people, delivering projects on time, and leading internal initiatives. To excel in this role, you should have 5+ years of hands-on experience in SQL/SAS, project management, BI tools, and marketing analytics. You should possess strong statistical knowledge, problem-solving skills, proficiency in data tools and software, and excellent communication and stakeholder management skills. Desired characteristics include superior thought leadership, storytelling abilities, an innovative mindset, and experience with Python and R. The ideal candidate will hold a degree in Statistics, Mathematics, Economics, Engineering, or a related quantitative field with at least 6 years of relevant analytics/data science experience. Enhanced Flexibility and Choice in work timings are offered, with the position being remote, allowing you to work from home. As an internal applicant, it is essential to understand the role requirements, inform your manager or HRM, update your professional profile, and adhere to eligibility criteria. Join us at Synchrony and be part of a diverse and inclusive workplace that values talent, innovation, and continuous learning.,

NTT DATA is looking for a SQL Developer to join their team in Bangalore, Karnataka, India. As a SQL Developer, you will be responsible for developing complex queries, extracting data using ETL tools, and cleansing and validating both structured and unstructured data. Additionally, you will be involved in creating insurance reports, visualizations, dashboards, and conducting analysis and analytics with a focus on life insurance. The ideal candidate should have a strong proficiency in SQL along with knowledge of tools like EXL, R, and Python. NTT DATA is a global innovator of business and technology services with a commitment to helping clients innovate, optimize, and transform for long-term success. They serve 75% of the Fortune Global 100 and have experts in more than 50 countries. If you are a passionate individual with strong SQL skills and a background in life insurance, this is a great opportunity to be part of an inclusive and forward-thinking organization. Apply now to grow with NTT DATA and contribute to their mission of driving innovation and digital transformation.,

We are looking for a highly skilled Performance Testing Engineer with expertise in Apache JMeter to join our QA team. The ideal candidate will be responsible for designing and executing performance tests, as well as gathering performance requirements from stakeholders to ensure systems meet expected load, responsiveness, and scalability criteria. As a Performance Engineer at Boomi, you will validate and recommend performance optimizations in our computing infrastructure and software. You will collaborate with Product Development and Site Reliability Engineering teams on performance monitoring, tuning, and tooling. Your responsibilities will include analyzing software architecture, working on capacity planning, identifying KPIs, and designing scalability and resiliency tests using tools like JMeter, blazemeter, and Neoload. Essential requirements for this role include expertise in performance engineering fundamentals, monitoring performance using native Linux OS and APM tools, understanding AWS services for infrastructure analysis, and experience with tools like NewRelic and Splunk. You should also be skilled in analyzing heap dumps, thread dumps, and SQL slow query logs, and recommending optimal resource configurations in Cloud, Virtual Machine, and Container technologies. Desirable requirements include experience in writing custom monitoring tools using Java, Python, or similar languages, capacity planning using AI/ML, and performance tuning in Java or similar application code. At Boomi, we offer a culture of caring, continuous learning and development opportunities, interesting and meaningful work, balance and flexibility, and a high-trust environment. If you are passionate about solving challenging problems, working with cutting-edge technology, and making a real impact, we encourage you to explore a career with Boomi. Join us in Bangalore/Hyderabad, India, and be a part of our Performance, Scalability, and Resiliency(PSR) Engineering team to do the best work of your career and make a profound social impact.,

At Teradata, you will play a crucial role as a Sr. Data Scientist by collaborating with the Region Solution Leads, Services sales teams, Teradata Account Teams, and Product Management Team to support them on pre-sales/solutions activities. Your responsibilities will include conceptualizing Use case solutions, supporting Pre-Sales initiatives, and demonstrating strong technical and interpersonal skills along with a deep understanding of Business use cases, Teradata technology, ClearScape Analytics, Teradata applications, Teradata services portfolio, and partner solutions. You will be expected to support account teams and prospective customers in analyzing and understanding customer requirements through extensive data exploration and analysis phases. Additionally, you will lead discussions and conceptualize solutions, develop collateral for engagement and sales, utilize Analytical tools and Deep Learning frameworks to deliver solutions, participate in brainstorming sessions, build solution showcases, and provide mentoring and guidance to Pre-sales opportunities based on customer requirements. As a qualified candidate, you should hold a minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science, or Statistics, preferably a Masters or Doctorate in the relevant field. You are required to have 10+ years of experience in data-driven fields such as BI, DWH, Analytics, etc., with proficiency in programming languages like R, Python, Java, and SQL. A strong understanding of Statistical concepts, Machine Learning, statistical modeling, Artificial Intelligence, Deep Learning, and business understanding in fields like Telco, Retail, Manufacturing, Healthcare is essential. Your technical skill set should include experience with cloud computing platforms like Azure, AWS, Google, exposure to Teradata platform, and experience as a Technical Lead in presales support and delivery activities. You should possess a willingness to learn, collaborative attitude, strong analytical skills, ability to manage critical situations independently, story-building skills, critical thinking, problem-solving skills, excellent communication skills, and the ability to present complex ideas to technical and non-technical audiences effectively. At Teradata, we prioritize a people-first culture, embrace a flexible work model, focus on well-being, and are dedicated to Diversity, Equity, and Inclusion. Join us in fostering an equitable environment that celebrates the diversity of our people and enables personal and professional growth.,

As a Transfer Pricing Executive in the finance domain, you will be a part of a growing analytics and consulting firm based in Kolkata. Our client company focuses on providing data-driven insights and financial intelligence to assist businesses in making informed decisions. Specializing in financial analytics, performance tracking, and custom reporting solutions, we cater to clients across various industries. We are seeking a motivated individual with a finance background and 13 years of experience in financial analysis, data interpretation, and reporting. In this role, you will be instrumental in transforming data into valuable insights to facilitate business and financial decision-making processes. Your responsibilities will include analyzing and interpreting financial and operational data to support forecasting, budgeting, and strategic planning. You will be tasked with preparing detailed financial reports, dashboards, and performance metrics using tools like Excel, Power BI, or Tableau. Collaboration with finance and business teams to understand requirements and deliver actionable insights will be a key aspect of your role. Additionally, you will be responsible for extracting, cleaning, and managing data from various sources such as databases and spreadsheets. To excel in this position, you should hold a Bachelor's degree in Finance, Accounting, Business Analytics, or related fields. A basic understanding of transfer pricing norms and 13 years of hands-on experience in financial data analysis are essential. Proficiency in MS Excel (advanced) and at least one data visualization tool (e.g., Power BI, Tableau), along with basic knowledge of SQL for data querying, is required. Strong analytical and problem-solving skills, as well as good verbal and written communication abilities, are also necessary. While not mandatory, exposure to financial modeling or investment analysis, experience with Python/R for data manipulation and automation, familiarity with accounting or ERP systems (e.g., Tally, SAP, QuickBooks), and professional certifications like CFA (Level 1) or Financial Modeling courses are preferred. Joining our team offers you a dynamic and collaborative work environment, hands-on experience with real financial datasets and business challenges, growth opportunities in financial analytics and business intelligence, and competitive compensation aligned with your experience and market standards. To express your interest in this exciting opportunity, please send your CV to shalu@anthroplace.co.in or contact us at 9230998556.,

The Model Validation Senior Specialist role at Deutsche Bank, based in Mumbai, India, falls under the Model Risk Management department. The primary objective is to manage model risk globally by conducting independent model validation, identifying and mitigating model risks, and supporting the overall model risk management framework. This position focuses on validating stress testing models for the CCAR PPNR umbrella within DB USA, necessitating an understanding of various business segments such as Corporate Banking, Private Banking, and Investment Banking. The incumbent will be responsible for tasks including model performance testing, scenario analysis, and developing challenger models. Automation of processes and framework enhancement to drive efficiency is a key aspect of the role. The ideal candidate should have 2-3 years of experience in model development/validation or related areas, with a preference for previous exposure to stress testing (DFAST/CCAR/ICAAP). Knowledge of B/PPNR models across different business lines and familiarity with financial statements analysis will be advantageous. Proficiency in statistical techniques, analytical skills, and experience with software packages like R and Python are essential. Strong communication skills, report drafting abilities, and a background in Mathematics, Statistics, Economics, Engineering, or MBA are preferred. Additionally, holding a CFA/FRM certification or expertise in Business Intelligence tools will be beneficial for the role. Deutsche Bank offers a comprehensive benefits package that includes a competitive leave policy, gender-neutral parental leaves, childcare assistance benefit, sponsorship for industry certifications, and healthcare coverage for employees and dependents. The organization emphasizes training, coaching, and continuous learning to support career progression. The culture at Deutsche Bank promotes responsibility, commercial thinking, initiative, and collaboration, fostering an environment where employees are empowered to excel together every day. For more information about Deutsche Bank and its teams, please visit the company website at https://www.db.com/company/company.htm. The company values diversity and inclusivity, encouraging applications from individuals of all backgrounds to contribute to a positive and fair work environment.,

About Klook Klook is Asia's leading platform for experiences and travel services, dedicated to bringing the world closer together through unique and unforgettable experiences. Founded in 2014 by three passionate travelers - Ethan Lin, Eric Gnock Fah, and Bernie Xiong, Klook offers over half a million curated quality experiences in 2,700 destinations worldwide. From iconic attractions to adventurous activities like paragliding, from cultural tours to convenient local travel services, Klook aims to inspire and enable more moments of joy for travelers around the globe. Do you share our belief in the transformative power of travel Join our international community of over 1,800 employees across 30+ locations who are not only curating memorable experiences but also co-creating a world of joy within Klook. At Klook, we work hard and play hard, maintaining a high-performing culture guided by our six core values: Customer First, Push Boundaries, Critical Thinking, Build for Scale, Less is More, and Win as One. We constantly strive for excellence and believe in reaching greater heights in the ever-evolving travel industry. If you are passionate about travel and innovation, come be a part of our revolution! As a Data Scientist in the Pricing Strategy team, you will be instrumental in driving data-driven decision-making and optimizing pricing strategies. Your role will involve developing and implementing dynamic pricing models, predictive and prescriptive analysis, and contributing to revenue growth and market competitiveness. What You'll Do Dynamic Pricing Model Development: Create and implement advanced dynamic pricing models to optimize product pricing across different channels and markets. Predictive Analytics: Utilize predictive modeling techniques to forecast demand, market trends, and customer behavior for proactive pricing adjustments. Prescriptive Analysis: Use prescriptive analytics to identify optimal pricing strategies aligned with specific business objectives and constraints. Data Exploration and Analysis: Conduct thorough data exploration and analysis to extract valuable insights for informing pricing decisions. Model Evaluation and Refinement: Continuously assess and refine pricing models to ensure accuracy and effectiveness. Collaboration: Work closely with cross-functional teams such as marketing, sales, and finance to align pricing strategies with overall business goals. Stay Updated: Keep abreast of the latest advancements in data science and pricing optimization techniques. What You'll Need Master's degree or PhD in Data Science, Statistics, Computer Science, Economics, or a related field. 3-4 years of relevant experience in Data Science. Proficiency in Python or R for programming, data manipulation, analysis, and visualization using libraries like Pandas, NumPy, Matplotlib, and Seaborn. Knowledge of machine learning algorithms (e.g., regression, classification, clustering, time series analysis) and statistical modeling. Familiarity with data warehousing and cloud computing platforms (e.g., AWS, GCP, Azure) is a plus. Strong problem-solving and analytical skills. Ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Passion for data-driven decision-making and a continuous learning mindset. Klook is committed to being an equal opportunity employer, welcoming talented and passionate individuals from diverse backgrounds. We believe in fostering an inclusive workplace where everyone has an equal opportunity to thrive. Join us in creating a supportive and inclusive culture where every individual belongs.,

As an Associate Product Specialist at Mastercard, you will be part of the Consumer Acquisition & Engagement team, a product-centric organization dedicated to developing, commercializing, and enhancing offerings that utilize data and marketing technology to drive clients" marketing performance and business outcomes. Your role will involve leading the design and execution of A/B tests, campaign analytics, and test-control methodologies. Additionally, you will perform in-depth analysis on customer journeys, marketing funnels, and portfolio performance, and develop predictive models to support segmentation, personalization, and targeting strategies. Your expertise will be crucial in providing thought leadership in marketing measurement and performance optimization and translating insights into actionable strategies through clear storytelling and stakeholder engagement. To qualify for this position, you should hold an undergraduate degree with 1-2 years of analytical experience in consulting, analytics, or data science, focusing on marketing analytics. Proficiency in tools like SQL, Python, R, or SAS is essential, along with a strong foundation in A/B testing, test-control analysis, and statistical modeling. Effective communication skills, particularly in translating insights with clarity and executive presence, are key requirements. Experience with data visualization platforms such as Tableau or Power BI is preferred. You should possess analytical, interpretive, and problem-solving skills, as well as advanced skills in Word, Excel, and PowerPoint. An ability to manage multiple tasks in a fast-paced environment and communicate proficiently in English and the local office language is necessary. Preferred qualifications for this role include experience in digital marketing, lifecycle campaigns, or customer analytics, as well as exposure to GenAI tools for marketing insight generation or automation. Holding a master's degree in Data Science, Statistics, Econometrics, Marketing, or a related field is considered a plus. Furthermore, as part of your corporate security responsibility at Mastercard, you are expected to adhere to security policies, ensure the confidentiality and integrity of accessed information, report any suspected security violations, and complete mandatory security trainings to safeguard Mastercard assets, information, and networks.,

You are an experienced Fraud & Risk professional who will be a valuable addition to our team. Your primary responsibility will involve developing and executing advanced fraud detection strategies, conducting detailed investigations, and offering insights to enhance risk management processes. Your key responsibilities will include: - Developing and implementing advanced fraud detection models and strategies. - Conducting thorough investigations on complex fraud cases. - Analyzing large datasets to identify trends and anomalies. - Providing insights and recommendations to enhance fraud prevention measures. - Collaborating with cross-functional teams to improve risk management processes. - Mentoring junior analysts and guiding them on best practices. - Staying updated with emerging fraud trends and technologies. To qualify for this role, you should have: - A Bachelor's or Master's degree in Finance, Economics, Data Science, or a related field. - Proven experience in fraud detection and risk management. - Strong analytical and problem-solving skills. - Proficiency in data analysis tools such as SQL, Python, and R. - Excellent communication and leadership abilities. - The capability to work both independently and collaboratively within a team. - Knowledge of industry regulations and compliance standards. If you have a passion for fraud prevention, a keen eye for detail, and a desire to make a significant impact in the field of risk management, we encourage you to apply for this position.,

As a GIS & Digital Twin Expert at Sustainability Economics.ai, you will play a crucial role in the organization's mission to lead E2E Net-Zero transitions with an automation-first approach. Your responsibilities will include geospatial data analysis, handling and storing various types of geospatial files, developing GIS solutions using tools like QGIS and ArcGIS, conducting advanced spatial analysis, collaborating with cross-functional teams, and ensuring the reliability of spatial digital twin environments. To excel in this role, you should possess a Bachelors or Masters degree in GIS, Geomatics, Computer Science, Engineering, or a related field. Proficiency in GIS platforms such as ArcGIS and QGIS, as well as experience with digital twin environments like Azure Digital Twins and Siemens, will be essential. Additionally, you should have a strong technical and analytical mindset, excellent troubleshooting skills, and the ability to communicate complex concepts effectively. As part of our team at Sustainability Economics.ai, you will enjoy benefits such as ESOPs, Group Medical Coverage, 30 days of Leave, and a gender-neutral leave policy. We are looking for a passionate individual who is eager to contribute to our vision for sustainability and make a meaningful impact in the field of GIS and Digital Twin technology. If you are a self-motivated team player with excellent time management and problem-solving skills, we invite you to join us on this exciting journey towards a more sustainable future.,

This role could be based in India, China, Malaysia or Singapore. When you start the application process you will be presented with a drop down menu showing all countries, please ensure that you only select a country where the role is based. This is a pivotal role that bridges the gap between advanced AI technologies and delivery of AI use cases of the bank. As a candidate for this position, you will be responsible for designing, optimizing, and managing AI prompts to enhance the performance of language models, ensuring they align with business objectives. Additionally, the role requires analyzing complex datasets to extract actionable insights, supporting strategic initiatives and enhancing operational efficiency. The ideal candidate will possess a unique blend of technical expertise in AI and data analytics. You will be part of the AI squad and work closely with internal staff, clients and 3rd parties. In this role, your key responsibilities will include delivering, building and maintaining the solutions to AI use cases and augmenting functionalities of AI tools of the bank. You will accelerate the delivery of AI use cases for various Business & Functions of the bank with a focus on designing and optimizing AI prompts, analyzing large datasets, collaborating with cross-functional teams, ensuring continuous improvement, and providing documentation and training to team members. As part of your accountabilities, you will be accountable for the quality and performance of AI prompts and data analysis outcomes, ensuring they meet the bank's standards and objectives. You will also be responsible for ensuring all AI and data-related activities adhere to regulatory and compliance requirements, as well as delivering actionable insights and effective AI solutions that satisfy the needs of internal stakeholders and support the bank's strategic goals. You will work with a team of data science analysts and full stack AI developers to ensure all data handling and analysis processes comply with the bank's data privacy and cybersecurity standards. Additionally, you will develop and implement change management plans to ensure successful adoption of AI solutions across the organization and provide training and support to business users to help them understand and leverage AI tools and technologies. Foster a culture of innovation and continuous improvement by promoting the benefits of AI and encouraging experimentation. You should have software development experience using .Net framework or Java, completed real-world ML, NLP, and DO projects using R or Python, extensive experience in SQL and NoSQL database design, queries, and stored procedures, hands-on experience with Windows Server, Azure, AWS, and Git, proficiency in data visualization tools, strong query language skills (SQL, Hive, ETL, Hadoop, Spark, R, Python), experience with Business Intelligence tools and Decision Support Systems, strong data analysis skills using various tools like Hive, Spark, R, Python, Dremio, MicroStrategy, and Tableau, and proven experience in working with key stakeholders within the business. The ideal candidate should have a Graduate or Master Knowledge Engineering or Data Science education, training in completing real-world ML, NLP, and DO projects using Python, and proficiency in English language. If you are looking for a purposeful career with a bank that makes a positive difference, Standard Chartered is looking for talented individuals like you. Join us in driving commerce and prosperity through our unique diversity and be part of an inclusive and values-driven organization that celebrates differences and advocates inclusion.,

You will be joining a pioneering AI team where you will be responsible for designing and deploying cutting-edge deep learning solutions for computer vision and audio analysis. Your main tasks will include designing, developing, and optimizing deep learning models for image/video analysis (object detection, segmentation) and audio classification tasks. You will work with CNN architectures, Vision Transformers (ViT, Swin), and attention mechanisms (SE, CBAM, self/cross-attention) to address complex real-world challenges. In this role, you will process multi-modal data including video and audio. For video, you will apply spatiotemporal modeling (3D CNNs, temporal attention), while for audio, you will extract features (spectrograms, MFCCs) and build classification pipelines. You will also utilize pretrained models through transfer learning and multi-task learning frameworks, and optimize models for accuracy, speed, and robustness using PyTorch/TensorFlow. Collaboration with MLOps teams to deploy solutions into production is a key aspect of this role. Your required skills include advanced programming in Python (PyTorch/TensorFlow), expertise in computer vision concepts such as Vision Transformers, object detection techniques (YOLO, SSD, Faster R-CNN, DETR), and video analysis methods including temporal modeling. Additionally, you should have experience in audio processing, attention mechanisms, transfer learning, and training strategies. Experience in handling large-scale datasets and building data pipelines is also essential. Preferred qualifications for this role include exposure to multi-modal learning, familiarity with R for statistical analysis, and a background in publications or projects related to computer vision or machine learning conferences such as CVPR, NeurIPS, ICML. Please note that this position is for a client of Hubnex Labs, and selected candidates will work directly with the client's AI team while representing Hubnex.,

As a qualified candidate for this role, you should possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. You should also have extensive experience in AI/ML, specifically focusing on Generative AI technologies. Demonstrated success in leading and delivering complex AI projects is essential for this position. Your expertise should include a strong understanding of GenAI frameworks, tools, and methodologies. You must exhibit excellent problem-solving skills, strategic thinking abilities, and proficient project management capabilities. Effective communication and collaboration with diverse teams and stakeholders are crucial aspects of this role. Experience with cloud platforms and AI deployments in cloud environments, with a preference for Azure, is highly desirable. Preferred skills for this role include hands-on experience with GenAI-based products and prompt engineering. Proficiency in text analytics/NLP, encompassing machine learning techniques and algorithms, is advantageous. You should be skilled in text mining, parsing, and classification using state-of-the-art techniques. Expertise in the Microsoft technology stack and knowledge of client-side scripting (JavaScript and jQuery) are beneficial. Understanding ethical AI principles and implementing best practices is expected. Proficiency in programming languages such as Python, R, Java, and Regex expressions is required. Experience using requirement management tools like TFS is beneficial. Strong verbal and written communication skills are essential, along with the ability to influence peers and leadership positively.,

You should have 2 to 6 years of experience with expertise in Power BI, SQL, and DAX along with excellent written and verbal communication skills. As a consultant to our clients, you will need to think creatively and develop visualization solutions to address their business challenges. A strong passion for learning is essential, combining consulting skills with design expertise in visualization. You should demonstrate drive and energy to thrive in an entrepreneurial setting. Your responsibilities will include delivering projects across various industries and analytics domains such as Supply chain, Marketing, Customer, Digital, and Pricing Analytics. Proficiency in at least one visualization tool is crucial, along with strong communication, storyboarding, and presentation abilities. The ideal candidate should be proficient in PowerBI, Tableau, Qlik, or Spotfire, with a bonus for coding skills in R/Python and mastery in SQL and query languages. Experience with visualization tools like PowerBI, Tableau, or Qlik for 2+ years is preferred. Effective communication, understanding of business requirements, and organizational skills are key requirements. Knowledge of efficient coding standards, planning for QC checks, and familiarity with Cloud hosting and customizing visualization tools using DAX are advantageous. If you meet the criteria and are interested in this opportunity, please send your resume and cover letter to recruitment@quantzig.com.,

Bluevine is transforming small business banking with innovative solutions like checking, lending, and credit, all tailored to help entrepreneurs thrive. With best-in-class technology, advanced security, and a deep understanding of the small business community, Bluevine is empowering entrepreneurs to grow with confidence. Backed by leading investors like Lightspeed Venture Partners, Menlo Ventures, 83North, and Citi Ventures, Bluevine has been supporting SMBs since 2013, serving over 750,000 customers nationwide and growing a dynamic global team of 500 people. The mission of Bluevine is to fuel small businesses with the financial tools they need to succeed. At Bluevine, you will be part of a collaborative, fast-paced team that is reshaping the future of banking. Are you ready to make an impact This is a hybrid role at Bluevine. The company prides itself on its collaborative culture, which is believed to be best maintained through in-person interactions and a vibrant office environment. All offices have reopened in accordance with local guidelines and are following a hybrid model. In-office days will be determined by location and discipline. Role Summary: Bluevine is looking for a skilled and motivated Credit Strategy Analyst II to join the Credit and Pricing Strategy team. This role requires a strong analytical mindset with hands-on experience in analysis, strategy development, and real-time automated decisioning. The candidate will be responsible for designing, optimizing, and implementing risk and pricing strategies by leveraging analytics, automated decisioning systems, and statistical models to drive top-line growth and profitability. This position sits at the intersection of strategy, analytics, and engineering, ensuring that strategies are effectively implemented in production through internal decision engines. The ideal candidate should possess business acumen, technical expertise, and a good understanding of risk-based decision-making in a high-growth financial environment. Responsibilities: - Develop and Optimize Strategies: Build, refine, and implement data-driven risk and pricing strategies, balancing credit risk and funding. - Automated Decisioning & Implementation: Define and develop end-to-end automated decision workflows, integrating them into internal digital underwriting engines using Python. - Analytics: Perform in-depth analysis on large datasets to identify patterns, assess risk, and refine pricing strategies, ensuring data-driven decision-making. - Experimentation & Continuous Optimization: Design and execute A/B tests to refine decision-making processes. - Cross-Functional Collaboration: Work closely with Data Engineering, Product, and Data Science to gather insights and conduct analysis of potential strategies. - Monitoring & Feedback Loops: Develop and maintain dashboards to track key performance metrics. What are we looking for - Technical Proficiency: Strong foundation in SQL and Python/R. - Analytical & Problem-Solving Skills: Ability to translate raw data into actionable insights, leveraging statistical techniques and data visualization tools. - Communication: Ability to translate complex analytical concepts into business-friendly insights for stakeholders. - Adaptability & Entrepreneurial Mindset: Thrives in fast-paced, high-growth environments, handling ambiguity with confidence. - Experimentation & Optimization: Experience with A/B testing and iterative improvements in decision-making process. Required Experience and Education: - Bachelor's Degree in a quantitative field (Mathematics, Statistics, Economics, Engineering, Data Science, or related disciplines). - 1-2 years of relevant experience in analytics/strategy. - High proficiency in SQL, Python/R, and Excel. - Knowledge of dashboarding tools like Tableau, Power BI, Metabase, etc. Not required, but a plus: - Familiarity with risk modeling, credit decisioning frameworks, and pricing elasticity analysis. - Experience in financial services, especially U.S. banking, fintech, credit line, or credit card industries. - Exposure to machine learning models and deployment in risk/credit decisioning. Benefits & Perks: - Excellent group health coverage and life insurance. - Stock options. - Hybrid work model. - Meal allowance. - Transportation assistance (terms and conditions apply). - Generous paid time off plan, Holidays. - Company-sponsored mental health benefits. - Financial advisory services for both short- and long-term goals. - Learning and development opportunities to support career growth. - Community-based volunteering opportunities.,

As a high-impact AI/ML Engineer, you will lead the design, development, and deployment of machine learning and AI solutions across vision, audio, and language modalities. You will be an integral part of a fast-paced, outcome-oriented AI & Analytics team, collaborating with data scientists, engineers, and product leaders to translate business use cases into real-time, scalable AI systems. Your responsibilities in this role will include architecting, developing, and deploying ML models for multimodal problems encompassing vision, audio, and NLP tasks. You will be responsible for the complete ML lifecycle, from data ingestion to model development, experimentation, evaluation, deployment, and monitoring. Leveraging transfer learning and self-supervised approaches where appropriate, you will design and implement scalable training pipelines and inference APIs using frameworks like PyTorch or TensorFlow. Collaborating with MLOps, data engineering, and DevOps teams, you will operationalize models using technologies such as Docker, Kubernetes, or serverless infrastructure. Continuously monitoring model performance and implementing retraining workflows to ensure sustained accuracy over time will be a key aspect of your role. You will stay informed about cutting-edge AI research and incorporate innovations such as generative AI, video understanding, and audio embeddings into production systems. Writing clean, well-documented, and reusable code to support agile experimentation and long-term platform development is an essential part of this position. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field, with a minimum of 5-8 years of experience in AI/ML Engineering, including at least 3 years in applied deep learning. In terms of technical skills, you should be proficient in Python, with knowledge of R or Java being a plus. Additionally, you should have expertise in ML/DL Frameworks like PyTorch, TensorFlow, and Scikit-learn, as well as experience in Computer Vision tasks such as image classification, object detection, OCR, segmentation, and tracking. Familiarity with Audio AI tasks like speech recognition, sound classification, and audio embedding models is also desirable. Strong capabilities in Data Engineering using tools like Pandas, NumPy, SQL, and preprocessing pipelines for structured and unstructured data are required. Knowledge of NLP/LLMs, Cloud & MLOps services, deployment & infrastructure technologies, and CI/CD & Version Control tools are also beneficial. Soft skills and competencies that will be valuable in this role include strong analytical and systems thinking, effective communication skills to convey models and results to non-technical stakeholders, the ability to work cross-functionally with various teams, and a demonstrated bias for action, rapid experimentation, and iterative delivery of impact.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services leveraging deep industry experience with strong functional capability and product knowledge. The FSO practice offers integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers, insurance and energy trading companies, and Corporate Treasury functions of leading Fortune 500 Companies. The service offerings include market, credit, and operational risk management, regulatory advisory, quantitative advisory, technology enablement, and more. Within EY's FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions to help clients identify, measure, manage, and monitor market, credit, operational, and regulatory risks associated with trading, asset-liability management, and capital markets activities. The Credit Risk (CR) team within FSRM assists clients in designing and implementing strategic and functional changes across risk management within banking book portfolios of large domestic and global financial institutions. Key Responsibilities: - Demonstrate deep technical capabilities and industry knowledge of financial products, particularly lending products. - Stay informed about market trends and demands in the financial services sector and issues faced by clients. - Monitor progress, manage risk, and communicate effectively with key stakeholders. - Mentor junior consultants and review tasks completed by them. - Work on projects involving model audits, validation, and development activities. Qualifications, Certifications, and Education: Must-have: - Postgraduate degree in accounting, finance, economics, statistics, or related field with at least 3 years of related work experience. - Understanding of climate risk models, ECL, stress testing, and regulatory requirements related to credit risk. - Knowledge of Credit Risk and Risk Analytics techniques. - Hands-on experience in data preparation, manipulation, and consolidation. - Strong documentation skills and ability to summarize key details effectively. - Proficiency in statistics, econometrics, and technical skills in Advanced Python, SAS, SQL, R, and Excel. Good-to-have: - Certifications such as FRM, CFA, PRM, SCR. - Experience in Data/Business Intelligence Reporting and knowledge of Machine Learning models. - Willingness to travel and previous project management experience. EY exists to build a better working world, creating long-term value for clients, people, and society while building trust in capital markets. EY teams across 150 countries provide trust through assurance and help clients grow, transform, and operate in various sectors like assurance, consulting, law, strategy, tax, and transactions, addressing complex issues globally.,

The job holder will be a part of the Scenario Design Team involved in designing, maintaining, and enriching regulatory and management stress scenarios for the Bank at the group and country level. As part of the 2LoD Scenario Design team, you will review scenario narratives and projections produced by 1LoD. Your responsibilities will include generating ideas about the types of scenarios to run for management and regulatory stress tests, producing papers for Expert Panels and Committees, and presenting to senior management. You will support the Head of the Scenario Design Team with key activities related to strategy and contribute to the development of a robust operational risk framework for scenario design processes. You are expected to have a broad awareness and understanding of the business model and risk profile, as well as an understanding of the bank's enterprise risk management framework, governance related requirements, stress testing, and scenario analysis capabilities. You will design and build controls for scenario analysis, evaluate existing controls, and contribute to designing new controls as required. Additionally, you will work with team members in a collaborative manner, fostering a culture of knowledge sharing and learning. You should have work experience as an economist (macroeconomic or environmental economist), econometrician, or quantitative analyst. Prior experience in developing projections in a banking environment, particularly climate risk scenarios, is desirable. A strong communicator with good written communication skills in English, you should be able to explain complex matters in simple terms and track and report progress updates of multiple areas against milestones. Your academic and professional background should be degree qualified in a numerate discipline (e.g., economics, statistics, mathematics, engineering, sciences) with some familiarity with wholesale and/or retail banking. You should possess 8-12 years of strong experience in Credit Risk Management, be a good organizer, have an ownership mindset, and be proactive, problem-solving, and helpful. Proficiency in MS Excel and PowerPoint, as well as experience with coding in SAS, R, Python, and econometric/statistical model building, is required. Experience with IFRS9, IRB, and stress testing models is preferred. Standard Chartered is an international bank that values diversity and inclusion, driven by the purpose to drive commerce and prosperity. If you are looking for a career with purpose and want to work for a bank making a difference, this opportunity might be for you. The organization offers various benefits including core bank funding for retirement savings, medical and life insurance, time-off benefits, flexible working options, proactive wellbeing support, continuous learning opportunities, and an inclusive and values-driven culture.,

You will be joining the S&C Global Network team as an AI - Healthcare Analytics Manager at Accenture. In this role, you will be based in either Bangalore or Gurgaon. You must possess strong skills in R, Python, SQL, Spark, Tableau, and Power BI. Additionally, having the ability to leverage design thinking, business process optimization, and stakeholder management skills would be beneficial. As a Manager in this position, your responsibilities will include providing strategic advisory services, conducting market research, and developing data-driven recommendations to enhance business performance. You will be driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. You will have the opportunity to work on high-visibility projects with top Pharma clients globally. Collaborating with leaders in strategy, industry experts, and business intelligence professionals, you will shape innovative solutions that leverage emerging technologies. Personalized training modules will be provided to develop your strategy & consulting acumen, industry knowledge, and capabilities. You will be part of a culture committed to accelerating equality for all and engage in boundaryless collaboration across the organization. In this role, you will support the delivery of consulting projects for global clients, manage daily operations within the team, and guide team members towards driving solution delivery to clients. You will also participate in client discussions, develop new industry Point of View (PoV), and translate complex analytical findings into clear reports and presentations for stakeholders. Your professional and technical skills should include relevant experience in the required domain, strong analytical, problem-solving, and communication skills, and the ability to work in a fast-paced, dynamic environment. You will have the opportunity to work on innovative projects, experience career growth, and gain leadership exposure. To be eligible for this role, you should have 8-12 years of experience and hold a Bachelor's or Master's degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative fields.,

About Credit Saison India Established in 2019, Credit Saison India (CS India) is one of the country's fastest-growing Non-Bank Financial Company (NBFC) lenders, operating in wholesale, direct lending, and tech-enabled partnerships with other NBFCs and fintech companies. Its tech-enabled model, combined with strong underwriting capabilities, enables lending at scale to address India's significant credit gap, especially within underserved and underpenetrated segments of the population. CS India is dedicated to expanding as a lender and enhancing its offerings in India for the long term, focusing on MSMEs, households, individuals, and more. Registered with the Reserve Bank of India (RBI), CS India holds an AAA rating from CRISIL and CARE Ratings. Currently, CS India boasts a network of 45 physical offices, servicing 1.2 million active loans, managing an AUM exceeding US$1.5 billion, and employing approximately 1,000 professionals. As part of Saison International, a global financial company, CS India aligns with the mission of fostering resilient and innovative financial solutions through the integration of people, partners, and technology for positive impact. Saison International, headquartered in Singapore, operates across various countries including Singapore, India, Indonesia, Thailand, Vietnam, Mexico, and Brazil. Roles & Responsibilities: - Conduct portfolio analysis and monitor portfolio delinquencies at a micro level to identify segments, programs, locations, and profiles that are performing well or are delinquent. - Assist in developing credit strategies across the customer lifecycle, including acquisitions, management, fraud prevention, and collections. - Identify trends through comprehensive analytics on various portfolio cuts. - Provide analytical support for internal portfolio reviews and enhance portfolio quality. - Collaborate with the Product and Engineering teams to implement risk strategies effectively. - Work with the Data Science team to offer insights on key model variables and optimize risk models" cutoff points. - Gain a thorough understanding of various data sources, both traditional and alternate, and utilize them optimally in underwriting. - Demonstrate proficiency in unsecured credit products and convert business challenges into analytical solutions. Required Skills & Qualifications: - Bachelor's degree in Computer Science, Engineering, or a related field from a reputed institution (IIT/IIIT/NIT/BITS). - 2-5 years of experience in Data Science, Risk Analytics, or Risk Management, with a focus on building models, risk strategies, or generating risk insights. - Proficiency in SQL and other analytical tools/scripting languages like Python or R. - Deep understanding of statistical concepts, including descriptive analysis, experimental design, Bayesian statistics, confidence intervals, and probability distributions. - Proficient in statistical and data mining techniques, as well as machine learning techniques such as decision tree learning. - Experience working with both structured and unstructured data. - Preferred experience in Fintech or Retail/SME/LAP/Secured lending.,

As an Actuarial Analyst at Forvis Mazars, you will have the opportunity to work in either the Non-Life or Life insurance area, contributing to a wide range of projects that add significant value to our growing UK business. Your role will involve a combination of external audit work during the financial reporting season and actuarial consultancy projects throughout the rest of the year. We are seeking a self-starting, positive, and driven individual with a passion for excellence in all projects. Your role will require a high level of technical expertise, a commitment to delivering quality work within tight deadlines, and the ability to manage multiple projects simultaneously. As part of the Mazars Consulting team, you will be a confident communicator comfortable engaging with both existing and potential clients. Collaboration within a team and independent work are equally important in this role. In addition to your day-to-day responsibilities, there will be opportunities for advancement to more senior positions in the future. Our key clients include Proprietary Life and General insurance companies, Mutuals, Lloyds syndicates, the PRA, and FCA. Your responsibilities will include: - Supporting the delivery of general insurance external/internal audit support work - Providing actuarial consultancy to regulators, brokers, insurers, and reinsurers - Ensuring engagements meet high technical standards and regulatory requirements - Maintaining up-to-date knowledge of general/life insurance practices and standards - Developing junior staff through effective supervision and mentoring - Creating a compelling work environment for personal and professional growth - Acting as a key team contact internally and externally To be successful in this role, you should have: - 2 to 3 years of experience in insurance, particularly in financial reporting or valuation - Part or nearly Qualified actuary status - Strong Excel/VBA/Access skills and familiarity with actuarial software such as R, Prophet, ResQ, or Igloo - Excellent communication skills, attention to detail, and time management abilities - A proactive approach to self-development and team collaboration - A focus on delivering high-quality work and fostering positive client and colleague relationships At Forvis Mazars, we value diversity and inclusion, recognizing that it strengthens our business. We are committed to flexible working arrangements that promote work-life balance and welcome applications from individuals returning to employment after a career break.,

As a technology-led healthcare solutions provider, our purpose at Indegene is to enable healthcare organizations to be future-ready. We offer accelerated global growth opportunities for individuals who are bold, industrious, and nimble. Joining Indegene means embarking on a unique career journey that celebrates entrepreneurship and is fueled by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the intersection of healthcare and technology, visit www.careers.indegene.com. If you are looking to kickstart your career, the first few years are crucial as they lay the foundation for your professional journey. At Indegene, we guarantee a distinctive career experience where you will work at the dynamic crossroads of healthcare and technology while being mentored by industry experts. Our global fast-track career path aligns with Indegene's rapid growth trajectory, offering you immense opportunities for personal and professional development. We are driven by our purpose to enable healthcare organizations to be future-ready, with customer obsession as our core driving force. Our approach is characterized by bold actions, nimble decision-making, and industrious work ethics. **Senior Manager - Data & Analytics** **Responsibilities:** - Manage a variety of commercial analytics projects, focusing on marketing mix, customer, and brand performance analytics with expertise. - Utilize popular analytics tools such as Python/R and statistical/data science packages to deliver diverse analytics projects. - Solve complex analytics problems including customer scoring & affinity modeling, customer segmentation, promotion response & marketing mix modeling, customer journey, NBA, and sales force analytics/SFE. - Execute a range of analytics projects spanning data wrangling, AI/ML, business intelligence, ad-hoc analytics, and complex business operations projects based on client requirements. - Provide technical and business leadership to junior team members, preparing them for increased responsibilities. - Collaborate with team members to drive innovation through automation, new ideas, capabilities, and tools. - Lead client communication by providing regular updates, insights, and recommendations via appropriate channels. - Effectively communicate insights and information to various stakeholders through exceptional oral and written skills. **Desired Profile:** - 8 years of relevant experience. - Proficiency in managing small and large datasets using Excel/VBA, MS Access/SQL Server, Python/R. - Knowledge of statistics and the ability to run predictive/machine learning models in Python/R. - Capability to automate SFE dashboards/processes in Excel/PPT or other platforms per client requirements. - Experience in pharmaceutical commercial analytics is essential. - Strong presentation and communication skills. **Nice to have:** - Experience with data visualization platforms like Tableau, Power BI, QlikView. - Ability to perform advanced analytics analyses such as regression analysis, clustering, time series modeling, etc. Join us in Bangalore, KA, IN, and be part of a team that is shaping the future of healthcare through technology and innovation. At Indegene, we offer equal opportunities for all individuals to thrive and grow in their careers.,

As a GenAI Data Scientist at PwC US - Acceleration Center, you will be responsible for developing and implementing machine learning models and algorithms for GenAI projects. Your role will involve collaborating with product, engineering, and domain experts to identify high-impact opportunities, designing and building GenAI and Agentic AI solutions, processing structured and unstructured data for LLM workflows, validating and evaluating models, containerizing and deploying production workloads, communicating findings via various mediums, and staying updated with GenAI advancements. You should possess a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field, along with 1-2 years of hands-on experience delivering GenAI solutions and 3-5 years of deploying machine learning solutions in production environments. Proficiency in Python, experience with vector stores and search technologies, familiarity with LLM-backed agent frameworks, expertise in data preprocessing and feature engineering, competence with cloud services, solid grasp of Git workflows and CI/CD pipelines, and proficiency in data visualization are essential requirements. Additionally, having relevant certifications in GenAI tools, hands-on experience with leading agent orchestration platforms, expertise in chatbot design, practical knowledge of ML/DL frameworks, and proficiency in object-oriented programming with languages like Java, C++, or C# are considered as nice-to-have skills. The ideal candidate should possess strong problem-solving skills, a collaborative mindset, and the ability to thrive in a fast-paced environment. If you are passionate about leveraging data to drive insights and make informed business decisions, this role offers an exciting opportunity to contribute to cutting-edge GenAI projects and drive innovation in the field of data science.,