1136 Probability Jobs - Page 2

About Company Established in Mumbai more than three decades ago, the company is a prominent figure in India's financial services sector. It boasts a nationwide presence, operating in over 500 cities. The NBFC and its subsidiaries offer a wide array of products including gold loans, housing loans, microfinance, loans against property and securities, and insurance services. Job Description Risk Governance and ICAAP. Risk Profile Scale-Based Regulations: Conduct CRAR (Capital to Risk-Weighted Assets Ratio) and RWA (Risk-Weighted Assets) calculations in line with regulatory guidelines. Monitor and ensure Capital Adequacy in compliance with regulatory requirements. Risk Assessment: Evaluate Pillar I and Pillar II risks, including credit, market, and operational risks, ensuring adequate capital buffers. Conduct Credit Risk Stress Tests , Liquidity Risk , and Interest Rate Risk assessments. Risk Parameter Calculations: Calculate Probability of Default (PD) , Loss Given Default (LGD) , and Expected Credit Loss (ECL) rates. Perform Bucket Forecasting , particularly around Stage 1 – Stage II bucket movement , and assess its impact on portfolio health. Portfolio Risk Monitoring: Perform Vintage Curve and Static Pool Analysis to evaluate portfolio risk. Provide Risk-Based Pricing to optimize returns while maintaining risk thresholds. Prepare and deliver Monthly Portfolio Health and Hygiene Reviews to senior leadership, highlighting any breaches and ensuring follow-up actions are implemented. Macroeconomic Overview and Policy Formulation: Conduct Macroeconomic Overview and provide key insights for strategic decision-making. Contribute to the formulation of internal policies, including those on Credit Risk , and Portfolio Management . MIS Dashboard Development: Develop and manage Management Information System (MIS) Dashboards for real-time portfolio monitoring. Create insightful reports that reflect portfolio risk, performance, and compliance metrics. Stress Testing and Early Warning Systems: Conduct stress testing for the portfolio based on industry-specific risks and classifications for Rural Business Group (RBG) . Identify and highlight early warning indicators of stress within the portfolio and recommend actions for mitigation. Credit Appraisal and Policy Training: Prepare and modify Credit Appraisal Memos for various products including KCC, Rural MSME, and Micro LAP. Conduct policy training sessions for Sales and Credit Teams , ensuring alignment on internal guidelines and risk management processes. Process Optimization: Develop Scorecard-Based Funding Models for improved accuracy and efficiency in the credit process. Simplify the Excel-Based Credit Appraisal Memo process and review/renewal workflows for increased operational efficiency. Coordination and Stakeholder Engagement: Foster effective coordination among different divisions to enhance strategy development in technical, management, and financial areas. Ensure smooth communication and collaboration to implement strategic decisions regarding portfolio risk management. Competition Benchmarking: Conduct periodic Competition Benchmarking to identify industry best practices and ensure the company remains competitive in risk management and regulatory compliance.

Greetings ! One our our client TOP MNC Giant looking for Data Scientist Important Notes: Only person who can join immediately or within 7 days ONLY APPLY Base Locations: Gurgaon and Bengaluru (hybrid setup 3 days work from office). Role: Data Scientist Exp: 4 to 8 Years Immediate Joiners Only Skills (must have)  Bachelor’s or master’s degree in computer science, Data Science, Engineering, or a related field.  Strong programming skills in languages such as Python, SQL etc.  Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as Scikit-learn, TensorFlow, PyTorch etc.  Experience in ETL and Datawarehouse tools such as Azure Data Factory,Azur e Data Lake or Databricks etc.  Knowledge of math, probability, and statistics.  Familiarity with a variety of ML algorithms.  Good experience in cloud infrastructure such as Azure (Preferred), AWS/GCP  Exposure to Gen AI, Vector DB, LLM (Large language Model) Skills (good to have) Experience in Flask/Django, Streamlit is a bonus Experience with MLOps: MLFlow, Kubeflow, CI/CD Pipeline etc. Good to have experience in Docker, Kubernetes etc  Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects, AI/ML, NLP/NLU and deep learning solutions.  Develop, implement, and deploy AI/ML solutions.  Preprocess and analyze large datasets to identify patterns, trends, and insights.  Evaluate, validate, and optimize AI/ML models to ensure their accuracy, efficiency, and generalizability.  Deploy applications and AI/ML model into cloud environment such as AWS/Azure/GCP etc.  Monitor and maintain the performance of AI/ML models in production environments, identifying opportunities for improvement and updating models as needed.  Document AI/ML model development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement. INTERESTED CANDIDATES PERFECT MATCH TO THE JD AND WHO CAN JOIN ASAP ONLY DO APPLY ALONG WITH BELOW MENTIONED DETAILS : Total exp : Relevant exp in Data Scientist : Applying for Gurgaon and Bengaluru : Open for Hybrid : Current CTC : Expected CTC : Can join ASAP : Will call you once we receive your updated profile along with above mentioned details. Thanks, Venkat Solti solti.v@anlage.co.in

Date: Jul 31, 2025 Location: Pune, MH, IN Apply now » Apply now Apply for Job Enter your email to apply Position Summary With Job Responsibilities Position Name PFT P&SQ Position level Fix Term DEM position name Sr Manager / DGM DEM position level Level 5 / 4 FEM position name NA FEM position level NA Education B.E./B.Tech with 0-3 years’ experience Skills/ Competencies 1. Drive for results Customer Centricity Dealing with Ambiguity Interpersonal effectiveness Problem solving orientation. Education Work Experience Key Responsibilities P&SQ - Advance Quality Technical Review Sign Off Completion VAVE coordination and dept report generation New/ECN part availability for project milestones Monitoring data of production for critical parts Line quality issue attendance Development status review with supplier Development sample offering to VQA To Support Tooling capitalisation activity Support AQ Engineer for ECN line try-out Development strategy execution (Target Vs Actual) P&SQ Purchase Brief study of parts, design, drawing, specification & floating SOR’s/RFQ’s to suppliers. Prepare all GDC approvals, ESR, approval back up data.. Actively involved in commercial settlement of parts & tooling cost especially taking care of chrome plated parts commercial individually All miscellaneous activates for interior plastics parts handled individually (miscellaneous activities-SOB updation, Part price updation, Usage probability updation, Tax code updation, Reason code change, PO Lock/Unlock, change contract qty ) Use SAP & PLM for regular purchase related activities like design details study / PO database etc. P&SQ Current Quality Attend Line Quality issues Communicate issue to concerned team with Primary analysis Prepare daily issue reports Sample submission and Line trials for any New / ECN Parts Communicate with suppliers regarding quality issues Daily report updation, Rejection tracker, Supplier issues analysis Tata Motors Leadership Competencies Customer Centricity - Anticipating, understanding and focusing efforts on meeting the customer (stakeholders) needs or expectations Developing Self and Others - Recognizing continuous development is essential for success and taking steps to develop self and helping others to excel Driving Execution - Translating strategy into action and execution Leading by Example - Encouraging and following ethical standards Leading Change - Recognizing the need for change, initiating and adapting to change Motivating Self and Others - Inspiring teams and individuals Functional Competencies Tags Apply now » Apply now Apply for Job Enter your email to apply

This role is for one of the Weekday's clients Salary range: Rs 2000000 - Rs 2500000 (ie INR 20-25 LPA) Min Experience: 5 years Location: Mumbai, Maharashtra JobType: full-time This role is responsible for overseeing risk governance and ensuring full compliance with regulatory requirements, particularly within the framework of ICAAP and scale-based regulations. The candidate will play a key role in managing credit, market, and operational risks, while supporting strategic decision-making and process optimization across the organization. Requirements Key Responsibilities: Risk Governance & Regulatory Compliance: Perform CRAR (Capital to Risk-Weighted Assets Ratio) and RWA (Risk-Weighted Assets) calculations in alignment with applicable regulatory frameworks. Monitor capital adequacy to ensure ongoing compliance with regulatory standards and capital buffer requirements. Risk Assessment & Modeling: Evaluate Pillar I and II risks including credit, market, and operational risks. Conduct comprehensive stress tests for credit risk, liquidity risk, and interest rate risk. Calculate key risk parameters such as Probability of Default (PD), Loss Given Default (LGD), and Expected Credit Loss (ECL). Analyze Stage 1 and Stage 2 transitions through bucket forecasting to assess portfolio risk impact. Portfolio Risk Monitoring: Perform vintage curve and static pool analysis for portfolio performance evaluation. Provide risk-based pricing recommendations to balance profitability and risk thresholds. Present monthly portfolio health and hygiene reviews to senior management, highlighting critical observations and follow-up actions. Macroeconomic & Policy Insights: Deliver macroeconomic analyses to guide strategic decision-making. Support internal policy development, particularly in the areas of credit risk and portfolio management. MIS & Dashboard Reporting: Design and maintain real-time MIS dashboards for comprehensive portfolio monitoring. Generate analytical reports to track portfolio performance, risk levels, and compliance metrics. Stress Testing & Early Warning Systems: Conduct stress tests for portfolios, especially for Rural Business Group (RBG), considering sector-specific risks. Develop early warning indicators and recommend mitigation strategies for emerging risks. Credit Appraisal & Policy Enablement: Draft and refine Credit Appraisal Memos for products such as KCC, Rural MSME, and Micro LAP. Lead policy training and alignment sessions for sales and credit teams to ensure adherence to internal risk guidelines. Process Optimization: Design scorecard-based funding models to enhance credit process accuracy. Simplify Excel-based appraisal and renewal workflows to improve efficiency and turnaround time. Cross-Functional Coordination: Collaborate across business functions to ensure strategic alignment in technical, operational, and financial areas. Drive implementation of risk mitigation and portfolio strategy initiatives. Competition & Industry Benchmarking: Periodically benchmark competitors to incorporate best practices in risk and compliance management. Ensure the organization remains up-to-date with industry standards and regulatory expectations. Required Skills: Risk Governance & Assessment ICAAP & CRAR Compliance Credit Appraisal & Portfolio Monitoring Risk Parameter Modeling (PD, LGD, ECL) MIS & Dashboard Reporting Stress Testing & Early Warning Indicators Scorecard & Process Optimization Regulatory and Operational Risk Management Stakeholder Engagement & Cross-Functional Collaboration NBFC Sector Experience Preferred

Role: On-site, Noida Location Shift: US Shift (PST Zone) Timing: During Probation: 4:30 pm IST - 1:30 am IST After Probation: 6:30 pm IST - 3:30 am IST (Note: Probation will be 03-06 months) Job Overview We are seeking a motivated and results-driven Sales Development Representative (SDR) to join our dynamic sales team. The SDR will be responsible for generating leads and qualifying prospects through various outreach methods, including cold calling , cold emailing , and LinkedIn messaging . The ideal candidate is an excellent communicator, both verbally and in writing, and is fluent in English. Key Responsibilities: Generate SQL ( sales-qualified lead ), a lead that has a high probability of converting into a customer. Conduct high-volume outbound cold calls and emails to potential prospects specifically for cybersecurity products. Develop and execute targeted cold email campaigns and utilize LinkedIn to identify, connect, and engage with potential leads. Qualify leads based on the BANT ( Budget- Authority- Need- Time) Framework and set up meetings or calls for the sales team. Maintain accurate records of all interactions in the CRM system and track sales progress and metrics. Achieve or exceed monthly and quarterly targets for lead generation and appointments set. Conduct thorough market research to identify high-growth industries and customer segments in the cybersecurity and networking markets. Execute a comprehensive business development strategy, generating and nurturing leads into a strong sales pipeline. Deliver persuasive sales presentations, cultivate relationships with key stakeholders, and drive partnership programs. Showcasing the demo of the PSM product , understanding the scope and proposal drafting, and representing the company at industry events Qualifications: Bachelor’s or Master’s degree. 1+ years of experience in B2B SaaS product sales , ideally with cybersecurity or enterprise software, is a MUST have. Fluency in English (verbal and written communication) is a must. Strong research skills to identify and t arget relevant companies and contacts Why You'll Enjoy Working at Threatcop: Working with us allows you to gain hands-on experience and training on various industry-leading tools for database management and prospecting. Tools such as ZOHO CRM, Lusha, Apollo.io, Notion, LinkedIn Sales Navigator, and more will be at your disposal, empowering you to enhance your skills and streamline your work. Get the fast learning and exciting environment of a startup, combined with the stable work and strong performance of a bigger company. There's lots of room to learn, grow, and share your ideas. We also provide good benefits like health insurance, a gratuity payment, and Employees' Provident Fund (a savings plan for your future). We are an equal opportunity employer, where everyone has a fair chance. About Us: Threatcop Inc. is a leading People Security Management(PSM) company and a sister concern of Kratikal. Threatcop helps organizations reduce the impacts of cyber threats by strengthening the cybersecurity posture of employees. With a focus on reducing social engineering and email-based attacks, we transform employees from the weakest link to the strongest line of defense. Serving over 250+ large enterprises and 600+ SMEs across 30+ countries , Threatcop assists clients in sectors such as E-commerce, Finance, BFSI, Healthcare, Manufacturing, and Telecom with clients like Axis Bank, Gail India, ONGC, MaxLife Insurance, Daman Insurance, UNICOIL, NPCI, Tata Consumer Products and many others. We are a USA-based company , headquartered in Noida with offices in Mumbai, Pune, Bangalore, Chennai, Dubai, and Riyadh. We use the A-A-P-E (Assess, Aware, Protect, Empower) framework to deliver effective products such as TSAT, TLMS, TDMARC and TPIR to tackle evolving cyberthreats. By focusing on preventing human error, our People Security Management (PSM) approach empowers organizations to foster a culture of cybersecurity awareness to tackle modern cyber threats. For more details, visit us at: www.threatcop.com.

About the Company 6thStreet.com is an omnichannel fashion & lifestyle destination that offers 1400+ fashion & beauty brands in the UAE, KSA, Kuwait, Oman, Bahrain & Qatar. Customers can shop the latest on-trend outfits, shoes, bags, beauty essentials and accessories from international brands such as Tommy Hilfiger, Calvin Klein, Hugo, Marks & Spencers, Dune London, Charles & Keith, Aldo, Crocs, Birkenstock, Skechers, Levi’s, Nike, Adidas, Loreal and Inglot amongst many more. 6thStreet.com recently opened GCC’s first phygital store at Dubai Hills Mall; an innovative tech-led space which combines the best of both online & offline shopping with online browsing & smart fitting rooms. Overview The ML Engineer will extract insights and build models that will drive key business decisions. The candidate will work closely with other data scientists, software engineers and product managers to design, build, optimize and deploy machine learning systems and solutions. This role is ideal for someone with a strong analytical mindset, a passion for data, and a desire to grow in a fast-paced e-commerce environment. Necessary Skills Python: Proficiency in python, with knowledge of popular libraries like pandas, numpy, scipy, scikit-learn, tensorflow, pytorch SQL: Strong ability to write and optimize complex SQL queries to extract and manipulate large datasets from relational databases Data Analysis & Visualization: Ability to work with large datasets and extract meaningful insights and able to leverage data visualization tools and libraries Data Wrangling & Preprocessing: Expertise in cleaning and transforming raw data into structured formats Statistical Analysis: A solid understanding of descriptive and inferential statistics, including hypothesis testing and probability theory Machine Learning & Deep Learning: Familiarity with supervised and unsupervised learning algorithms such as regression, tree based methods, clustering, boosting and bagging methodologies Machine learning workflows: feature engineering, model training, model optimization , validation and evaluation ML Deployment: Deploying machine learning models to production environments, ensuring they meet the scalability, reliability, and performance requirements DevOps: Git, CI/CD pipelines, dockerization, model versioning (mlflow), monitoring platforms Cloud Platforms: Experience with cloud platforms like AWS, Google Cloud or Azure for deploying models Problem-Solving & Analytical Thinking: Ability to approach complex problems methodically and implement robust solutions Collaboration & Communication: Strong ability to work with cross-functional teams and communicate technical concepts to non-technical stakeholders. Adaptability & Learning: Willingness to quickly learn new tools, technologies, and algorithms Attention to Detail: Ability to carefully test and validate models, ensuring they work as intended in production Good to have: Familiarity with big data technologies such as Spark or Hadoop Object-oriented programming (OOP) Knowledge of data privacy and security practices when working with sensitive data Experience working with big data tools (e.g., Apache Kafka, Apache Flink) for streaming data processing Familiarity with feature stores like Feast Experience working with e-commerce data Responsibilities Design and implement machine learning models, algorithms, and systems Build and maintain end-to-end machine learning pipelines- model training, validation, and deployment Experiment with different algorithms and approaches to optimize model performance Collaborate with software engineers, product managers, analysts to build scalable, production-ready solutions Communicate complex technical concepts to non-technical stakeholders Stay updated with the latest advancements in machine learning and deep learning. Evaluate and experiment with new tools, libraries, and algorithms that could improve model performance Collaborate on proof-of-concept (POC) projects to validate new approaches and techniques Benefits Full-time role Competitive salary Company employee discounts across all brands Medical & health insurance Collaborative work environment Good vibes work culture Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 2 years' of experience in quantitative analytics or data modeling and development Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL)

Are you ready to dive into the world of cutting-edge technology and innovation? Stellar8 Labs is seeking a dynamic 'Project Manager Intern' to join our team! As an intern, you will have the opportunity to work alongside experienced professionals and gain hands-on experience in project management within a fast-paced environment. Selected Intern's Day-to-day Responsibilities Include Utilizing analytical thinking to assess project requirements and develop strategic plans. Assisting in project planning, scheduling, and monitoring to ensure timely completion of deliverables. Communicating effectively with team members to coordinate efforts and achieve project goals. Managing stakeholder relationships by providing updates, addressing concerns, and seeking feedback. Utilizing interpersonal skills to build strong relationships with team members and stakeholders. Assisting in identifying and resolving project issues to ensure successful project completion. Supporting the project manager in maintaining project documentation and tracking progress. If you are a motivated individual with a passion for project management and a desire to learn and grow, then we want to hear from you! Join us at Stellar8 Labs and take the first step toward a rewarding career in the tech industry. Apply now and be a part of our exciting journey! About Company: Over the past few years, every major breakthrough in tech or any field has been a mix of creative thinking and technology. We truly believe in this idea and want to push it forward. Stellar8 Labs was born with a core value - to be at the intersection of creativity and technology. We make decisions every day. Some work well, while some don’t work out in our favor. It’s similar to rolling a dice; the outcome of every decision has a probability. One way to increase the chances of success depends on the people around you. Who will support and help you figure it out? Stellar8 Labs is the bridge to success for bespoke technology solutions.

Company Description NielsenIQ is a consumer intelligence company that delivers the Full View™, the world’s most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. We are putting the brightest and most dedicated minds together to accelerate progress. Our diversity brings out the best in each other so we can leave a lasting legacy on the work that we do and the people that we do it with. NielsenIQ offers a range of products and services that leverage Machine Learning and Artificial Intelligence to provide insights into consumer behavior and market trends. This position opens the opportunity to apply the latest state of the art in AI/ML and data science to global and key strategic projects. Job Description NielsenIQ’s Innovation Team is growing our AI capabilities and is now looking to hire an AI/ML Data Scientist in India (Pune). for the Core Models team, a multidisciplinary team of researchers working on different areas of AI such as recommender systems, extreme classifiers, Large Language Models (LLMs), among others. As part of this team, you will stay up to date with the latest research in AI (with special focus on NLP, but also on Computer Vision and other AI related fields), implement current state-of-the-art algorithms in real-world and large-scale challenging problems as well as proposing novel ideas. Your main focus will be creating high-quality datasets for training and fine-tuning Custom Models for the company, LLMs and Recommender Systems, and training them to analyze the impact of the different versions of the data on model’s performance. The selected candidate will be responsible for designing and implementing scalable data pipelines and strategies to support all stages of the R&D process, e.g., fine-tuning or alignment through reinforcement learning. The results of the word will be critical to ensure the robustness, safety, and alignment of our AI models. You will also have the opportunity to produce scientific content such as patents or conference/journal papers. Job Responsibilities: Investigate, develop, and apply data pipelines with minimal technical supervision, always ensuring a combination of simplicity, scalability, reproducibility and maintainability within the ML solutions and source code. Train Deep Learning models (Transformer models) and analyze the impact of different versions of the data. Perform feasibility studies and analyze data to determine the most appropriate solution. Drive innovation and proactively contribute to our work on custom Large Language Models. Be able to communicate results to tech and non-tech audiences. To work as a member of a team, encouraging team building, motivation and cultivating effective team relations. Qualifications Required Education, Skills and Experience: Master's degree in computer science or an equivalent numerate discipline. At least 5+ years’ experience with evidence in a related field. Strong background in computer science, linear algebra, probability. Solid experience in Machine Learning and Deep Learning (special focus on Transformers). Proven experience in Natural Language Processing and Large Language Models. Proven experience building scalable data pipelines and ETLs. Able to understand scientific papers and develop ideas into executable code. Proven track record of innovation in creating novel algorithms and publishing the results in AI conferences/journals. Languages and technologies: Python, SQL, PySpark, Databricks, Pandas/Polars, PyArrow, PyTorch, Huggingface, git. Proactive attitude, constructive, intellectual curiosity, and persistence to find answers to questions. A proficient level of interpersonal and communication skills (English level B2 minimum). Keen to work as part of a diverse team of international colleagues and in a global inclusive culture. Additional Information: Preferred Education, Skills and Experience: PhD in science (NLP/Data Science is preferred) and specialized courses in one of the above-mentioned fields. Experience working with large real-world datasets and scalable ML solutions. Previous experience in e-commerce, retail and/or FMCG/Consumer Insight business. Agile methodologies development (SCRUM or Scale Agile). Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

Job Description: Responsible for acquiring and developing new business from IT Infrastructure. Business plan for increasing the probability of the division, through direct sales. Experience in selling Enterprise Solution which includes (IT Product and Solution sales, Laptop, Desktop, Printers, Workstations, Data-centre solution, Storage, Server Sales, and Networking Solutions). Ability to interact at CXO levels in an organization. Building and maintaining a network of public and private customer contacts. Close deals for the leads, responsible for payment collection. Researching customer's profile for accurate positioning giving effective and Skilful Presentations. Requirement: Candidate must possess 2-6 yrs. of experience in selling IT Hardware / Software / Infra Products. Having exposure in Enterprise sales. Excellent verbal communication skills. Should be result oriented and target driven.

Job Description Position : Manager/Senior Manager Job Location : Gurgaon Education : M.Pharm Department : Global Regulatory Affairs Job Responsibilities Serve as a Regulatory CMC Product Lead and provide CMC Regulatory leadership within Regulatory and on cross-functional teams for the assigned branded being developed for US and other advanced markets like EU & Canada Ensure lifecycle management through timely submission of annual reports, supplements etc to ensure product continuity The CMC Product Lead is accountable for the delivery of all regulatory milestones for higher complexity products in which responsible including assessment of the probability of regulatory success together with risk mitigation measures. Lead the development, communication, and review of the CMC Regulatory Strategy Document for projects of increasing complexity. Provide regulatory leadership as needed in product in-license/due diligence review, product divestment and product withdrawal. Manage execution of CMC documentation including PIND/IND/CTA, original NDA/MAA, agency background packages and responses to health authority questions per established business processes and systems. Support new technology development within our Company. Demonstrate an understanding of regulatory affairs and applies this understanding to the benefit of the company to ensure the approval and continued market supply of our Branded products worldwide. Conduct all activities with an unwavering focus on compliance. May need to manage or mentor junior team members. Technical Skills: Hands of expertise of preparation & review of dossiers, response to queries, communication with agencies for developed markets like US/EU Proven experience in critically reviewing detailed scientific information and assessing whether technical arguments are presented clearly and conclusions are adequately supported by data. Demonstrated superior oral and written communication skills in multicultural settings and ability to communicate complex issues in a succinct and logical manner. Strong listening skills. Demonstrated sound understanding of related fields (e.g., manufacturing, analytical, quality assurance) and the ability to be creative and imaginative in the approach to new and diverse problem solving. Demonstrated ability to generate innovative solutions to complex regulatory problems and effectively work with and communicate to key stakeholders. Demonstrated flexibility in responding to changing priorities or dealing with unexpected events. Demonstrated effective leadership, communication, interpersonal and negotiating skills. Education Minimum Requirement: M-Pharm in pharmaceutical sciences Required Experience and Skills: 10-15 years of hands on experience in regulatory affairs This role needs a seasoned professional who is aware of the regulatory activities for NDAs, can work in R & D CFT and who has the management capability of leading a group of team members The candidate must be proficient in English; additional language skills are a plus. Good inter-personnel skills with ability to direct multi-departmental functions.

Job Description Project Execution Manager Location: Bengaluru, Karnataka, India (Client Location) Job Summary: We're looking for a highly motivated and analytical MBA graduate to join our dynamic team as a Project Execution Manager. This pivotal role will be based at our client's location in Bengaluru, where you'll be responsible for driving the successful execution of projects, with a strong focus on optimizing efficiency, managing risks, and ensuring timely delivery. The ideal candidate will leverage advanced project management methodologies and tools, including Earned Value Management, Gantt charts, Work Breakdown Structure (WBS) optimization, and robust risk management frameworks, to achieve superior project outcomes. Key Responsibilities: Project Planning & Scheduling: Develop, maintain, and meticulously manage comprehensive project schedules using Gantt charts, ensuring all project phases, tasks, and dependencies are clearly defined and tracked. Collaborate with cross-functional teams to refine and update the Work Breakdown Structure (WBS), ensuring 100% scope coverage, clear task definitions, and appropriate levels of decomposition for effective planning and execution. Performance Monitoring & Optimization (Earned Value Management): Implement and rigorously apply Earned Value Management (EVM) principles to monitor project performance, track progress against baselines, and calculate key performance indicators (CPI, SPI). Analyze EVM data to identify deviations from the plan, forecast project completion (EAC, ETC), and proactively recommend corrective actions to optimize project efficiency and cost-effectiveness. Develop and present regular performance reports to stakeholders based on EVM insights. Risk Management: Proactively identify, assess, and manage project risks throughout the project lifecycle, utilizing and refining the established Risk Flow process (identification, analysis, response planning, monitoring). Develop and maintain a robust Risk Matrix to qualitatively and quantitatively assess risk probability and impact, ensuring effective prioritization of mitigation strategies. Lead risk response planning sessions, developing proactive strategies (avoidance, mitigation, transfer, acceptance) and contingency plans. Continuously monitor identified risks, track trigger events, and report on the effectiveness of riskresponses. Stakeholder Communication & Reporting: Communicate project status, performance metrics (including EVM insights), and risk updates clearly and concisely to all relevant stakeholders, including senior management, team members, and clients. Prepare and present detailed project reports, dashboards, and presentations. Process Improvement: Identify opportunities for continuous improvement in project execution methodologies and processes, leveraging insights from project performance data and risk analyses. Contribute to the development and standardization of project management best practices within the organization. Team Collaboration: Work closely with project managers, team leads, and individual contributors to ensure alignment on project goals, tasks, and timelines. Facilitate effective communication and problem-solving among project team members. Qualifications: Master of Business Administration (MBA) from a reputable institution. Minimum of 1-2 years of experience in project management, project coordination, or a related role, with a demonstrated understanding of the project lifecycle and the application of project management tools. Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) is essential. Demonstrated strong theoretical and practical understanding of Project Management methodologies and tools, specifically: Earned Value Management (EVM) principles and application. Proficiency in creating and managing detailed project schedules using Gantt charts (e.g., MS Project or similar tools). Expertise in developing, updating, and optimizing Work Breakdown Structures (WBS). Experience with Risk Matrix development and application. Familiarity with the comprehensive Risk Flow process (identification, analysis, response, monitoring). Excellent written and verbal communication, presentation, and interpersonal skills are crucial for effective stakeholder engagement at a client location. Strong analytical and problem-solving skills with an ability to interpret complex data. Ability to work effectively in a fast-paced, dynamic client-facing environment and manage multiple priorities. Optional: PMP, PRINCE2, CSM, or other relevant project management certifications are a plus. What We Offer: Opportunity to make a significant impact on critical projects at a key client site. A collaborative and supportive work environment. Continuous learning and professional development opportunities. Competitive salary and benefits package. Job Types: Full-time, Permanent Pay: ₹100,000.00 - ₹840,000.00 per year Application Question(s): What is your expected CTC in Lacs per annum? What is your notice period? . How many years of experience do you have in Project Life Cycle? How many years of experience do you have in Microsoft Office Suite? How many years of experience do you have in Risk Management? How many years of experience do you have in Work Breakdown Structure? How many years of experience do you have in Project Execution? Do you hold an MBA degree? Work Location: In person Application Deadline: 10/08/2025

About The Role Manage the deliverables of Group Credit Risk Reporting with quantitative analysis and business factors across various reporting dimensions Report on credit risk metrics such as Expected Credit Exposure (ECE), Credit Stress Calculations, and Probability of Default (PD) across Investment Products, Credit Underwriting Insurance Products, and Counterparty Credit Risks. Analyze and communicate changes in Group Credit Shortfall by interpreting scenarios and outputs from the ICAM (Group Risk) model, highlighting the impacts of business proposition shifts, foreign Contribute towards improvement of risk reports and reporting processes through fast developed IT solutions. Support dedicated initiatives and projects to improve risk infrastructure and risk reporting landscape Collaborate closely with the Financial Risk Reporting team in Bangalore and Zurich to ensure delivery of high-quality analytical work Communicate with Credit Underwriting, Asset Management, Treasury, and other businesses, primarily in the weekly Financial Market and Credit risk councils. Clearly articulate actionable feedback on events, exposures and issues that impact Swiss Re's risk profile About The Team The Financial Risk Aggregation & Analytics(FRA&R) team within Financial Risk Management (FRM) Governance & Reporting oversees collecting and aggregating Swiss Re's firm-wide financial market and credit risks. The team produces various reports to the internal and external stakeholders with strong focus on analysis, timeliness, and quality. FRA&R works closely with Market Risk Managers, Credit Risk Managers, Credit Underwriters, Asset Managers and Treasury and aligns the reporting needs in a fast-changing environment. FRA&R focuses on strong IT capabilities for efficient implementation of reporting processes. About You Strong academic background in Engineering, Finance, Mathematics, or relevant professional certifications such as FRM, CQF, or a Master's in Quantitative Finance. Solid understanding of financial products and credit risk methodologies, including risk assessment metrics such as sensitivities (e.g., DV01, Credit Default), Stress Testing, and Shortfall calculations. Minimum of 3 year of experience in financial products, with sound knowledge of fixed income, equities, and derivatives. Have hands-on experience in valuation/modelling of financial derivatives. Solid programming skills with exposure to at least one scripting language (e.g. Python, R), data modeling, SQL A flair to understand the trends and developments in the global financial markets Good communication skills, positive attitude, and an ability to articulate technical topics in simple terms Good organizational skills, ability to handle multiple priorities and meet deadlines About Swiss Re Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience. Keywords Reference Code: 134847

Are you passionate about solving logical problems and working through challenging physics? Turing is looking for PhD-level researchers in physics to test the reasoning capabilities of large language models (LLMs). You’ll create physics problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create physics problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. For a 1D Brownian motion starting at the origin, define the last return time to zero and the time spent on the positive axis as fractions of total time. Find the exact joint probability distribution of these scaled times, expressed using the Heaviside function to specify its support. Eligibility Currently enrolled in or have completed a Ph.D. or Postdoctoral in Physics, Applied Physics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details Commitments Required : at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract : 1 month; [expected start date is next week] Selection Process : Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models.

Are you passionate about solving logical problems and working through challenging physics? Turing is looking for PhD-level researchers in physics to test the reasoning capabilities of large language models (LLMs). You’ll create physics problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create physics problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. For a 1D Brownian motion starting at the origin, define the last return time to zero and the time spent on the positive axis as fractions of total time. Find the exact joint probability distribution of these scaled times, expressed using the Heaviside function to specify its support. Eligibility Currently enrolled in or have completed a Ph.D. or Postdoctoral in Physics, Applied Physics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details Commitments Required : at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract : 1 month; [expected start date is next week] Selection Process : Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models.

Are you passionate about solving logical problems and working through challenging physics? Turing is looking for PhD-level researchers in physics to test the reasoning capabilities of large language models (LLMs). You’ll create physics problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create physics problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. For a 1D Brownian motion starting at the origin, define the last return time to zero and the time spent on the positive axis as fractions of total time. Find the exact joint probability distribution of these scaled times, expressed using the Heaviside function to specify its support. Eligibility Currently enrolled in or have completed a Ph.D. or Postdoctoral in Physics, Applied Physics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details Commitments Required : at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract : 1 month; [expected start date is next week] Selection Process : Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models.

Are you passionate about solving logical problems and working through challenging physics? Turing is looking for PhD-level researchers in physics to test the reasoning capabilities of large language models (LLMs). You’ll create physics problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create physics problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. For a 1D Brownian motion starting at the origin, define the last return time to zero and the time spent on the positive axis as fractions of total time. Find the exact joint probability distribution of these scaled times, expressed using the Heaviside function to specify its support. Eligibility Currently enrolled in or have completed a Ph.D. or Postdoctoral in Physics, Applied Physics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details Commitments Required : at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract : 1 month; [expected start date is next week] Selection Process : Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models.

Are you passionate about solving logical problems and working through challenging physics? Turing is looking for PhD-level researchers in physics to test the reasoning capabilities of large language models (LLMs). You’ll create physics problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create physics problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. For a 1D Brownian motion starting at the origin, define the last return time to zero and the time spent on the positive axis as fractions of total time. Find the exact joint probability distribution of these scaled times, expressed using the Heaviside function to specify its support. Eligibility Currently enrolled in or have completed a Ph.D. or Postdoctoral in Physics, Applied Physics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details Commitments Required : at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract : 1 month; [expected start date is next week] Selection Process : Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models.

Are you passionate about solving logical problems and working through challenging physics? Turing is looking for PhD-level researchers in physics to test the reasoning capabilities of large language models (LLMs). You’ll create physics problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create physics problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. For a 1D Brownian motion starting at the origin, define the last return time to zero and the time spent on the positive axis as fractions of total time. Find the exact joint probability distribution of these scaled times, expressed using the Heaviside function to specify its support. Eligibility Currently enrolled in or have completed a Ph.D. or Postdoctoral in Physics, Applied Physics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details Commitments Required : at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract : 1 month; [expected start date is next week] Selection Process : Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models.

Are you passionate about solving logical problems and working through challenging physics? Turing is looking for PhD-level researchers in physics to test the reasoning capabilities of large language models (LLMs). You’ll create physics problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create physics problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. For a 1D Brownian motion starting at the origin, define the last return time to zero and the time spent on the positive axis as fractions of total time. Find the exact joint probability distribution of these scaled times, expressed using the Heaviside function to specify its support. Eligibility Currently enrolled in or have completed a Ph.D. or Postdoctoral in Physics, Applied Physics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details Commitments Required : at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract : 1 month; [expected start date is next week] Selection Process : Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models.

Are you passionate about solving logical problems and working through challenging physics? Turing is looking for PhD-level researchers in physics to test the reasoning capabilities of large language models (LLMs). You’ll create physics problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create physics problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. For a 1D Brownian motion starting at the origin, define the last return time to zero and the time spent on the positive axis as fractions of total time. Find the exact joint probability distribution of these scaled times, expressed using the Heaviside function to specify its support. Eligibility Currently enrolled in or have completed a Ph.D. or Postdoctoral in Physics, Applied Physics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details Commitments Required : at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract : 1 month; [expected start date is next week] Selection Process : Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models.

Are you passionate about solving logical problems and working through challenging physics? Turing is looking for PhD-level researchers in physics to test the reasoning capabilities of large language models (LLMs). You’ll create physics problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create physics problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. For a 1D Brownian motion starting at the origin, define the last return time to zero and the time spent on the positive axis as fractions of total time. Find the exact joint probability distribution of these scaled times, expressed using the Heaviside function to specify its support. Eligibility Currently enrolled in or have completed a Ph.D. or Postdoctoral in Physics, Applied Physics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details Commitments Required : at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract : 1 month; [expected start date is next week] Selection Process : Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models.

Are you passionate about solving logical problems and working through challenging physics? Turing is looking for PhD-level researchers in physics to test the reasoning capabilities of large language models (LLMs). You’ll create physics problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create physics problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. For a 1D Brownian motion starting at the origin, define the last return time to zero and the time spent on the positive axis as fractions of total time. Find the exact joint probability distribution of these scaled times, expressed using the Heaviside function to specify its support. Eligibility Currently enrolled in or have completed a Ph.D. or Postdoctoral in Physics, Applied Physics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details Commitments Required : at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract : 1 month; [expected start date is next week] Selection Process : Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models.

2 Years of experience mandatory Machine Learning (ML): Supervised & unsupervised learning Regression, classification, clustering Model evaluation and tuning Deep Learning: Neural networks (CNNs, RNNs, LSTMs, Transformers) Frameworks: TensorFlow, PyTorch, Keras Data Science & Analytics: Data cleaning and pre-processing Feature engineering EDA (Exploratory Data Analysis) Programming: Proficient in Python (NumPy, pandas, scikit-learn, matplotlib, etc.) Optional: R, Julia, or C++ NLP & LLMs: Text preprocessing, embeddings (word2vec, BERT, etc.) Fine-tuning and using LLMs (e.g., GPT, BERT, T5) Computer Vision: Image classification, object detection OpenCV, YOLO, or similar libraries Math & Stats: Linear algebra, probability, calculus Statistical modeling Infrastructure & DevOps Cloud platforms: AWS, GCP, Azure MLOps: ML pipelines, model versioning (e.g., MLflow, DVC) Docker, Kubernetes for deployment Git and version control Understanding business problems and translating them into AI solutions Job Type: Full-time Pay: ₹50,499.45 - ₹75,027.94 per month Schedule: Day shift Experience: AL/ML: 2 years (Required) Work Location: In person

Ignite your passion for product innovation by leading customer-centric development, inspiring solutions, and shaping the future with your strategic vision and influence. As a Regional Agent Specialist reporting under the Global Agent Specialist within the firmwide CDAO Organization, you will collaborate with regional product managers and client teams to support Agentic development. Your role involves providing expert guidance and empowering clients to implement Agents and create business value. With strong communication and stakeholder management skills, you will cultivate collaborative relationships with Product, Engineering, and Architecture teams across JPM Lines of Business, Corporate Functions, and Internal Fusion Product and Engineering Teams to drive priority outcomes. Job Responsibilities Align your priorities with those of the Global Agent Specialist, establishing effective communication and workflows to regularly update them on progress. Provide technical expertise to empower regional clients to design and implement agent-based solutions. Engage with Global Agent Specialist to understand the client's needs, provide expert guidance to the clients located in the region and ensure successful deployment and integration of agent solutions. Collaborate with regional product and engineering teams to enhance agent capabilities and ensure seamless integration with existing systems and processes. Support Global Agent Specialist to develop best practices for Agentic Systems architecture and integration, including performance monitoring, optimization, and evaluation. Collaborate with AI researchers, ML engineers, and software developers to push the boundaries of Agentic AI. Develop prototypes, blueprints, and demos for rolling out education and training across the region. Provide thought leadership and contribute to technical white papers on Agentic implementations. Required Qualifications, capabilities and skills Experience in multi-agent architectures using frameworks like LangChain, AutoGPT, CrewAI. Hands-on experience building or using LLM-powered Agentic solutions. Experience in developing, training, and deploying machine learning models, Gen AI models, including knowledge of model evaluation and optimization techniques. Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization. Experience in Financial Services or other highly regulated industries. Strong foundation in mathematics and statistics, including knowledge of linear algebra, calculus, probability, and statistical methods. Preferred Qualifications, capabilities and skills Experience in financial or banking domain

Are you passionate about solving logical problems and working through challenging physics? Turing is looking for PhD-level researchers in physics to test the reasoning capabilities of large language models (LLMs). You’ll create physics problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create physics problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. For a 1D Brownian motion starting at the origin, define the last return time to zero and the time spent on the positive axis as fractions of total time. Find the exact joint probability distribution of these scaled times, expressed using the Heaviside function to specify its support. Eligibility Currently enrolled in or have completed a Ph.D. or Postdoctoral in Physics, Applied Physics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details Commitments Required : at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract : 1 month; [expected start date is next week] Selection Process : Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models.