217 Model Development Jobs - Page 8

Hiring for Multiple Roles 1. SAS, SQL, Marketing Analytics 2. SAS, SQL, Credit Risk Model 3. SAS, SQL Strategy Development 4. SAS, SQLCollection Strategy 5. SAS, SQL, MRM 6. SAS, SQL, Credit Risk Model

We are seeking a highly skilled, hands-on Machine Learning Engineer/Data Scientist with a robust background in developing, coding, and deploying advanced ML models. The ideal candidate will have demonstrable expertise in computer vision, object detection, object tracking, and NLP, with a proven track record of writing production-grade code and developing state-of-the-art models to solve complex business challenges. Key Responsibilities: End-to-End ML Pipeline Development: Design, code, test, and deploy robust machine learning pipelinesfrom data collection and preprocessing to model training and production deployment. Computer Vision & Object Detection: Develop and fine-tune algorithms for computer vision applications using tools like Ultralytics YOLO and OpenCV, with hands-on experience in object detection and object tracking. NLP Model Development: Build and optimize NLP models for tasks such as text analysis, sentiment analysis, and language processing using frameworks like Hugging Face Transformers or spaCy. Cloud-Based Model Deployment: Utilize Google Cloud services, particularly Vertex AI, for scalable model development, training, testing, and deployment. Code Quality & Optimization: Write clean, modular, and efficient code; perform debugging, code reviews, and performance tuning to ensure scalable and maintainable codebases. Collaboration & Integration: Work closely with data engineering and software development teams to integrate ML models into production environments and ensure seamless deployment. Continuous Improvement: Stay up-to-date with the latest advancements in machine learning and AI, integrating new technologies and methods as appropriate. Documentation & Best Practices: Maintain thorough documentation of code, methodologies, and experiments, adhering to industry best practices and MLOps principles. Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. 5+ years of professional experience in data science and machine learning with a strong emphasis on hands-on coding and model development. Advanced proficiency in Python, and extensive experience with ML libraries and frameworks such as TensorFlow, PyTorch, OpenCV, and Ultralytics YOLO. Demonstrable expertise in developing and deploying computer vision models (object detection and tracking) and NLP solutions. Hands-on experience with cloud platforms, especially Google Cloud (Vertex AI), for scalable ML model training and deployment. Strong analytical, debugging, and performance optimization skills, with a commitment to high-quality code and software engineering best practices. Familiarity with data annotation platforms (e.g., Roboflow) and experience in integrating these into model development workflows. Excellent communication and collaboration skills to work effectively in cross-functional teams. Preferred Skills: Experience with MLOps practices and CI/CD pipelines for machine learning. Familiarity with big data technologies and distributed computing frameworks. Contributions to open-source projects or publications in relevant fields. Expertise in model interpretability, monitoring, and performance tuning in production environments. (Hands-On Coding & Model Development)

Job Overview: We are seeking a talented and driven Machine Learning Engineer to design and optimize machine learning models that will enhance a variety of credit and operational processes. This role will involve building cutting-edge solutions in areas like underwriting, loan processing, fraud detection, and risk mitigation, while continuously driving improvements through innovation and advanced techniques. Key Responsibilities: - Model Development & OptimizationDesign, deploy, and refine machine learning models to support key functions such as underwriting, account management, fraud detection, and loss prevention. - Advanced Techniques ImplementationIdentify opportunities to implement advanced machine learning approaches-such as Natural Language Processing (NLP), Image Recognition, and Graph Mining-to address complex business challenges. - Collaboration & Knowledge SharingWork with internal and external resources, as well as open-source algorithms, to find the best solutions and improve model performance. - Risk Management CompliancePartner with the Model Risk Management team to ensure models are developed with appropriate rigor and align with risk management and governance standards. - Cross-Functional CollaborationCollaborate closely with Product and Engineering teams to ensure seamless model deployment and integration. - Performance MonitoringTrack the effectiveness of models through dashboards and key performance indicators (KPIs), ensuring continuous improvement. - Stakeholder CommunicationPresent model insights and performance reports to key stakeholders in Credit, Risk, and Business Units, making complex findings accessible and actionable. Qualifications: - Educational BackgroundBachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. A Master's degree is highly preferred. - Experience6-12 years of hands-on experience developing and implementing machine learning models in a professional environment. - Technical ProficiencyStrong expertise in SQL and Python, with the ability to write efficient code for working with large datasets and creating advanced features. - Analytical ThinkingExceptional attention to detail and an ability to uncover hidden data patterns through thorough investigation. - Machine Learning ExpertiseSolid foundation in machine learning and statistical modeling, including supervised and unsupervised learning techniques like regression, decision trees, support vector machines, boosting, deep learning, and more. Must stay current with industry advancements to apply the best techniques. - Database KnowledgeProficient in working with SQL, NoSQL, Hive, and other relevant database technologies. - Effective CommunicationStrong ability to translate complex technical concepts into clear, understandable terms for non-technical stakeholders. Apply Save Save Pro Insights

About The Role Reporting to the Team Lead, MCoE Lead BLR, this is an exciting opportunity for a skilled actuarial student to join the Life & Health Business Management division, which is responsible for the inforce management of Swiss Re's global L&H Reinsurance business, Support the development and maintenance of Life & Health AXIS models used for financial reporting and portfolio management in US and Canada Provide support to AXIS MCoE team leads to help resolve model issues through debugging, unit testing and knowledge sharing as required Ability to handle stakeholder requests and deliver solutions independently Produce high quality models and associated documentation for the user community Ensure model development and testing activities are in accordance with agreed model governance framework and testing procedures Enhance and extend various existing model building tools and model validation tools as needed Support the development of IT systems to enable the rapid transition to the target landscape, and help drive operational excellence Drive continuous process improvements to maximize productivity and work product quality About The Team We reside within the L&H Business Management division, which manages our reinsurance business With a team size of approximately 20 colleagues spanning multiple geographic locations, you will have the opportunity to influence a wide variety of team goals and add to team spirit, About You A highly motivated and internally driven individual with good progress toward fellowship with at-least 0 2 years of experience Proficiency in AXIS and SQL is desirable Excellent understanding of fundamental actuarial concepts Ability to work independently, accurately and deliver to deadlines Excellent communication and social skills to build and maintain positive relationships, internally within the team and externally with key partners Reliability integrity, judgement, energy/will, ownership, analytical power Excellent organisational and analytical skills with attention to detail; able to quickly absorb details on business structure, product features and model requirements Shows initiative in identifying issues and supporting other team members, peers and senior stakeholders Growth mentality with a dedication to maintain a team spirit based on openness and respect Desire to learn from highly skilled industry professionals across multiple fields to grow your professional development About Swiss Re Swiss Re is one of the worlds 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: 133585

Join us as a Senior Model Developer in Treasury and Liquidity Risk at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence Youll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences, You will be responsible for developing best in class treasury and liquidity models using industry leading model development frameworks & methodologies, work in a global quant team, with regulators across the world and cutting-edge technology You may be assessed on the key critical skills relevant for success in role, such as experience with end-to-end model development, experience on coding languages like Python OR R OR C++, as well as job-specific skillsets, To be a successful Senior Model Developer in Treasury and Liquid risk you should have experience with: Treasury Models (Deterministic Model) 1 (A) You must have knowledge of the following in Risk / Finance / Quant Modelling (across at least some of the these) Treasury Risk (Interest Rate Risk of Banking Book-IRRBB), Liquidity Modelling (TWD/Unwinding of securities and balance sheet resolution/RRP), Hedge accounting (cashflow management for testing IFRS and GAAP accounting), ICAAP VAR Model (Interest Rate Risk of banking book for VAR), PRA110 liquidity reporting, Model Implementation, Treasury Models (Statistical Model 1(B) You must have knowledge of the following in Risk / Finance / Quant Modelling (across at least some of the these) Treasury Risk (Interest Rate Risk of Banking Book-IRRBB), Liquidity Modelling (TWD/Unwinding of securities and balance sheet resolution/RRP), Hedge accounting (cashflow management for testing IFRS and GAAP accounting), ICAAP VAR Model (Interest Rate Risk of banking book for VAR), PRA110 liquidity reporting, Model Implementation Hands on coding experience (as a full-stack developer / agile developer etc Preferable language is Python, C/C++ etc), Hand on experience in Model Development and/or Model Validation (core development experience preferred)/Model Implementation, Experience in IRRBB, RRP, TWD, Hegde accounting, Liquidity Modelling, FX rate risk, ICAAP VAR model, Balance-sheet Modelling, Cash Flow Forecasting, You may be assessed on essential skills relevant to succeed 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, Job location of this role is Mumbai, Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise, Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools, Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams, Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them, Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users, Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy, Ensure all development activities are undertaken within the defined control environment, 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, All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship our moral compass, helping us do what we believe is right They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge and Drive the operating manual for how we behave,

You we're made to do this work: designing new technologies, diving into data, optimizing digital experiences, and constantly developing better, faster ways to get results. You want to be part of a performance culture dedicated to building technology for a purpose that matters. You want to work in an environment that promotes sustainability, inclusion, we'llbeing, and career development. In this role, you'll help us deliver better care for billions of people around the world. It starts with YOU. In this role, you will: we're hiring a Gen AI Engineer to prototype, optimise and integrate LLM-powe'red Agentic AI solutions for sales, marketing and supply-chain cases. you'll deliver assistants and tools that plan, reason, access tools and execute tasks using Azure AI Foundry and modern orchestration frameworks. Key Responsibilities Build intelligent systems where LLM-driven agents plan, reason and achieve complex business tasks. Implement agentic flows with LangChain Agents, LangGraph , Autogen or CrewAI. Develop RAG & embedding pipelines using Azure AI Foundry and vector search (Pinecone, FAISS, Chroma, Weaviate). Contribute to solutions in summarisation , personalisation, content automation and decision support. Ensure logging, evaluation, fine-tuning, versioning and Responsible AI practices. Collaborate with data, product and engineering peers to embed AI into workflows. About You You perform at the highest level possible, and you appreciate a performance culture fueled by authentic caring. You want to be part of a company actively dedicated to sustainability, inclusion, we'llbeing, and career development. You love what you do, especially when the work you do makes a difference. At Kimberly-Clark, we're constantly exploring new ideas on how, when, and where we can best achieve results. When you join our team, you'll experience Flex That Works: flexible (hybrid) work arrangements that empower you to have purposeful time in the office and partner with your leader to make flexibility work for both you and the business. In one of our technical roles, you'll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center. To succeed in this role, you will need the following qualifications: Python FastAPI REST APIs Prompt engineering Retrieval-Augmentation Azure AI Foundry / Azure AI Services OpenAI & Hugging Face APIs Agent orchestration ( LangChain , LangGraph , Autogen , CrewAI ) Vector DBs (Pinecone, FAISS, Chroma, Weaviate ) Experiment tracking & evaluation tools (Weights & Biases, Prompt Flow) Soft Skills: Fast learner & highly adaptive Strong analytical mindset Team-oriented communicator Comfortable with ambiguity Detail-driven documentation Passion for autonomous AI assistants Education: Masters or Bachelors in Computer Science , AI, or a related field. Experience: 5 + years in Gen AI, AI model development, with a focus on generative models.

we're hiring a Staff Scientist for Uber s Direct, Connect, and Grocery Delivery team three of the company s fastest-growing business lines redefining the future of on-demand logistics. From retail returns and prescription deliveries to nationwide shipments and grocery fulfillment, this team empowers customers to get anything delivered, anytime. In this role, you'll lead the scientific strategy to create a best-in-class user experience across Uber s delivery platforms. you'll drive both merchant and consumer growth through funnel analysis, user targeting, promotion optimization, and SKU-level insights ensuring every decision is grounded in rigorous, data-driven thinking. we're looking for someone with deep analytical expertise and a strong business mindset an individual who can translate complex data into clear, actionable insights and help shape the strategic direction of our products. What you'll Do: Serve as Science Tech Lead (IC) for a team based in India, supporting Uber s Direct, Connect, and Grocery Delivery business. Apply advanced analytics, including statistical modeling, and causal inference, to improve delivery experiences. Translate complex data into actionable insights for executives and cross-functional stakeholders. Collaborate with Product, Engineering, and Ops to drive a data-informed product roadmap. Mentor scientists and promote best practices in data science and machine learning. Foster a culture of scientific rigor and strong cross-functional collaboration. What you'll Need: Undergraduate and/or graduate degree in Statistics, Machine Learning, Operations Research, or other quantitative fields. 9+ years of industry experience as an (Applied / Data) Scientist or equivalent. Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development. Experience in experimental design and analysis. Proficiency using Python, Spark at scale with large data sets. Experience with tools like SQL, R in a production environment.

In this role you will work on SoC/Sub-system level Prototype development and design bring up on HAPS/Pro FPGA HW platforms. Additionally, you will work closely with design, verification, validation, SW teams to implement emulation testbench and features required to develop content on prototyping models. You would be required to develop/port tests to qualify models. Key Skills 8-15 years of experience on SOC/Sub system Prototyping of multi-million Gate and complex Design with multiple clocks and power domains Experience in microcontroller architecture, Cores ARM A/M series, Interconnect(NIC, FlexNoC), Protocols like AHB,AXI, Memory(Flash, SRAM,DDR4/5) and memory controllers Experience in automotive protocols like LIN, CAN, High speed protocols like PCIe, Ethernet, USB etc would be an advantage Prototyping model development with actual target HW Experienced in HAPS/Pro FPGA Prototyping platforms Create and execute Test plans targeting model qualification Experience with Speed Bridge Integration and perform real time testing would be plus Scripting and Automation to continuously improve operational efficiency

We are developing state-of-the-art machine learning solutions to accelerate the Amazon India growth story. Amazon India is an exciting place to be at for a machine learning practitioner. We have the eagerness of a fresh startup to absorb machine learning solutions, and the scale of a mature firm to help support their development at the same time. As part of the India Machine Learning team, you will get to work alongside brilliant minds motivated to solve real-world machine learning problems that make a difference to millions of our customers. We encourage thought leadership and blue ocean thinking in ML. Use machine learning and analytical techniques to create scalable solutions for business problems Analyze and extract relevant information from large amounts of Amazon s historical business data to help automate and optimize key processes Design, develop, evaluate and deploy, innovative and highly scalable ML models Work closely with software engineering teams to drive real-time model implementations Work closely with business partners to identify problems and propose machine learning solutions Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production Leading projects and mentoring other scientists, engineers in the use of ML techniques About the team International Machine Learning Team is responsible for building novel ML solutions that attack India first (and other Emerging Markets across MENA and LatAm) problems and impact the bottom-line and top-line of India business. - Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse - Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals

Job Summary: Team: Model Development Associate Consultant/Consultant, is a key member of the Risk Analytics and Data Service Team and Responsible for acting as an individual contributor in the development and maintenance of AML (Anti-Money Laundering) models. The ideal candidate will act as an owner of the AML transaction monitoring framework and will use data-driven approaches to optimize model performance. Job title: Associate Consultant/Consultant Location: Bangalore/Pune Experience: 4-8 years of relevant experience Major Duties Responsible to manage, monitor, and optimize Actimize SAM models, including tuning thresholds, scenarios, and segmentation logic; Perform quantitative analysis, statistical modelling, and machine learning techniques to identify suspicious activity and reduce false positives. Collaborate with model validation and governance teams to ensure compliance with regulatory requirements Work with IT and data teams to ensure the integrity and availability of data pipelines supporting Actimize SAM and related AML systems. Support internal and external audits, regulatory reviews, and model validation documentation. Responsible for interaction with different committees and/or senior management. Qualification: Master in Statistics/ Economics/Mathematics/advanced degree in quant area Or B.tech / M.tech from tier 1 college with MBA in related field Skills Required Strong understanding Data Science and machine learning models. 3+ years of experience in banking and AML/Financial Crime Compliance, with direct experience with Actimize SAM. Strong conceptual and technical knowledge of risk concepts and quantitative modelling techniques - experience in model validation a plus Experience in R, Python, SAS. Strong organizational and interpersonal skills Excellent verbal and written communication skills (English) Experience of working in a multi-cultural and global environment

Job Description: Understanding of Basel Framework, PD, EAD, LGD and Regulatory Capital. Proficiency in SAS and Python for Model Development Good Understanding of Regulations and has experience of IRB Model Development Good understanding of retail credit risk products and their key variables.

Key Responsibilities Model Development: Design, build, and optimize supervised, unsupervised, and deep learning models for various business problems. Data Exploration & Feature Engineering: Clean, transform, and analyze structured and unstructured data; identify significant features. AI Integration: Develop end-to-end AI pipelines and integrate models into production systems using APIs or deployment frameworks. Collaboration: Work closely with product managers, domain experts, and engineers to understand requirements and translate them into data science solutions. Evaluation & Reporting: Track model performance (e.g., RMSE, F1 score, ROC AUC), and prepare technical documentation and reports. Research & Innovation: Stay up to date with latest AI/ML techniques (e.g., LLMs, transformers, reinforcement learning) and propose innovative applications. Key Skills & Qualifications Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Data Science, or related field 4-6 years of hands-on experience in: Python, R, SQL Machine Learning frameworks (e.g., Scikit-learn, XGBoost, LightGBM) Deep Learning (e.g., TensorFlow, PyTorch, Keras) Data manipulation and visualization (e.g., Pandas, NumPy, Matplotlib, Seaborn) Model deployment tools (e.g., Flask, FastAPI, Docker, MLflow) Experience with cloud platforms (AWS/GCP/Azure) and MLOps tools Familiarity with large-scale data processing (e.g., Spark, Dask) is a plus Exposure to NLP, computer vision, or generative AI (OpenAI, Hugging Face, LangChain) is highly desirable. Strong analytical and communication skills. Nice to Have Experience in industry-specific AI applications (e.g., fintech, healthcare, retail) Contribution to open-source projects or ML competitions (e.g., Kaggle) Certifications in Data Science / AI from recognized platforms. Preferred candidate profile We are seeking a highly skilled and results-driven Data Scientist / AI Specialist to join our data and AI team. You will be responsible for developing and deploying advanced machine learning and AI models to solve business problems, drive data-based decision-making, and support AI-driven product development. What We Offer A dynamic and collaborative work environment Opportunities to work on cutting-edge AI/ML projects Flexible work arrangements Competitive compensation and performance bonuses Continuous learning support through training and certifications.

About Ethos Ethos was built to make it faster and easier to get life insurance for the next million families. Our approach blends industry expertise, technology, and the human touch to find you the right policy to protect your loved ones. We leverage deep technology and data science to streamline the life insurance process, making it more accessible and convenient. Using predictive analytics, we are able to transform a traditionally multi-week process into a modern digital experience for our users that can take just minutes! We ve issued billions in coverage each month and eliminated the traditional barriers, ushering the industry into the modern age. Our full-stack technology platform is the backbone of family financial health. We make getting life insurance easier, faster and better for everyone. Our investors include General Catalyst, Sequoia Capital, Accel Partners, Google Ventures, SoftBank, and the investment vehicles of Jay-Z, Kevin Durant, Robert Downey Jr and others. This year, we were named on CB Insights Global Insurtech 50 list and BuiltIns Top 100 Midsize Companies in San Francisco. We are scaling quickly and looking for passionate people to protect the next million families! About the Role Ethos is seeking a Senior Data Analyst Engineer to join our Enterprise Systems team and help drive data operations Sales, Marketing, and Product teams. As a Senior Data Analyst Engineer, you will play a critical role in transforming raw data into actionable insights that drive business growth. If you have a passion for data analysis, development, and are proficient in SQL, DBT data modeling, we encourage you to apply. Duties and Responsibilities: Build and maintain data marts to support various business functions Work closely with cross functional stakeholders to identify and build a roadmap for new data model development Collaborate with application and product teams to understand product and application behavior to arrive at the appropriate data model Build and maintain data marts to support various business functions and carrier partners Optimize queries, and refine data structures to ensure efficient data retrieval and reporting Ensure data accuracy, consistency, and integrity by implementing data validation and data cleansing processes. Perform data quality checks and troubleshoot any issues Set standards for data model development, establish and evangelize best practices within the team and organization wide Maintain detailed documentation of data models for reference and knowledge sharing Qualifications and Skills: Proven experience in data analytics, data engineering, or a related role Strong proficiency in SQL and DBT for data model development Experience with data integration tools and platforms, including Airflow Familiarity with Mode or similar data visualization tools Knowledge of tools like Segment, Amplitude Iterable is a plus #LI-Hybrid #LI-DG1 Don t meet every single requirementIf you re excited about this role but your past experience doesn t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace. We are an equal opportunity employer who values diversity and inclusion and look for applicants who understand, embrace and thrive in a multicultural world. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records. To learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice .

Salary : 25 to 40 LPA Exp: 4 to 8 years Location :Noida/Gurugram/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 5+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Job Title: Tranport Modeller Company Name: GCC Job Description: Major Urban & Infrastructure Projects We are seeking a skilled Traffic / Transport Modeller with proven experience on major urban and infrastructure projects to join a growing team working on high-profile infrastructure and development projects across the region. What’s in it for you? Contribute to strategic modelling for major public and private sector developments Work alongside industry experts across transport planning, infrastructure, and urban design Join a well-regarded consultancy with a strong pipeline of regional projects Responsibilities Developing and calibrating strategic transport models using PTV Visum, CUBE and EMME Supporting transport studies, traffic impact assessments and transport master plans Analysing outputs and providing clear, data-driven recommendations Coordinating with multi-disciplinary teams and liaising with clients and authorities Preparing high-quality technical reports and presentations Key Competencies / Skills / Qualifications A minimum 8 to 10 years of relevant post-graduate professional experience. Demonstrable experience in transport modelling, preferential to have experience on projects within the United Arab Emirates (UAE) and KSA. Proficiency in PTV Visum (essential) Added value if you have experience in Cube, EMME and Vissim Degree in transport planning, civil engineering, or a related field Strong analytical and communication skills Deep understanding of transport model development, modelling principles, transportation planning, public transport, transit-oriented development, and urban planning policies. Ability to present transport modelling outputs to authorities and stakeholders Experience providing junction analyses to support traffic impact assessments. Competence in programming software such as Power BI, VB and Python. Capable of working with limited supervision. Able to prepare of transport modelling reports, technical notes, and reports. GCC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you are passionate about transport planning and want to make a difference, we encourage you to apply for this exciting opportunity.

AI/ML Developer Position Description: The AI/ML Developer is to develop, train, validate, and deploy AI and ML models that meet the project's analytical needs, ensuring accuracy, scalability, and efficiency. Role & responsibilities Data Processing & Analysis Collect, clean, and preprocess structured and unstructured data. Conduct exploratory data analysis to identify trends and patterns. Model Development Design, train, validate, and fine-tune machine learning models using frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Develop and optimize deep learning architectures for classification, regression, NLP, or computer vision tasks. Deployment & Integration Deploy models using tools like Docker, FastAPI, Flask, or TensorFlow Serving. Integrate models into existing applications, pipelines, or APIs. Implement monitoring and performance evaluation of deployed models. Documentation & Collaboration Write clear and comprehensive documentation for models, data pipelines, and APIs. Work collaboratively with data engineers, software developers, and domain experts to ensure alignment with project objectives. Innovation & Research Stay up to date with the latest AI/ML research and tools. Contribute to prototyping and innovation initiatives within the organization. Deliverables: Clean, well-documented code and model scripts. Trained and validated AI/ML models with performance reports. Data pipelines and preprocessing scripts. Deployment-ready models integrated with APIs or platforms. Monthly progress reports on development and outcomes. Final report with documentation on model architecture, datasets, results, and recommendations. Preferred candidate profile Education: Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Experience: Minimum 3 years of experience in machine learning or AI development Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn. Experience with data preprocessing, feature engineering, and model evaluation. Experience with cloud services (AWS, Azure, GCP) for AI model deployment, good understanding of data structures, algorithms, and software engineering practices Experience with database systems (SQL, NoSQL) and big data tools (e.g., Spark, Hadoop) is a plus. Personal Qualities: Strong analytical and problem-solving skills. Excellent programming and debugging abilities. Ability to communicate technical concepts to non-technical stakeholders. Attention to detail and commitment to reproducible research/code. Strong teamwork and collaborative mindset.

**We are looking for an AI Advisor with 10+ years of experience, based in Bangalore.** Key Responsibilities: Strategic AI Guidance : Advise the leadership and project teams on the responsible and effective integration of AI across engagements. Provide deep insights into the AI and GenAI model landscape, including open-source and commercial offerings. Assess risks related to AI implementation (e.g., bias, misuse, data privacy) and develop mitigation strategies. Model Evaluation & Use Case Realization Support model selection and evaluation for specific use cases, especially in low-resource or domain-specific contexts (e.g., agriculture, governance). Offer guidance on data strategies for model fine-tuning, including training data sufficiency, preprocessing, and adaptation. Work closely with technical teams to help translate domain needs into technical requirements, and vice versa. Help conceptualize and refine real-world use cases from ideation to implementation, including AI workflows and impact pathways. Cross-Functional Collaboration Engage with ecosystem of partners governments, development agencies, academic institutionsto drive AI thinking across projects. Communicate complex AI concepts clearly to non-technical stakeholders, enabling better alignment and decision-making. Collaborate with cross-functional teams to define requirements for AI components in DPGs and platforms. Ethical AI & Data Governance Ensure all AI solutions adhere to ethical AI principles, including fairness, transparency, explainability, and accountability. Provide strategic inputs on data governance, especially in contexts involving sensitive or multilingual datasets. Align recommendations with emerging AI regulations and standards, both global and India-specific. Qualifications & Skills: Bachelors or Masters degree in a relevant field (e.g., Computer Science, Data Science, AI, NLP, or related). 10+ years of experience in AI, consulting, or technology roles, with a strong foundation in language technology and NLP. Proven ability to evaluate and fine-tune models, especially in low-resource or emerging domain contexts. Strong understanding of AI model lifecycles, including data sourcing, model training, validation, deployment, and feedback. Excellent communication skills and experience working with multi-stakeholder environments, especially in public sector or mission-driven settings Familiarity with data privacy frameworks, ethical AI standards, and responsible AI deployment practices. Ability to think strategically, act hands-on, and operate independently in a fast-moving, collaborative environment.

Job Description: We are seeking a talented and innovative Generative Al Engineer to join our dynamic team. As a key member of our Al implementation group, you will play a crucial role in designing, implementing, and optimizing state-of-the-art natural language processing models, particularly focusing on conversational agents and related technologies. Responsibilities: 1) Model Development: Lead the development and implementation of generative Al models. Collaborate with cross-functional teams to understand requirements and design models that meet specific business objectives. 2) Training and Fine-Tuning: Train and fine-tune models using large datasets to enhance performance, accuracy, and natural language understanding. Continuously evaluate and improve model effectiveness through experimentation and iteration. 3) Innovation: Stay abreast of the latest advancements in generative Al. Propose and implement innovative algorithms to improve the capabilities and efficiency of conversational agents. 4) Integration: Collaborate with software engineers to seamlessly integrate generative Al into various applications and platforms. Ensure optimal performance and resource efficiency in real-world deployment scenarios. 5) Evaluation and Metrics: Develop and implement evaluation metrics to assess model performance and user experience. Iterate on models based on user feedback and performance analytics to achieve the desired conversational outcomes. 6) Collaboration: Engage with the wider Al research community, stay informed about cutting-edge research, and actively participate in research collaborations and publications. 7) Documentation: Create comprehensive documentation for models, algorithms, and processes. Ensure knowledge transfer to other team members and stakeholders. Performance and user experience. Iterate on models based on user feedback and performance analytics to achieve the desired conversational outcomes. 8) Collaboration: Engage with the wider Al research community, stay informed about cutting-edge research, and actively participate in research collaborations and publications. 9) Documentation: Create comprehensive documentation for models, algorithms, and processes. Ensure knowledge transfer to other team members and stakeholders. Qualifications: Educational Background: Bachelors/Masters or Ph.D. in Computer Science, Artificial Intelligence, or a related field. Experience: Experience in developing/deploying generative Al models, Must experience in Banking domain for 2 years. Problem Solving: Strong analytical and problem-solving skills with the ability to think creatively and develop innovative solutions to complex challenges. Communication Skills : Excellent communication and collaboration skills to work effectively with cross-functional teams and articulate complex technical concepts to non-technical stakeholders. Continuous Learning: commitment to staying updated on the latest advancements in Al and a passion for continuous learning and improvement. Location: Belapur (Navi Mumbai)

About The Role : In Scope of Position based Promotions (INTERNAL only) Job Title Model Validation Specialist Associate Location Mumbai, India Role Description Model Risk Managements mission is to manage, independently and actively, model risk globally in line with the bank's risk appetite with responsibility for: Performing robust independent model validation; Ensuring early and proactive identification of Model Risks; Effectively managing and mitigating Model Risks; Establishing Model Risk metrics; Designing and implementing a strong Model Risk Management and governance framework; Supporting bank-wide Model Risk-related policies. This role spans all aspects of validation applicable to the portfolio of estimation approaches within the Deutsche Bank Combined US Operations (CUSO) across all relevant business units and risk types. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy: Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities The core responsibility will be to validate IB Stress testing models used within the larger CCAR PPNR umbrella for DB USA. Its important for incumbent to grasp and understand Investment Banking side of the banks business. However, the role might necessitate model validator to be flexible in moving around different risk areas within US model validation team outside of core area of responsibility. Key tasks include, but not limited to model performance testing, scenario analysis, sensitivity analysis, and conceptual assessment of model assumptions/limitations/weaknesses. Developing challenger models including independent data collection and by performing complex analysis and testing. Follow regulatory guidelines and the Banks policies and procedures for model risk management, especially CCAR-specific guidelines. Bringing efficiency by automating processes and uplifting frameworks. Your skills and experience 3-6 years of professional experience in model development/ validation or related areas. Previous experience in stress testing (DFAST/CCAR/ICAAP) would be a plus. Ability to analyse and understand financial statements (Balance sheet, Income statement) will be advantageous. Candidate needs to have decent knowledge about financial products and the associated risk factors. Candidate needs to have above average report drafting skills and should be able to independently compile model validation reports, follow-through on mitigation of validation findings, and documentation thereof. Very strong data management and analysis skills with experience in relevant software packages, e.g., R and Python. Good presentation & communication skills Candidates with Mathematics/Statistics/Economics/Engineering/ MBA or allied background holding Graduate/Post-Graduate degrees are preferred. CFA / FRM certification will be a plus for the role. How we'll support you Training and development to help you excel in your career. Coaching and support from experts in your team A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

About The Role : Job TitleModel Validation Lead- Derivative Pricing Corporate TitleVP LocationMumbai, India Role Description Model Risk Managements mission is to manage, independently and actively, model risk globally in line with the bank's risk appetite with responsibility for: Performing robust independent model validation; Ensuring early and proactive identification of Model Risks; Designing and recommending Model Risk Appetite; Effectively managing and mitigating Model Risks; Establishing Model Risk metrics; Designing and implementing a strong Model Risk Management and governance framework; Creating bank-wide Market Risk policies The Pricing Model Validation team as part of MoRM is responsible for the independent review and analysis of all derivative pricing models used for valuation and pricing across the bank. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities The role is to independently review and analyse derivative models for pricing and risk management across Rates, FX and Hybrids. The role as a Quantitative Analyst in Mumbai will work closely with the pricing validation team in London and Berlin to produce, analyse and document validation testing. Reviews and analysis require a good understanding of the mathematical models used, implementation methods, products traded in these markets, and the associated risks. The outcome of review and analysis and independent implementation will form the basis of discussion with key model stakeholders includingFront Office Trading; Front Office Quants; Market Risk Managers; and Finance Controllers. Your skills and experience Excellent mathematical ability with an understanding of Stochastic Calculus, Partial Differential Equations, Monte-Carlo Methods, Finite Difference Methods, and Numerical Algorithms. Strong interest in financial markets (especially derivative pricing) demonstrated by qualifications and/or experience. Experience coding in Python an advantage. Excellent communication skills both written and oral. Education/Qualifications Academic degree in a quantitative discipline (e.g. Mathematical Finance / Statistics, Maths, Physics, Engineering) with a focus on application. How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Role & responsibilities Managing multiple projects in multiple geographies Handling teams of multiple projects across different areas of analytics, risk management etc. Handling pre sales meetings with clients Keeping track of latest regulatory updates & preparing offering on them Client Handling - Understanding client requirements, problems etc. Preparing presentation and presenting it to Senior Management Liaison with clients for understanding their problems & providing appropriate solution Preparing presentations and other documents as per client requirements Doing independent research to come up with innovative solutions/ideas Provide thought leadership and hands-on experience for ongoing initiatives Train and guide team of consultants Will be responsible of different project ranging from: Part of Center of Excellence” of Credit Risk Modeling IFRS 9 Model Development & Validation Development/Validation of PD (Application & Behavioral Scorecard), LGD and EAD Retail Models Developing/Validation Rating Models for Corporate banking portfolios Stress Testing Models Develop/validate models like Collection, Propensity, Maturity, Pricing, etc. Advanced Analytics Solution (Machine Learning, Digital Lending etc.) Development of acquisition fraud scorecard Loss Forecasting Developing/Validating Rating Models for Corporate banking portfolios Developing/Reviewing ICAAP & RAROC Models A

Salary : 20 to 35 LPA Exp: 3 to 10 years Location :Bangalore/Pune/Gurugram (Hydrid) Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) PD/LGD model development Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Text classification using any of the following : decision trees, knn classification, support vector machines or LDA Exp on SQL would be a plus

Location: PAN India Immediate joiner required Experienced in end to end capital or Impairment process management RWA calculation engine using Standardized approach (BASEL 1/2/3) for Credit Risk Asset classification for Retail and Wholesale Products, Collateral Adjustment, on balance/ off balance exposure calculation Migration RWA calculation from BASEL 3 to 3.1 using Standardized or AIRB approach Knowledge of Banking domain/ banking products like Retail, corporate, banks, SME, Sovereign Project management / stakeholder management Keywords : Standardized approach - BASEL 1/2/3 Capital Reporting (Standardized approach) RWA Calculation Credit Risk (RWA) capital management

Job Title : Associate Principal India Locations: Hyderabad Who we are Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence. We are a Great Place to Work-Certified (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine Curious about the role? What your typical day would look like? Your work is a combination of hands-on contribution to Loreum Ipsum, Loreum Ipsum, etc. More specifically, this will involve: Lead and contribute to developing sophisticated machine learning models, predictive analytics, and statistical analyses to solve complex business problems. Demonstrate proficiency in programming languages such as Python or R, with the ability to write clean, efficient, and maintainable code. Experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is essential. Use your robust problem-solving skills to develop data-driven solutions, analyse complex datasets, and derive actionable insights that lead to impactful outcomes. Work closely with clients to understand their business objectives, identify opportunities for analytics-driven solutions, and communicate findings clearly and promptly. Take ownership of end-to-end model development, from problem definition and data exploration to model training, validation, and deployment. Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders, to integrate analytics solutions into business processes. Leverage a profound understanding of mathematical and statistical principles to guide developing and validating advanced data science models. Stay abreast of industry trends, emerging technologies, and best practices in data science, bringing innovative ideas to the team and contributing to continuous improvement. Desired Skills and Experience: 8 -10 years of total DS and model development experience Mandatory : Minimum 4+ years of experience in the Banking and Financial services industry A passion for writing high-quality code (Python), and the code should be modular, scalable, and end-end project execution while planning an active hands-on role Having good problem-solving skills is essential, and it is equally important to have in-depth knowledge to solve complex problems effectively. Comprehensive knowledge of the regression and classification concepts and mathematical backend along with SQL Encourage collaboration with various stakeholders and take complete ownership of deliverables. Adept understanding of various data science approaches, machine learning algorithms, and statistical methods. Excellent communication skills with presentability, articulation, storytelling capability, and ability to manage complex client situations Effective mentoring of a team with expertise in industry/domain/functional areas You are important to us, let’s stay connected! Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire. Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry. Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities