409 Model Development Jobs

As a Vice President / Lead Vice President, Model Risk Governance at HSBC, you will play a crucial role in contributing to the setting of the firm's model risk policies and procedures. Your responsibilities will involve ensuring that model risk is managed within approved tolerance levels and undertaking reviews to validate policy implementation across businesses and functions. You will be advising, reviewing, and challenging the 1LOD on the appropriateness of their model risk management, MRM policy execution, and reporting. Your role will also include producing regular Model Risk Reporting, developing training materials for global awareness of model risk management within HSBC, and designing processes to ensure adherence to risk steward responsibilities in line with the Group Risk Management Framework. In this position, you will be required to suggest enhancements to systems, tooling, and working practices for improved efficiency. Additionally, you will prepare and deliver related reporting for the HSBC Group Chief Model Risk Officer and model risk governance committees, ensuring compliance with regulatory requirements and promoting adherence to PRA Model Risk Management Principles. To excel in this role, you should possess significant experience in model risk management, governance, or model development/validation, along with knowledge of local regulators and regulations. Effective communication skills, attention to detail, and the ability to develop strong networks with key stakeholders are essential. Your team-oriented mentality, combined with the capacity to work independently at a high-quality standard, will be key to supporting the management of model risk across a large complex banking group.,

At EY, you have the opportunity to shape a career that aligns with your unique qualities, supported by a global platform, inclusive environment, and cutting-edge technology to empower you to excel. Your distinctive voice and perspective are valued contributions towards enhancing EY's continuous evolution. Join us in crafting a remarkable journey for yourself and contributing to a more progressive working world for all. As a Senior Manager in EY's Financial Services Office (FSO), you will be an integral part of a specialized unit offering a comprehensive range of services tailored to the financial sector. Leveraging deep industry knowledge and functional expertise, the FSO practice delivers advisory services to various entities in the financial landscape, including commercial banks, investment firms, insurance companies, and energy trading enterprises. Your role within the Financial Services Risk Management (FSRM) group focuses on assisting clients in identifying, measuring, managing, and monitoring market, credit, operational, and regulatory risks associated with their trading activities and capital management processes. Your key responsibilities include: - Demonstrating expertise in financial products and technical capabilities - Acting as a subject matter expert in areas such as model risk management, statistical techniques, mathematical concepts, and derivative pricing - Providing strategic recommendations on Financial Services Risk Management issues - Engaging in Quantitative Risk and Assurance projects related to market risk and credit risk modeling - Contributing to business development initiatives, sales enablement, and expansion of client accounts - Conducting performance reviews, recruiting talent, and fostering professional development - Creating intellectual capital by developing thought leadership articles and white papers To qualify for this role, you should possess: - A degree in Computational Finance, Mathematics, Engineering, Statistics, or Physics, with 11+ years of relevant industry experience - Professional qualifications such as CQF, CFA, FRM, or PRM are preferred - Proficiency in statistical and numerical techniques, derivative pricing, and risk measurement methodologies - Strong communication, problem-solving, and project management skills - Willingness to travel as required and a proactive attitude towards learning and innovation At EY, you will be rewarded with a competitive compensation package based on performance, along with a collaborative work environment that fosters growth and development. Your contributions will be instrumental in delivering exceptional services to clients, establishing you as a trusted advisor and propelling your career to new heights. EY is dedicated to building a better working world by creating long-term value for clients, society, and the capital markets. With a global presence spanning over 150 countries, EY's diverse teams leverage data and technology to provide assurance and drive transformation across various sectors. Join us in asking better questions to address the complex challenges of today's world and make a meaningful impact.,

As a Risk Manager/Senior Risk Manager - Model Validation at DWS Group in Pune, India, you will be part of one of the world's leading asset managers with EUR 841bn of assets under management. DWS Group has a reputation for excellence in Germany, Europe, the Americas, and Asia, offering integrated investment solutions across major asset classes and aligning with growth trends. The Risk platform at DWS serves as an independent risk oversight function, with a focus on Model Risk to govern and control various models used within the Firm and associated risks. Your role will involve conducting model validations on DWS models, collaborating with Investment teams on model assumptions and limitations, participating in independent model reviews, reviewing ongoing model monitoring reports, and assisting in building benchmark models. You should have previous experience in quantitative risk management, model validation, or model development within the Investments, Consulting, or Banking industry, with expertise in validating or developing valuation or risk models across asset classes like FX, Rates, and Equities. Strong quantitative skills, a good understanding of valuation methods, capital markets, portfolio theory, and risk management are essential. Additionally, excellent verbal and written communication skills, along with a post-graduate degree in a quantitative field or relevant industry experience/professional qualification, are required. DWS Group offers a comprehensive benefits package, including a best-in-class leave policy, gender-neutral parental leaves, childcare assistance benefits, sponsorship for industry certifications, employee assistance programs, insurance coverage, and health screening. You will receive training and development support, coaching from experts in your team, and opportunities for continuous learning to aid in your career progression. At DWS Group, we strive for a culture of empowerment, responsibility, commercial thinking, initiative, and collaboration. We celebrate the successes of our people and promote a positive, fair, and inclusive work environment. Join us at Deutsche Bank Group and be part of a team that excels together every day. To learn more about DWS Group, please visit our company website at https://www.db.com/company/company.htm. We welcome applications from all individuals who share our values and ethos.,

As the Technology Planning Specialist for ADAS (Advanced Driver Assistance Systems), your primary responsibility will be to develop and oversee the strategic roadmap for ADAS technologies. This includes features such as adaptive cruise control, automatic emergency braking, lane-keeping assist, blind-spot monitoring, traffic sign recognition, and autonomous driving capabilities. You will collaborate with various teams to align the ADAS technology strategy with product portfolio plans for different vehicle models and segments, ensuring a seamless progression from basic to advanced features across entry-level to premium vehicles. Your role will involve identifying emerging ADAS trends and future needs, integrating them into long-term product strategies. You will also be tasked with identifying consumer latent needs and potential technologies to enhance the ADAS systems. Collaboration with engineering, R&D, software development, and safety teams will be essential to develop ADAS systems that align with vehicle architecture and performance goals. Furthermore, you will work closely with global and regional product teams to adapt ADAS features according to specific market needs and regulations. Acting as the liaison between technical teams and business stakeholders, you will ensure that ADAS development timelines are in sync with product launch schedules. Your duties will also include ensuring the successful integration of ADAS features into different vehicle segments, ranging from entry-level to luxury models, by providing scalable solutions. Customizing ADAS features to meet the unique needs and characteristics of each model or segment will be a key aspect of your role, balancing technology complexity, cost, and customer expectations. Additionally, you will explore emerging trends such as autonomous driving, vehicle-to-infrastructure (V2I), and vehicle-to-vehicle (V2V) communication, and integrate them into the company's ADAS roadmap where applicable. Your understanding of macro-economic factors and their impact on the passenger car market, proficiency in project management tools and methodologies, and ability to evaluate product features in terms of cost, performance, and customer value will be crucial for success in this role. In terms of behavioral skills, you are expected to possess excellent presentation and communication skills, be self-driven, eager to learn, and result-oriented. Being well-organized, highly motivated, and able to work cross-functionally are essential traits for this position. Strong problem-solving and analytical skills, experience in managing cross-functional teams, and the ability to engage with stakeholders across different levels of the organization and functions are also required. Having a basic knowledge of emerging trends in product, body type, technology, and design, as well as an understanding of vehicle segmentation, data analytics, and translating consumer feedback into technical parameters will be beneficial. Proficiency in MS Office tools, business portfolio, and financial analysis of OEMs are also expected in this role.,

Are you seeking an exciting opportunity to become a part of a dynamic and expanding team in a fast-paced and challenging field As a statistical and machine learning Vice President and subject matter expert, you will join the Model Risk Governance and Review (MRGR) team within the Consumer and Community (CCB) line of business. Your primary responsibilities will include: Engaging in comprehensive model validation activities by assessing conceptual soundness, reasonableness of assumptions, reliability of inputs, completeness of testing, and correctness of implementation related to model development and usage. Conducting thorough reviews of proposed enhancements to existing models and scope extensions for current models, providing specific approvals as necessary. Assessing risks associated with advanced AI/ML models, including Generative AI, and ensuring that appropriate model review and governance processes are followed to effectively mitigate potential risks. Managing activities related to the model risk lifecycle, including overseeing the accuracy of the model inventory, reviewing ongoing model performance monitoring, conducting annual status assessments, and managing model change control. Maintaining robust model risk controls for CCB models and serving as the primary point of contact, proactively identifying and escalating issues to ensure timely and sound resolutions. Providing leadership and mentorship to junior resources, guiding them in Model Review and Governance activities. Participating and actively contributing to the activities and initiatives of MRGR CCB and MRGR as a whole, fostering a collaborative and innovative environment. Staying updated on the latest developments in consumer banking, including advanced AI/ML modeling techniques, products, markets, risk management practices, and industry standards. We are seeking an individual excited about joining our organization. If you meet the following requirements, we encourage you to apply for consideration for this role: Experience in Model Development or Model Validation - 8-10 Years Strong quantitative and analytical skills: The role necessitates a robust quantitative background (PhD/Master's Degree or equivalent) in Statistics, Economics (with Econometrics), Data Science, Computer Science, Operations Research, or a quantitative science, etc. Candidates with knowledge of both statistical/econometric methodologies and Machine Learning modeling methodologies are preferred. Programming Skills: Proficiency in at least one programming language such as Python, SAS, R, etc. Product domain expertise in consumer banking/retail banking; ability to comprehend the business/knowledge of regulations surrounding the business. Extensive experience and familiarity in Model Development or Model Validation in Financial institutions. Strong communication skills - verbal and written, with the ability to interface with stakeholders on model-related issues. Risk and control mindset: Ability to ask incisive questions, assess the materiality of issues, and escalate as required. Preferred qualifications, capabilities, and skills include: Sound project management and organizational skills: Flexible, adaptable to shifting priorities to achieve the most effective result, and able to work in a fast-paced, results-driven environment.,

The Model Risk Management (MRM) team at FC Global Services India LLP (First Citizens India), a part of First Citizens BancShares, Inc., is dedicated to providing oversight for the MRM Framework, ensuring that models align with business objectives and design objectives. As the Principal Advisor - Model Risk Management (MRM), you will be responsible for conducting independent model validations to verify that models are performing as expected and to identify potential limitations that could impact their effectiveness. In this role, you will play a crucial part in ensuring that models are appropriately designed, implemented, and managed, in line with regulatory standards and best practices. Based out of the First Citizens India (FCI) office in Bangalore, you will report to the Associate Director of Model Risk Management, India, and collaborate closely with the global MRM team. Your primary responsibilities will include conducting comprehensive model validations, analyzing model inputs, evaluating model frameworks, reviewing model code, analyzing outcomes, identifying and mitigating risks, documenting findings, and supporting audit and regulatory reviews. You will also be expected to stay updated on emerging trends and contribute to the enhancement of the model validation framework. To excel in this role, you should have a strong understanding of regulatory requirements, experience with statistical tools like Python and R, proficiency in SQL for data extraction, excellent problem-solving skills, attention to detail, and the ability to lead projects independently. Strong written and verbal communication skills, strategic planning skills, stakeholder management skills, and the ability to collaborate effectively with team members are essential for success in this position. The ideal candidate will hold a relevant Bachelor's or Master's degree with a specialization in Statistics, Mathematics, Economics, or another quantitative discipline. Additionally, you should have at least 7 years of experience in model development, model validation, or model implementation within the financial industry, with proficiency in statistical methods and programming languages. Experience in model development or validation for Treasury models, PPNR models, Balance sheet forecasting models, ALM models, Valuation models, Counterparty credit risk models, or knowledge of statistical and machine learning models would be advantageous. If you are passionate about model risk management, possess the required skills and experience, and are looking to be part of a dynamic and collaborative team focused on delivering value and managing risks, we encourage you to apply for this exciting opportunity at First Citizens India.,

As an Assistant in the Risk Management team, your primary responsibility will be to support the effective implementation of risk management frameworks and cultivate a robust risk culture within the organization. You will work closely with the Chief Risk Officer to execute policies, processes, thresholds, and controls that facilitate timely risk identification, precise risk measurement, and efficient risk management practices. Your key responsibilities will include assisting in the implementation of risk management frameworks, fostering a risk-aware culture, reviewing credit appraisal notes for assessing credit risk, monitoring internal ratings, and contributing to the development of risk reporting dashboards for management and Board meetings. Additionally, you will play a vital role in enhancing the Risk and Control Self Assessment (RCSA) framework, Key Risk Indicators, and ICAAP Policy in alignment with internal policies and regulatory guidelines. The ideal candidate for this role will possess a post-graduate degree in Business Administration (MBA) with a specialization in Finance or hold qualifications such as CA, FRM. You should have up to 5 years of experience in Banks, NBFCs, or AIFIs, along with the ability to collaborate effectively in cross-functional teams and engage with multiple stakeholders to ensure project success. Strong communication skills, both verbal and written, are essential, coupled with a deep understanding of credit risk assessment processes, valuation methodologies, and credit risk models. Moreover, you should demonstrate proficiency in accounting concepts, capital adequacy, balance sheets, income statements, model/data constructs, and statistical tools for data analysis. Strong analytical and problem-solving skills, complemented by a high level of numeracy and research capabilities, will be crucial for excelling in this role. Ready to take on additional responsibilities as assigned by the Chief Risk Officer, you will be a proactive team player dedicated to promoting a risk-aware culture and enhancing risk management practices within the organization.,

Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group, a global business line that combines market-leading expertise in strategy, technology, data science, and creative design to help CxOs envision and build what's next for their businesses. In this role, you will be responsible for architecting and implementing advanced generative AI models with a focus on applications like image and text generation, content creation, and synthetic data generation. You will also be developing, fine-tuning, and optimizing these models to ensure they meet performance, scalability, and business objectives. Applying solid data science principles, you will enhance AI/ML models using statistical analysis and machine learning techniques to improve accuracy and efficiency. Collaboration with data engineers, software developers, and product managers will be crucial to integrating generative AI models into products and services, aligning with business objectives. Staying updated with the latest advancements in AI/ML and generative AI, you will drive the adoption of new technologies and best practices within the team. Furthermore, you will be responsible for ensuring ethical AI implementation by designing and deploying AI models with ethical considerations, adhering to industry standards, and regulatory requirements. To be successful in this role, you should possess a bachelor's or master's degree in computer science, AI, Machine Learning, Data Science, or a related field, along with 5+ years of experience in AI/ML, particularly with generative AI models. Strong expertise in developing and deploying generative AI models, proficiency in Python, and experience with AI development libraries such as TensorFlow and PyTorch are required. Additionally, familiarity with advanced techniques like Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering, and zero-shot learning will be beneficial. Domain knowledge in NLP or computer vision related to generative AI applications is also desired. At Capgemini, we value flexible work arrangements to support a healthy work-life balance, whether through remote work or flexible work hours. Our career growth programs and diverse professions are designed to help you explore a world of opportunities. You will have the opportunity to equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner with a strong heritage trusted by clients worldwide. Our team members in over 50 countries work together to accelerate the dual transition to a digital and sustainable world, creating tangible impact for enterprises and society. We offer end-to-end services and solutions leveraging strengths in AI, cloud, and data, combined with deep industry expertise and a strong partner ecosystem. Join us in unlocking the value of technology to address a wide range of business needs.,

We are seeking a highly skilled Lead Platform Engineer with 7+ years of experience to drive innovation at the intersection of DevOps, cloud automation, and artificial intelligence. The ideal candidate will have deep expertise in generative AI, machine learning, and AIOps, coupled with advanced knowledge of cloud infrastructure automation and modern engineering practices. This role involves leading the design, development, and implementation of transformative automation solutions using AI/ML and generative AI technologies. Responsibilities Architect automated workflows for cloud infrastructure provisioning and management using IaC tools like Terraform Build and optimize automation frameworks to enable scalable multi-cloud infrastructure deployment and management Develop and enhance service catalog components with integration into platforms such as Backstage, leveraging GenAI models for code generation Implement CI/CD pipelines to streamline code builds, testing, and deployments, ensuring continuous delivery across diverse cloud environments Write and maintain automation scripts using Python, Bash, or similar scripting languages Act as deployment orchestrator, driving smooth, automated deployments across cloud ecosystems Design and implement generative AI models such as RAG and agentic workflows using frameworks like Langchain or platforms like Bedrock, Vertex, Azure AI Build and manage vector document sources and vector databases (e.g., Amazon Kendra, Opensearch) for AI-driven applications Prepare datasets, apply feature engineering, and optimize inputs for AI/ML models to enhance training and inference outcomes Create and integrate agentic workflows using approaches like ReAct patterns or Langraph engineering with cloud GenAI platforms Evaluate model performance and select appropriate large language models (LLMs) for specific use cases while preventing model decay through prompt/flow engineering Develop MLOps pipelines to deploy RAG or agentic flows, monitoring and iterating to ensure long-term operational performance Collaborate with cross-functional teams to develop innovative cloud automation and AIOps capabilities, driving operational efficiency Requirements Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field 7+ years of experience in cloud infrastructure automation, DevOps, and scripting Expertise in IaC tools such as Terraform, CloudFormation, or similar technologies Strong proficiency with Python and generative AI frameworks (RAG, agentic workflows) Proven experience working with GenAI platforms like Bedrock, Vertex AI, or Azure AI Competency in building and managing vector databases like Opensearch or Amazon Kendra Proficiency in data preparation, feature engineering, and dataset optimization for AI model development Background in designing and operating CI/CD pipelines and automating deployment workflows Knowledge of cloud automation tools, service catalogs, and integration platforms (e.g., Backstage) Nice to have Familiarity with data streaming solutions and data lake architectures for real-time AI insights Understanding of ReAct patterns and Langraph engineering for agentic workflows Skills in integrating GenAI models into existing operational platforms for enhanced automation Showcase of experience driving AIOps initiatives in large-scale environments Flexibility to adapt and utilize emerging AI/ML technologies in solving complex operational challenges

Our Company Changing the world through digital experiences is what Adobes all about We give everyone?from emerging artists to global brands?everything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen, Were on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Applied Research Team will work at the fore front of applying cutting-edge technologies in practical and user-centric applications Their primary focus will be on implementing and optimizing generative AI solutions for a range of applications in graphics and design This includes the development of sophisticated image processing techniques and the enhancement of human-computer interaction interfaces using machine learning algorithms They will also be deeply involved in programming with languages like C++ and Python to develop robust, production-level software The team will utilize machine learning frameworks such as TensorFlow and PyTorch, not only for model development but also for converting and deploying these models efficiently in production environments Their work will be vital in transforming theoretical AI advancements into accessible, efficient, and impactful applications, constantly iterating and improving upon them to meet evolving user needs and industry standards, Adobe is proud to be an Equal Employment Opportunity employer We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law Learn more about our vision here, Adobe aims to make Adobe accessible to any and all users If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe or call (408) 536-3015, Show

With the increase in accessibility and usage of Machine Learning models, the standards that these models must adhere to are evolving at a rapid pace. The ML Model Risk team helps the developers adhere to these ever-evolving standards and regulations and helps them take a risk first approach to model development. Job summary As a Machine Learning Model Risk VP within our Applied AI and Machine Learning organization, you will be part of a team focused on reducing model risk. You will ensure robust model development processes, apply machine learning and data science methodologies to financial markets, and collaborate with developers to reduce model risk. You will also guide models through the review process, evaluate new ML vendor tools, and ensure compliance with evolving ML development standards. This role provides an opportunity to participate in cutting-edge research and contribute to the development of our machine learning models. You will expected to guide and lead junior data scientists Job responsibilities Participating in cutting edge research and applying machine learning and data science methodologies to financial markets and related operations Analyze the models through a risk-based lens and collaborate with developers to reduce model risk Provide feedback and collaborate with users and developers to ensure optimal development of ML models Develop and maintain a list of tests to validate various common techniques used to build Machine learning models Guiding models through the review process and enhancing and improving them as required Evaluate new ML vendor tools for usefulness, effectiveness and ease of deployment in CIB Understand the ever evolving ML development standards and processes and communicate with developers to ensure compliance Required qualifications, capabilities and skills Master s, PhD, or equivalent degree program in mathematics, sciences, statistics, econometrics, engineering, financial engineering, computer science, or other quantitative fields Mastered advanced mathematics and statistics (i.e., probability theory, time series, econometrics, optimization), with core expertise in statistics and machine learning theory, techniques, and tools Strong written and oral communication and interpersonal skills Strong Stakeholder & Project Management skills Ability to ask incisive questions, converge on critical matters, assess materiality and escalate issues Basic understanding of the companys business practices and familiarity with the companys products and services Preferred qualifications, capabilities and skills Programming experience with Python; experience in MLOps would be a positive Experience with python programming and implementing machine learning techniques. Experience in Model Risk or Machine learning teams Experience in developing testing frameworks for ML models Experience in handling multiple stakeholders With the increase in accessibility and usage of Machine Learning models, the standards that these models must adhere to are evolving at a rapid pace. The ML Model Risk team helps the developers adhere to these ever-evolving standards and regulations and helps them take a risk first approach to model development. Job summary As a Machine Learning Model Risk VP within our Applied AI and Machine Learning organization, you will be part of a team focused on reducing model risk. You will ensure robust model development processes, apply machine learning and data science methodologies to financial markets, and collaborate with developers to reduce model risk. You will also guide models through the review process, evaluate new ML vendor tools, and ensure compliance with evolving ML development standards. This role provides an opportunity to participate in cutting-edge research and contribute to the development of our machine learning models. You will expected to guide and lead junior data scientists Job responsibilities Participating in cutting edge research and applying machine learning and data science methodologies to financial markets and related operations Analyze the models through a risk-based lens and collaborate with developers to reduce model risk Provide feedback and collaborate with users and developers to ensure optimal development of ML models Develop and maintain a list of tests to validate various common techniques used to build Machine learning models Guiding models through the review process and enhancing and improving them as required Evaluate new ML vendor tools for usefulness, effectiveness and ease of deployment in CIB Understand the ever evolving ML development standards and processes and communicate with developers to ensure compliance Required qualifications, capabilities and skills Master s, PhD, or equivalent degree program in mathematics, sciences, statistics, econometrics, engineering, financial engineering, computer science, or other quantitative fields Mastered advanced mathematics and statistics (i.e., probability theory, time series, econometrics, optimization), with core expertise in statistics and machine learning theory, techniques, and tools Strong written and oral communication and interpersonal skills Strong Stakeholder & Project Management skills Ability to ask incisive questions, converge on critical matters, assess materiality and escalate issues Basic understanding of the companys business practices and familiarity with the companys products and services Preferred qualifications, capabilities and skills Programming experience with Python; experience in MLOps would be a positive Experience with python programming and implementing machine learning techniques. Experience in Model Risk or Machine learning teams Experience in developing testing frameworks for ML models Experience in handling multiple stakeholders

Your Role Drive the strategic vision for AI/ML initiatives and align them with the companys broader AI roadmap. Lead cross-functional teams including data scientists, ML engineers, and architects to deliver scalable AI solutions. Translate complex technical insights into actionable business strategies and communicate them effectively to stakeholders. Oversee the full lifecycle of AI/ML projects, leveraging LLMs and generative AI to build innovative, data-driven applications. Ensure high standards of data quality, model performance, and system reliability while staying current with emerging AI trends. Your Profile Over 10 years of experience in data science with a Masters/PhD from a Tier 1 institute, specializing in AI/ML model development and deployment. Expertise in machine learning, deep learning, NLP (including LLMs like GPT, BERT, Gemini), and big data frameworks like Spark/Hadoop. Skilled in Python, R, and deep learning libraries (TensorFlow, PyTorch, Keras), with hands-on experience in cloud platforms (AWS, GCP, Azure). Strong leadership in managing data science teams and implementing MLOps practices for scalable model delivery. Excellent communication, cross-functional collaboration, and deep understanding of data privacy, security, and agile methodologies. What You Will Love Working at Capgemini Work on cutting-edge AI/ML solutions using deep learning, NLP, and LLMs like GPT, BERT, and Gemini across cloud platforms (AWS, GCP, Azure). Lead and mentor data science teams to deliver scalable, secure, and production-ready models using MLOps best practices. Clear career progression paths from engineering roles to architecture and consulting. Be part of mission-critical projects that ensure security, compliance, and operational efficiency for Fortune 500 clients.

Job Purpose and Impact The R&D Senior Data Scientist will work collaboratively in multidisciplinary teams to develop complex proof of concepts, minimum viable products and fully deployable solutions. In this role, you will create complex predictive and optimization models that help deliver significant value to the company's businesses and functions. Key Accountabilities Continuously seek out best practices and develop skills. Work on multidisciplinary teams of data engineers, software engineers, data scientists and business subject matter experts to deliver complex projects on time and within budgets. Translate ambiguous and complex business problems into project charters clearly identifying technical risks and project scope. Take ownership for the entire data science workflow that includes a well defined, complex project scope, exploratory data analysis, model development, deployment and monitoring. Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff. Other duties as assigned Qualifications Minimum Qualifications Bachelor's degree in data science, computer science, math, engineering or related field or equivalent experience, Confirmed ability to present to non technical audiences Strong python programming skills Experience in a minimum of two machine learning algorithms approaches: unsupervised, supervised and reinforcement learning Preferred Qualifications Master's degree or PhD in data science, computer science, math, engineering or related field Strong data visualization skills Strong SQL skills Experience working with continuous integration and delivery (CI/CD) pipelines Experience working with Hadoop and other distributed computing frameworks Experience working with AWS Experience in software development environment and code management or versioning Experience in agriculture

Your Position You will work as a Data Engineer with Machine Learning expertise in the Predictive Maintenance team. This hybrid and multi-cultural team includes Data Scientists, Machine Learning Engineers, Data Engineers, a DevOps Engineer, a QA Engineer, an Architect, a UX Designer, a Scrum Master, and a Product Owner. The Digital Service Platform focuses on optimizing customer asset usage and maintenance, impacting performance, cost, and sustainability KPIs by extending component lifetimes. In your role, you will: Participate in solution design discussions led by our Product Architect, where your input as a Data Engineer with ML expertise is highly valued. Collaborate with IT and business SMEs to ensure delivery of high-quality end-to-end data and machine learning pipelines. Your Responsibilities Data Engineering Develop, test, and document data (collection and processing) pipelines for Predictive Maintenance solutions, including data from (IoT) sensors and control components to our data platform. Build scalable pipelines to transform, aggregate, and make data available for machine learning models. Align implementation efforts with other back-end developers across multiple development teams. Machine Learning Integration Collaborate with Data Scientists to integrate machine learning models into production pipelines, ensuring smooth deployment and scalability. Develop and optimize end-to-end machine learning pipelines (MLOps) from data preparation to model deployment and monitoring. Work on model inference pipelines, ensuring efficient real-time predictions from deployed models. Implement automated retraining workflows and ensure version control for datasets and models. Continuous Improvement Contribute to the design and build of a CI/CD pipeline , including integration test automation for data and ML pipelines. Continuously improve and standardize data and ML services for customer sites to reduce project delivery time. Actively monitor model performance and ensure timely updates or retraining as needed. Your Profile Minimum 4 years' experience building complex data pipelines and integrating machine learning solutions. Bachelor's or Master's degree in Computer Science, IT, Data Science, or equivalent. Hands-on experience with data modeling and machine learning workflows . Strong programming skills in Java , Scala , and Python (preferred for ML tasks). Experience with stream processing frameworks (e.g., Spark) and streaming storage (e.g., Kafka). Proven experience with MLOps practices, including data preprocessing, model deployment, and monitoring. Familiarity with ML frameworks and tools (e.g., TensorFlow, PyTorch, MLflow). Proficient in cloud platforms (preferably Azure and Databricks). Experience with data quality management , monitoring, and ensuring robust pipelines. Knowledge of Predictive Maintenance model development is a strong plus. What Youll Gain Opportunity to work at the forefront of data-driven innovation in a global organization. Collaborate with a talented and diverse team to design and implement cutting-edge solutions. Expand your expertise in data engineering and machine learning in a real-world industrial setting. If you are passionate about leveraging data and machine learning to drive innovation, wed love to hear from you!

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Business Consulting QAS- Quantitative Trading Book (QTB) Profile: Quant Analyst/ Consultant/ Manager EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services leveraging deep industry experience with strong functional capability and product knowledge. FSO practice offers integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include market, credit, and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. Within EY's FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions to help FSO clients identify, measure, manage, and monitor market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management, and other capital markets activities. The Market Risk (MR) team within FSRM assists clients in designing and implementing strategic and functional changes across risk management, treasury, front office, middle office, and back office activities with a focus on risk and valuation processes, regulatory compliance, analytics, strategy, and organizational structure. Your key responsibilities include demonstrating deep technical capabilities and industry knowledge of financial products, leading components of large-scale client engagements, understanding market trends and demands in the financial services sector, monitoring progress, managing risk, and effectively communicating with key stakeholders, and playing an active role in mentoring junior consultants within the organization. To qualify for the role, you should have an Undergraduate (4-year degree) or Masters (Computational Finance, Mathematics, Engineering, Statistics, or Physics preferred) or Ph.D. in quantitative topics with at least 2-10 years of relevant experience. Additionally, you should have working knowledge or academic experience of statistical and numerical techniques, knowledge of mathematical concepts related to pricing derivatives for various asset classes, strong risk management/model development/validation knowledge, good hands-on experience in model development/validation/monitoring/audit procedures, knowledge of mathematical concepts like Stochastic Calculus, Differential and Integral calculus, strong coding skills in programming languages like Python and R, excellent communication and strong problem-solving skills, project management experience, and report writing experience. Good-to-have qualifications include certifications such as FRM, CQF, CFA, PRM, regulatory knowledge/experience in areas such as Basel, CCAR, and FRTB, ETRM/CTRM systems experience, pricing/risk management system knowledge/experience, willingness to travel to meet client needs, experience in stakeholder and client management, and contributing to people initiatives. EY offers a competitive compensation package, a collaborative environment, excellent training and development prospects, an excellent team of senior colleagues, and opportunities to contribute to developing intellectual capital to support delivering superior outcomes for clients and the firm. EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. MRGR is a global team of modeling experts within the firm s Risk Management and Compliance organization. The team is responsible for conducting independent model validation and model governance activities to help identify, measure, and mitigate Model Risk in the firm. The objective is to ensure that models are fit for purpose, used appropriately within the business context for which have been approved, and that model users are aware of the model limitations and how they could impact business decisions. Being part of the MRGR team will put you at the center of the firm s model validation and governance activities with exposure to a wide variety of model types and cutting edge modeling techniques, while frequently interacting with the best and brightest in the firm. You will expand your knowledge of the different forecasting models used in the firm, their unique limitations, and use that knowledge to help shape business strategy and protect the firm. This role will perform the following model risk management activities Set standards for robust model development practices and enhance them as needed to meet evolving industry standards Evaluate adherence to development standards including soundness of model design, reasonableness of assumptions, reliability of inputs, completeness of testing, correctness of implementation, and suitability of performance metrics Identify weaknesses, limitations, and emerging risks through independent testing, building of benchmark models, and ongoing monitoring activities Communicate risk assessments and findings to stakeholders, and document in high quality technical reports Assist the firm in maintaining (i) appropriateness of ongoing model usage, and (ii) the level of aggregate model risk within risk appetite Minimum Skills, Experience and Qualifications We are looking for someone excited to join our organization. If you meet the minimum requirements below, you are encouraged to apply to be considered for this role. Master s degree in a quantitative field such as Math, Physics, Engineering, Statistics, Economics or Finance is required 0 2 years of experience in a quantitative or modeling role. Deep understanding of statistical/econometric models such as linear, logistics and time series models, is required Proficiency in Python, R, or equivalent Knowledge in financial market is preferred Strong communication skills verbally and particularly in writing, with the ability to interface with other functional areas in the firm on model-related issues and write high quality technical reports Experience with large data sets is preferred Additional Skills, Experience and Qualifications The following additional items will be considered but are not required for this role Prior experience in mortgage or CRE risk model development or validation is a plus Prior experience in financial products/markets and regulatory stress testing (CCAR/ICAAP) is a plus As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. MRGR is a global team of modeling experts within the firm s Risk Management and Compliance organization. The team is responsible for conducting independent model validation and model governance activities to help identify, measure, and mitigate Model Risk in the firm. The objective is to ensure that models are fit for purpose, used appropriately within the business context for which have been approved, and that model users are aware of the model limitations and how they could impact business decisions. Being part of the MRGR team will put you at the center of the firm s model validation and governance activities with exposure to a wide variety of model types and cutting edge modeling techniques, while frequently interacting with the best and brightest in the firm. You will expand your knowledge of the different forecasting models used in the firm, their unique limitations, and use that knowledge to help shape business strategy and protect the firm. This role will perform the following model risk management activities Set standards for robust model development practices and enhance them as needed to meet evolving industry standards Evaluate adherence to development standards including soundness of model design, reasonableness of assumptions, reliability of inputs, completeness of testing, correctness of implementation, and suitability of performance metrics Identify weaknesses, limitations, and emerging risks through independent testing, building of benchmark models, and ongoing monitoring activities Communicate risk assessments and findings to stakeholders, and document in high quality technical reports Assist the firm in maintaining (i) appropriateness of ongoing model usage, and (ii) the level of aggregate model risk within risk appetite Minimum Skills, Experience and Qualifications We are looking for someone excited to join our organization. If you meet the minimum requirements below, you are encouraged to apply to be considered for this role. Master s degree in a quantitative field such as Math, Physics, Engineering, Statistics, Economics or Finance is required 0 2 years of experience in a quantitative or modeling role. Deep understanding of statistical/econometric models such as linear, logistics and time series models, is required Proficiency in Python, R, or equivalent Knowledge in financial market is preferred Strong communication skills verbally and particularly in writing, with the ability to interface with other functional areas in the firm on model-related issues and write high quality technical reports Experience with large data sets is preferred Additional Skills, Experience and Qualifications The following additional items will be considered but are not required for this role Prior experience in mortgage or CRE risk model development or validation is a plus Prior experience in financial products/markets and regulatory stress testing (CCAR/ICAAP) is a plus

About The Role : Job Title- Name List Screening and Transaction Screening Model Strats, AS Location- Bangalore, India Role Description Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Banks business and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank. You will work within the Global Strategic Analytics Team as part of a global model strategy and deployment of Name List Screening and Transaction Screening. To be successful in that role, you will be familiar with the most recent data science methodologies and have a delivery-centric attitude, strong analytical skills, and a detail-oriented approach to breaking down complex matters into more understandable details. The purpose of Name List Screening and Transaction Screening is to identify and investigate unusual customer names and transactions and behavior, to understand if that activity is considered suspicious from a financial crime perspective, and to report that activity to the government. You will be responsible for helping to implement and maintain the models for Name List Screening and Transaction Screening to ensure that all relevant criminal risks, typologies, products, and services are properly monitored. We are looking for a high-performing Associate in financial crime model development, tuning, and analytics to support the global strategy for screening systems across Name List Screening (NLS) and Transaction Screening (TS). This role offers the opportunity to work on key model initiatives within a cross-regional team and contribute directly to the banks risk mitigation efforts against financial crime. You will support model tuning and development efforts, support regulatory deliverables, and help collaborate with cross-functional teams including Compliance, Data Engineering, and Technology. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Support the design and implementation of the model framework for name and transaction screening including coverage, data, model development and optimisation. Support key data initiatives, including but not limited to, data lineage, data quality controls, and data quality issues management. Document model logic and liaise with Compliance and Model Risk Management teams to ensure screening systems and scenarios adhere to all model governance standards Participate in research projects on innovative solutions to make detection models more pro-active Assist in model testing, calibration and performance monitoring. Ensure detailed metrics & reporting are developed to provide transparency and maintain effectiveness of name and transaction screening models. Support all examinations and reviews performed by regulators, monitors, and internal audit Your skills and experience Advanced degree (Masters or PhD) in a quantitative discipline (Mathematics, Computer Science, Data Science, Physics or Statistics) 13 years experience in data analytics or model development (internships included). Proficiency in designing, implementing (python, spark, cloud environments) and deploying quantitative models in a large financial institution, preferably in Front Office. Hands-on approach needed. Experience utilizing Machine Learning and Artificial Intelligence Experience with data and the ability to clearly articulate data requirements as they relate to NLS and TS, including comprehensiveness, quality, accuracy and integrity Knowledge of the banks products and services, including those related to corporate banking, investment banking, private banking, and asset management How well support you 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 Title- Name and Transaction Screening Model Strats, AVP Location- Bangalore, India Role Description Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Banks business and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank. You will work within the Global Strategic Analytics Team and lead a team of 5 Associates to support a global model strategy and deployment of Name & Transaction Screening. To be successful in that role, you will be familiar with the most recent data science methodologies and have a delivery-centric attitude, strong analytical skills, and a detail-oriented approach to breaking down complex matters into more understandable details. You will work in a collaborative global team and focus on people development and career growth. The purpose of Name & Transaction Screening is to identify and investigate clients and customer transactions that come into scope per sanctions screening requirements, to understand if that activity is considered suspicious from a financial crime perspective, and to report that activity to the government. Reporting to the Name & Transaction Screening Lead within Trader and Client Control Strats, you will be responsible for implementing and maintaining the models for Name & Transaction Screening. You will help ensure that all relevant criminal risks, typologies, products, and services are properly monitored. We are looking for a high-performing Assistant Vice President with 5+ years of experience in financial crime model development, tuning, and analytics to support the global strategy for screening systems across Name Screening (NLS) & Transaction Screening (TS). This role offers the opportunity to drive key model initiatives within a cross-regional team and contribute directly to the banks risk mitigation efforts against financial crime. You will drive model tuning and development efforts, support regulatory deliverables, and collaborate with cross-functional teams including Compliance, Data Engineering, and Technology. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Model Development & Tuning Manage a team of 5 Associates to support the design and calibration of models for NLS and TS systems, ensuring optimal detection quality and manageable alert volumes. Support data exploration, feature engineering, and statistical analysis to inform tuning strategies. Document model logic, decisions, and outcomes in line with governance and validation standards. Project Engagement Contribute to specific model projects, from requirements gathering through to development, testing, and implementation. Coordinate small teams or working groups for agile delivery, working with developers, QA, and operations stakeholders. Performance Monitoring & Validation Support Monitor model performance metrics and investigate anomalies in production environments. Partner with model validation and internal audit to respond to queries and provide supporting analysis. Stakeholder Engagement Liaise with regional Compliance teams and operational users to gather feedback on model effectiveness. Contribute to presentations and technical reports for governance forums and senior stakeholders. Process Improvement Contribute to continuous improvement of the model development framework and documentation standards. Proactively identify opportunities for automation, efficiency, or application of advanced analytics. Your skills and experience Experience: 5+ years in model development, risk analytics, or quantitative compliance, preferably within financial crime or sanctions screening. Familiarity with financial crime systems (e.g., Actimize, Fircosoft, or equivalent platforms) and regulatory frameworks (e.g., AMLD, OFAC, FCA guidance). Technical Skills: Recent and relevant hands-on experience in SQL, Python for data analysis and model development. Strong Excel and data visualization skills; experience using Power BI or Tableau is a plus. Understanding of statistical techniques such as threshold optimization, precision/recall, ROC curves. Soft Skills: Strong analytical and problem-solving abilities. Ability to communicate complex technical content to non-technical stakeholders. Highly organized, with strong attention to detail and documentation quality. How well support you 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 : In Scope of Position based Promotions (INTERNAL only) Job TitleSenior Analyst, MoRM (DIPL) 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; Effectively managing and mitigating Model Risks; Supporting the design of Model Risk metrics; Implementing a strong Model Risk Management and governance framework; Supporting bank-wide Model Risk-related policies and practices. 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 well offer you : 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities The core responsibility will be to validate Stress testing models used within the larger CCAR PPNR umbrella for DB USA. Its important and incumbent to have an understanding of different aspects of banks business within different business segments of Corporate Banking, Private Banking, Investment banking. 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 2-3 years of professional experience in model development/ validation or related areas. Previous experience in stress testing (DFAST/CCAR/ICAAP) would be a plus. The candidate should possess knowledge and experience in working with B/PPNR models across various lines of business, including Corporate Banking, Private Banking, Investment Banking, and Treasury Functions. Ability to analyse and understand financial statements (Balance sheet, Income statement) will be advantageous. Experience and knowledge of Statistical techniques, strong analytical skills with experience in relevant software packages, e.g., R and Python Candidate needs to have experience of report drafting reports and should be able to independently compile model validation reports, follow-through on mitigation of validation findings, and documentation thereof. 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. Candidates having experience / strong knowledge in Business Intelligence tools like Power BI, Tableau, Automation through MS-Access / VBA, supporting framework development, designing presentations will be a plus for the role. How well support you . . .

Proficiency in machine learning, AI, and statistical modeling techniques, with a strong track record of developing and deploying successful predictive models in a business setting. Strong proficiency in Python and SQL and experience with data science libraries and tools such as: Spark, scikit-learn, XGBoost, LightGBM etc. Proficiency in Neural Networks is an added advantage. Familiarity with standard software engineering practices and tools including object-oriented programming, test-driven development, CI/CD, git, task orchestration (Airflow) and AWS tooling. Strong understanding of credit risk management, lending practices, and regulatory requirements within the financial industry. Good communication and presentation skills.

Project Role : LLM Model Developer Project Role Description : Fine-tunes Large Language Models with emphasis on instruction fine-tuning and domain adaptation to enhance model relevance and performance in specific contexts. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a LLM Model Developer, you will engage in the intricate process of fine-tuning Large Language Models, focusing on instruction fine-tuning and domain adaptation. Your typical day will involve collaborating with cross-functional teams to enhance model relevance and performance in specific contexts, ensuring that the models meet the diverse needs of various applications. You will analyze model outputs, iterate on training processes, and implement strategies to optimize performance, all while maintaining a keen awareness of the latest advancements in the field of artificial intelligence and machine learning. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Develop and implement innovative strategies for model fine-tuning and adaptation.- Mentor junior team members to enhance their skills and knowledge in model development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with natural language processing frameworks.- Strong understanding of machine learning principles and practices.- Familiarity with data preprocessing techniques specific to language models.- Experience in evaluating model performance using various metrics. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based in Chennai.- A 15 years full time education is required. Qualification 15 years full time education

Job Description Job Overview: We are seeking an experienced Lead Model Developer with exceptional expertise in credit risk modeling, especially the wholesale portfolio (banks, corporate, specialized lending, real estate, non-banking). The ideal candidate will bring deep domain knowledge and advanced technical skills to drive sophisticated credit risk modeling initiatives across wholesale portfolios. Position Details: Location: Bangalore, India Experience Level: 3 to 8 years Employment Type: Full-time Key Responsibilities: Lead end-to-end development of advanced credit risk models, including PD, EAD, LGD models compliant to IRB Standards Conduct comprehensive data preparation, preprocessing using tools including SAS, Python, R, and SQL Design, build, calibrate and implement robust credit risk models across wholesale portfolios with rigorous User Acceptance Testing (UAT) Collaborate with cross-functional stakeholders to analyze, interpret, and communicate complex model results and insights Develop comprehensive technical documentation including: Model documentation Business Requirements Documents (BRD) Validation reports Regulatory compliance documentation Drive continuous model improvement through: Identifying optimization opportunities; Implementing advanced modeling techniques; Enhancing model performance and predictive accuracy Provide mentorship and technical guidance to junior team members, fostering a culture of knowledge sharing and professional development Required Qualifications: 3 to 8 years of hands-on experience in credit risk model development Proven expertise in modeling across wholesale/LDP credit portfolios Advanced proficiency in: SAS, Python, R, SQL Strong knowledge of capital models (IRB approach) Exceptional analytical and problem-solving skills Excellent written and verbal communication abilities Preferred Qualifications: Advanced degree in Statistics, Mathematics, Economics, or related field Professional certifications in risk management or financial modeling Experience with machine learning and advanced statistical modeling techniques Knowledge of Basel regulatory requirements Technical Skills: Model Development: PD, LGD, EAD Programming: SAS, Python, R, SQL Regulatory Knowledge: IRB (must) Data Preprocessing / Statistical Modeling / Machine Learning Techniques

Working at AxionConnect offers you more than just a job - it's a chance to grow, learn, and thrive in a supportive and inspiring environment. We prioritize the well-being and development of our employees by providing a range of benefits and resources to enhance both their professional and personal lives. From training and mentorship programs to flexible work arrangements and employee engagement initiatives, we are dedicated to ensuring that you have the necessary tools and support to succeed. At AxionConnect, reputation and industry leadership are key. As a prominent ITES brand, we have built a strong reputation for delivering innovative solutions to our clients. With a proven track record of success, we have become a trusted partner in the industry, collaborating with leading organizations across various sectors. Our culture at AxionConnect is one of excellence. We encourage our employees to push boundaries, think creatively, and continuously strive for improvement. By investing in the latest technologies and providing a conducive work environment, we empower our team members to excel in their respective roles. We believe that collaboration and inclusivity drive innovation at AxionConnect. Open communication, teamwork, and knowledge sharing are encouraged, creating an environment where diverse perspectives are valued and embraced. Our inclusive culture enables our employees to thrive and achieve their full potential. Career growth opportunities are abundant at AxionConnect. We are committed to the professional growth and development of our employees by providing ongoing training, mentorship, and advancement opportunities. This allows individuals to expand their skill sets, take on new challenges, and progress in their careers within our organization. If you are passionate about innovation, collaboration, and making a difference, we invite you to join our community at AxionConnect. We are always seeking talented individuals who are driven to excel and thrive in a dynamic and fast-paced environment. Together, we can create meaningful solutions and shape the future of the ITES industry. Ready to take the next step in your career with us Explore the exciting opportunity below: Tech Job: Sr Data Scientist Are you a skilled Data Scientist with expertise in statistical modeling (SAS EG/EMiner, Python), particularly within banking/insurance Join us at AxionConnect to contribute to model development, deployment, and predictive frameworks, leveraging your proficiency in credit risk modeling and machine learning. Turn data into actionable insights in a dynamic, client-centric atmosphere. Key Requirements: - Experience with statistical modeling language - SAS EG/EMiner Python - Knowledge of Analytical applications in the banking/insurance industry - Model development and validation knowledge - Design, development, and deployment of Predictive models and frameworks - Experience with modeling techniques such as Credit Risk Modelling and classification techniques - Passion for data, structured or unstructured - Hands-on experience with Python - Sound experience in data mining, data analysis, and machine learning techniques - Excellent critical thinking, verbal, and written communication skills - Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment - Good presentation skills If you meet these requirements and are ready to take on new challenges, we encourage you to apply and be part of our exceptional team at AxionConnect.,

As a Trade Enabler in the Workflow Solutions team at Deutsche Bank, you will be a part of a dedicated team responsible for providing front-to-back FX solutions to clients globally. The Workflow Solutions team offers a fully integrated global product platform with exceptional solutioning capabilities. At DB Centre in Mumbai, you will be part of a team focused on Platform Management, Analytics, Sales & Trading Enablement, and Risk Management Support across client flows worldwide. In this role, you will need to follow a global approach for trade support and platform monitoring capability, ensuring the proper functioning of system orders, hedging, and client trade capture infrastructure. You will be responsible for initiating non-automated tasks, monitoring risks, providing trade-related client support, identifying workflow breaks, and suggesting solutions or escalating issues when necessary. Additionally, you will be involved in developing models and trade ideas for client presentations, driving projects, and collaborating with various teams for system enhancements and changes in the trade life cycle. To excel in this role, you should have the ability to make decisions, influence others positively, and work cooperatively to resolve conflicts. Strong communication and interpersonal skills are essential, along with experience in Markets, Banking, or trading support. Team Building and Management experience would be advantageous. A proactive and innovative mindset, along with a professional attitude, will be key in taking on additional responsibilities. As part of our team, you will benefit from a flexible scheme that includes industry-relevant certifications and education sponsorships, comprehensive insurance coverage, employee assistance programs, and a range of other benefits. You will receive training, coaching, and support to enhance your skills and career progression in a culture of continuous learning and collaboration. At Deutsche Bank, we strive to excel together every day in an environment that promotes responsibility, commercial thinking, initiative, and collaboration. We celebrate the successes of our people and foster a positive, fair, and inclusive work environment. Join us at Deutsche Bank Group and be part of a team dedicated to empowering excellence and driving success.,

As a Senior Specialist in Software Development (Artificial Intelligence) at Accelya, you will lead the design, development, and implementation of AI and machine learning solutions to tackle complex business challenges. Your expertise in AI algorithms, model development, and software engineering best practices will be crucial in working with cross-functional teams to deliver intelligent systems that optimize business operations and decision-making. Your responsibilities will include designing and developing AI-driven applications and platforms using machine learning, deep learning, and NLP techniques. You will lead the implementation of advanced algorithms for supervised and unsupervised learning, reinforcement learning, and computer vision. Additionally, you will develop scalable AI models, integrate them into software applications, and build APIs and microservices for deployment in cloud environments or on-premise systems. Collaboration with data scientists and data engineers will be essential in gathering, preprocessing, and analyzing large datasets. You will also implement feature engineering techniques to enhance the accuracy and performance of machine learning models. Regular evaluation of AI models using performance metrics and fine-tuning them for optimal accuracy will be part of your role. Furthermore, you will collaborate with business stakeholders to identify AI adoption opportunities, provide technical leadership and mentorship to junior team members, and stay updated with the latest AI trends and research to introduce innovative techniques to the team. Ensuring ethical compliance, security, and continuous improvement of AI systems will also be key aspects of your role. You should hold a Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field, along with at least 5 years of experience in software development focusing on AI and machine learning. Proficiency in AI frameworks and libraries, programming languages such as Python, R, or Java, and cloud platforms for deploying AI models is required. Familiarity with Agile methodologies, data structures, and databases is essential. Preferred qualifications include a Master's or PhD in Artificial Intelligence or Machine Learning, experience with NLP techniques and computer vision technologies, and certifications in AI/ML or cloud platforms. Accelya is looking for individuals who are passionate about shaping the future of the air transport industry through innovative AI solutions. If you are ready to contribute your expertise and drive continuous improvement in AI systems, this role offers you the opportunity to make a significant impact in the industry.,