217 Model Development Jobs - Page 3

Senior Software Engineer PowerScale, a Gartner Magic Quadrant leader in Unstructured Data Storage and Management is evolving by re-architecting its stack to cater to the unique demands of the consumer market in the GenAI era. The evolution is driven by efforts to modernize the stack through the development of advanced technologies in data storage systems, cluster management, distributed systems and container management. The modernization initiative will empower PowerScale to provide a composable, disaggregated, software-defined architecture with the capacity to store exabytes of data and deliver unparalleled performance. Join us to do the best work of your career and make a profound social impact as a Senior Software Engineer on our Software Engineering Team in Bangalore. As a Software Senior Engineer, you will be part of scrum team, which is focused on developing core software for our PowerScale systems / Dell Storage system which supports big data. You will be responsible for developing sophisticated systems and software basis the customer s business goals, needs and general business environment creating software solutions. You will: Contribute to the design and architecture of high-quality, complex systems and software/storage environments Prepare, review and evaluate software/storage specifications for products and systems Contribute to the development and implementation of test strategies for complex software products and systems/for storage products and systems Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here s what we are looking for with this role: Essential Requirements 5-8 years experience in C/C++ Programming, Data Structures and parallel programming Experience developing software for Unix/Linux/BSD operating systems at a User space level Experience developing within large scale distributed systems with working experience in storage networking protocols and architectures Experience working in Agile Scrum model development cycle Excellent interpersonal skills and ability to work collaboratively in a team environment and to effectively communicate complex technical concepts. Desirable Requirement Bachelor s or master s degree in computer science or related field. Strong problem-solving and analytical skills. Application closing date: 30 July 2025 "#NJP"

JIDOKA SYSTEMS PRIVATE LIMITED is looking for Data Science Engineers to join our dynamic team and embark on a rewarding career journey Data Exploration and Preparation:Explore and analyze large datasets to understand patterns and trends Prepare and clean datasets for analysis and model development Feature Engineering:Engineer features from raw data to enhance the performance of machine learning models Collaborate with data scientists to identify relevant features for model training Model Development:Design and implement machine learning models to solve business problems Work on both traditional statistical models and modern machine learning algorithms Scalable Data Pipelines:Develop scalable and efficient data pipelines for processing and transforming data Utilize technologies like Apache Spark for large-scale data processing Model Deployment:Deploy machine learning models into production environments Collaborate with DevOps teams to integrate models into existing systems Performance Optimization:Optimize the performance of data pipelines and machine learning models Fine-tune models for accuracy, efficiency, and scalability Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders Communicate technical concepts and findings to non-technical audiences Continuous Learning:Stay current with advancements in data science and engineering Implement new technologies and methodologies to improve data engineering processes

Overview Experience: 10 + Years Shift: 2-11 pm Location : Hyderabad /Bangalore /Chennai About Omnicom Global Solutions Omnicom Global Solutions is an integral part of Omnicom Group, a leading global marketing and corporate communications company. Omnicom’s branded networks and numerous specialty firms provide advertising, strategic media planning and buying, digital and interactive marketing, direct and promotional marketing, public relations, and other specialty communications services to over 5,000 clients in more than 70 countries. Omnicom Global Solutions India plays a key role for our group companies and global agencies by providing stellar products, solutions, and services in the areas of Creative Services, Technology, Marketing Science (Data & Analytics), Advanced Analytics, Market Research, Business Support Services, Media Services, and Project Management. Responsibilities Client & Agency Service: We are seeking an experienced Data Analytics Manager with 10+ years of proven management and leadership experience. The ideal candidate will have strong Data Analytics skills and the ability to manage a growing team. This role involves overseeing projects through all stages of the project lifecycle, including initiation, scoping, planning, execution, and execution. This role will work closely with the project management team onshore to ensure that both onshore and offshore teams are aligned on weekly deliverables. Responsibilities: Leadership & Team Management Lead projects, manage people, and deliver results to business leads Focus on mastering team management and progressing into firm leadership Provide project oversight and strategic direction Collaborate with all employee levels to deliver meaningful work Manage a team of data analysts and assisting with unlocking their potential and shaping their growth Data Analytics & Strategy Translate business problems into analytical frameworks and models Develop and maintain data models, reporting systems, dashboards, and automation tools to support business decisions Implement quality control measures to ensure data integrity, consistency, and reliability. Guide the team in performing statistical analysis, predictive modeling, and business intelligence reporting. Design and implement technical processes for data intake, validation, mining, and engineering Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources Oversee the creation and delivery of reports, insights, and key performance metrics for business functions You will be working closely with: Global Finance Leaders / members of agency Finance Team and will have responsibilities to achieve group goals with respect to Reporting, Planning, Forecasting, Working Capital, and accounting support. Qualifications This may be the right role for you if you have. Requirements: Bachelor’s degree. Total 10+ overall years of experience in relevant field. 3+ years of management experience 8+ years of data analytics experience Proactive communicator and problem solver with strong attention to detail. Strong understanding of data confidentiality. Familiarity with Excel, PowerQuery, Alteryx Proven ability to influence cross-functional teams without direct authority. Ability to manage multiple high-priority projects simultaneously.

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 Development of PD (Application & Behavioral Scorecard), LGD and EAD Retail Models Developing Rating Models for Corporate banking portfolios Stress Testing Models Develop models like Collection, Propensity, Maturity, Pricing, etc. Advanced Analytics Solution (Machine Learning, Digital Lending etc.) Development of acquisition fraud scorecard Loss Forecasting Developing Rating Models for Corporate banking portfolios Developing/Reviewing ICAAP & RAROC Models Preferred candidate profile

Independently validate credit risk models (PD, LGD, EAD, Scorecards, IFRS 9/CECL, Basel) to ensure accuracy, robustness, and regulatory compliance. Assess model assumptions, methodologies, and performance metrics (AUC, KS, PSI, backtesting). Review model documentation and challenge conceptual soundness per Basel, SR 11-7, IFRS 9, and CCAR guidelines. Role & responsibilities Preferred candidate profile looking for immediate joiners only

Senior Software Engineer PowerScale, a Gartner Magic Quadrant leader in Unstructured Data Storage and Management is evolving by re-architecting its stack to cater to the unique demands of the consumer market in the GenAI era. The evolution is driven by efforts to modernize the stack through the development of advanced technologies in data storage systems, cluster management, distributed systems and container management. The modernization initiative will empower PowerScale to provide a composable, disaggregated, software-defined architecture with the capacity to store exabytes of data and deliver unparalleled performance. Join us as a Software Senior Engineer on our Engineering Development team in Pune , India or Bangalore, India to do the best work of your career and make a profound social impact. As a Software Senior Engineer, you will be part of scrum team, which is focused on developing core software for our PowerScale systems / Dell Storage system which supports big data. You will be responsible for developing sophisticated systems and software basis the customer s business goals, needs and general business environment creating software solutions. You will: Contribute to the design and architecture of high-quality, complex systems and software/storage environments Prepare, review and evaluate software/storage specifications for products and systems Contribute to the development and implementation of test strategies for complex software products and systems/for storage products and systems Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here s what we are looking for with this role: Essential Requirements 5-8 years experience in C/C++ Programming, Data Structures and parallel programming Experience developing software for Unix/Linux/BSD operating systems at a User space level Experience developing within large scale distributed systems with working experience in storage networking protocols and architectures Experience working in Agile Scrum model development cycle Excellent interpersonal skills and ability to work collaboratively in a team environment and to effectively communicate complex technical concepts. Desirable Requirements Bachelor s or master s degree in computer science or related field. Strong problem-solving and analytical skills.

About this role: Wells Fargo is seeking a Principal Engineer to drive the design, development, and implementation of Artificial Intelligence (AI) enabled applications aligned to employee-facing lines of business in Enterprise Functions Technology (EFT). The EFT AI team will focus on building intelligent, efficient, and user-centric tools to accelerate the work of users in Finance, Human Resources, Risk, Audit, Legal, Public Affairs, Diverse Segments and EFT Platform Technology. In addition to hands-on development, this role will play a key part in evolving the AI operating model for both horizontal (cross product/platform) and vertical support (product specific). As a key technical contributor, you will collaborate with cross-functional teams to align solutions with the mission of transforming the Wells Fargo employee experience. This role will be a key contributor to shaping AI infrastructure, governance, and automation frameworks, working closely with cross-functional partners in technology, product management, and operations. The horizontal focus of this role will support AI platform scalability, reliability and AI governance, ensuring alignment across EFT, while the vertical focus will support specific applications and their integration within business domains. The successful candidate will have a deep expertise in AI engineering, cloud-based AI deployment, and AI model lifecycle management, along with experience in architecting AI solutions that align with responsible principles and enterprise business objectives. This is a unique opportunity to lead AI engineering efforts while shaping the AI operating model. In this role, you will: Design, develop and optimize Gen AI applications using agentic frameworks and tools Accelerate end to end solution delivery timelines by developing automated data, prompting and evaluation pipelines Streamline the enablement of AI solutions by building solution blueprints, re-usable patterns and identifying process improvements Lead AI engineering efforts that drive the design, development, scalability, and evolution of AI-powered products, ensuring AI adoption. Research and guide engineering efforts to solve complex engineering challenges and balance accuracy, latency and cost Evolve the AI operating model, ensuring seamless integration of AI solutions into business domains while providing horizontal AI governance and infrastructure support. Develop automated AI model monitoring frameworks, enabling continuous model updates, explainability, and performance tracking. Develop and scale AI platforms leveraging Large Language Model (LLM) services, real time analytics, AI automation, and intelligent decision-making. Act as an advisor and collaborate with leadership to integrate AI into existing enterprise systems and cloud platforms to implement innovative and significant business solutions. Drive cross-functional collaboration to define AI roadmaps, infrastructure strategies, and product enhancements, ensuring AI capabilities align with business AI strategies. Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that require vision, creativity, innovation, and advanced analytical and thinking. Maintain knowledge of industry best practices and new technologies and recommend innovations that enhance operations or provide a competitive advantage to the organization. Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership. Responsible for meticulous governance to address the unique risks posed by GenAI. Required Qualifications: 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 7+ years of engineering experience building and supporting large scale customer facing products using modern technologies 3+ years building and delivering products using AI technologies. Desired Qualifications: Strong expertise in AI model development and deployment with a strong background in LLMs, generative AI, and AI-engineering. Deep experience with generative AI models, including model prompting, tuning, and safety best practices. Expertise in solution architecture and applying modular design techniques to agentic workflows Solid grasp of data and error analysis, identifying issues and patterns throughout the AI pipeline Strong expertise in test or eval driven development, ensuring robust and scalable AI software. Experience in backend application software development, with ability to quickly adapt to C#, and Python code bases. Strong understanding of Retrieval-Augmented Generation (RAG), knowledge graphs and agentic workflows. Deep knowledge of AI infrastructure, Generative AI Operations, and enterprise-scale AI adoption strategies. Familiarity with enterprise-scale software systems and their integration within large organizations. Passion for building AI solutions that deliver a seamless, end-user-focused experience. Experience in enterprise AI model lifecycle management, AI compliance, and risk mitigation strategies. Strong understanding of human centered AI design for workplace applications. Excellent collaboration, communication, and problem-solving skills. Job Expectations: Lead projects, teams, and serve as a peer mentor. Be Humble: You're smart yet always interested in learning from others Work Transparently: You always deal in an honest, direct, and transparent way. Take Ownership: You embrace responsibility and find joy in having the answers Learn More: You regularly self-educate and improve your skill set. Show Gratitude: You show appreciation and respect to those you work with.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way, The Community You Will Join Everyone at Airbnb thinks about trust, but our team obsesses over it daily The Trust Engineering organization is responsible for protecting our community and platform from fraud and abuse while also ensuring our hosts, guests, homes, and experiences meet our high standards This includes both foundational systems that power detection and enforcement at scale?such as rules engines, risk services, and friction frameworks?as well as applied solutions that address evolving threats like account compromise, payment fraud, fake content, and offline harm, Trust engineers work across a diverse landscape of systems and problem spaces, partnering closely with product, data science, and operations teams Whether building real-time infrastructure, onboarding and screening flows, or scalable tools for trust agents, the mission remains the same: to make Airbnb the most trusted community in the world, The Difference You Will Make As part of the Trust Engineering team, you will be in charge of designing large-scale systems to detect and mitigate fraud, abuse, and safety risks across our platform You will be deeply involved in building highly available and real-time risk detection services in close collaboration with product, data science, and operations teams to understand ever-evolving attack vectors Youll also work closely with other Trust engineers?whether focused on defense or platform?to build tools and frameworks that make our defenses more adaptive, efficient, and resilient, There are still many unsolved problems in both online and offline trust, and we're looking for talented engineers to solve these challenges with us and help shape the future of trust at Airbnb, A Typical Day Your Contributions May Take a Variety Of Forms, Including Designing, implementing, and operating resilient and scalable distributed systems, Collaborating with cross-functional partners?including software engineers, product managers, data scientists, and operations teams?to understand business impact, define requirements, and drive engineering decisions, Building and evolving platform capabilities to address the ever-changing landscape of fraud, abuse, and safety risks across Airbnb, Partnering with teams across Trust, Payments, and Community Support to identify and implement system improvements that increase the reliability, scalability, and efficiency of our defenses, Contributing critical input to the Trust Engineering roadmap and long-term technical direction, Developing, productionizing, and operating machine learning models and pipelines at scale, for both batch and real-time use cases, Mentoring other engineers and helping them grow their technical and collaboration skills, Advocating for and contributing to improvements in Airbnbs engineering processes and foundational systems, Your Expertise 9+ years of industry engineering experience, BS/MS/PhD in Computer Science, a related field, or equivalent work experience Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills Hands on experience leading project teams and setting technical direction, Exposure to architectural patterns of a large, high-scale software applications (e-g , well-designed APIs, high volume data pipelines, efficient algorithms, models) Experience with test driven development, familiar with A/B testing, incremental delivery and deployment, Experience with platform architecture patterns and best practices Experience with building and leading infrastructure is a plus, Experience with the Trust and Risk domain is a plus, Experience with hands on machine learning model development is a plus,

A Snapshot of Your Day As a Grid Engineer at Siemens Energy in Bangalore, your day will be filled with exciting challenges and opportunities You will collaborate closely with a distributed team of experts to develop and optimize electrical simulation models Balancing pioneering thinking and rigorous analysis, you'll ensure our wind turbine systems integrate seamlessly with diverse grid environments Every single day will bring new learning experiences as you work on ground-breaking projects that contribute to our mission of crafting balanced energy solutions, How Youll Make an Impact Craft and develop electrical simulation models using tools such as Matlab/Simulink, Dig Silent PF, PSCAD, and PSS/E, Conduct various simulation studies focusing on Transient stability and harmonic studies, Parametrize wind turbine simulation models and maintain an up-to-date parameter database, Benchmark and validate developed simulation models to ensure flawless performance, Implement new wind turbine functions and features into our simulation model platform, Analyze and investigate wind turbine functions in relation to connected grid systems to ensure seamless integration, What You Bring A degree in Electrical Engineering with a minimum of 3-6years of experience in electrical simulation model development, Proven experience with simulation tools such as Matlab/Simulink, Dig Silent PF(minimum 2 years mandatory), PSCAD, and PSS/E, Strong skills in conducting simulation studies, particularly in Transient stability and harmonic studies, A collaborative approach and the ability to thrive in a multicultural team environment, Outstanding analytical skills and attention to detail, Proficiency in spoken and written English, enabling clear and effective communication, About The Team Our team in Bangalore is a key player in the global engineering landscape of Siemens Gamesa We work on a diverse portfolio of product development projects that span across onshore and offshore wind turbines The team is a vibrant mix of experienced engineers and new talent, all driven by a shared passion for innovation and excellence Together, we push the boundaries of what is possible, striving for world-class solutions that drive our mission forward, Who is Siemens Gamesa Siemens Gamesa, under Siemens Energy, innovates energy tech for balanced, reliable, affordable solutions, Our Commitment to Diversity Lucky for us, we are not all the same Through diversity, we generate power We run on inclusion and our combined creative energy is fueled by multiple nationalities We celebrate character no matter what ethnic background, gender, age, religion, identity, or disability We energize society, all of society, and we do not discriminate based on our differences, Rewards/Benefits All employees are automatically covered under the Medical Insurance Company paid considerable Family floater cover covering employee, spouse and 2 dependent children up to 25 years of age, Siemens Energy provides an option to opt for Meal Card to all its employees which will be as per the terms and conditions prescribed in the company policy As a part of CTC, tax saving measure Comprehensive health and wellness benefits, Opportunities for professional development and continuous learning, Encouraging and inclusive work environment that values collaboration and innovation, Opportunity to work on brand-new technology and make a significant impact on the renewable energy industry,

About This Opportunity As a Senior Machine Learning Engineer (SMLE), will be leading efforts for AI model deployment at scale, involving edge interfacing, ML pipeline and design of supervising and alerting systems for ML models A specialist software engineer with experience building large-scale systems and enjoys optimizing systems and evolving them, What you will do: Lead analysis of ML-driven business needs and opportunities for Ericsson and strategic customers, Define model validation strategy and establish success criteria in data science terms, Architect and design data flow and machine learning model implementation for production deployment, Drive rapid development of minimum viable solutions and leverage existing and new data sources, Develop solutions using Generative AI and RAG approaches, Design near real-time streaming and batch applications, ensuring scalability and high availability, Conduct performance analysis, tuning, and apply best practices in architecture and design, Document solutions and support reviews; contribute to product roadmap and backlog governance, Manage system packaging, software versioning, and change management, Perform design and code reviews, focusing on security and functional requirements, Collaborate with product teams to integrate ML models into Ericsson offerings Advocate for new technologies within ML communities and mentor junior team members Build ML competency within Ericsson and contribute to cross-functional initiatives, You will bring: Proficient in Python with strong programming skills in C++/Scala/Java, Demonstrated expertise in implementing diverse machine learning techniques, Skilled in using ML frameworks such as PyTorch, TensorFlow, and Spark ML, Experience designing cloud solutions on platforms like AWS, utilizing services like SageMaker, EKS, Bedrock, and Generative AI models, Expertise in containerization and Kubernetes in cloud environments, Familiarity with Generative AI models, RAG pipelines, and vector embeddings Competent in big data storage and retrieval strategies, including indexing and partitioning, Experience with big data technologies like Spark, Kafka, MongoDB, and Cassandra, Skilled in API design and development for AI/ML models Proven experience writing production-grade software Competence in Codebase repository management like Git and any CI/CD pipelines, Extensive experience in model development and life-cycle-management in one or more industry/application domain Understanding and application of Security: Authentication and Authorization methods, SSL/TLS, Network Security (Firewall, NSG rules, Virtual Network, Subnet, Private Endpoint etc), Data Privacy handling and protection, Degree in Computer Science, Data Science, AI, Machine Learning, Electrical Engineering, or related fields from a reputable institution (Bachelor's, Master's, or Ph D ) 10+ years of overall industry experience with 5+ years of experience in AI/ML domain

We are looking for an experienced Data Scientist to work at one of our global biopharma customers on a range of Biostats models consulting and development engagements. They are expected to bring extensive knowledge in best practices on R package development, model development and deployment on Databricks, collaboration with version control systems, and familiarity with other topics such as data architecture and cloud infrastructure. Desired Skills and experience Candidates should have a B.E./B.Tech/MCA/MBA in Finance, Information Systems, Computer Science or a related field Strong experience in R programming and package development Proficiency with GitHub and unit testing frameworks. Strong documentation and communication skills. A background or work experience in biostatistics or a similar discipline (Preferred). Expert knowledge in Survival Analysis (Preferred) Statistical model deployment, and end-to-end MLOps is nice to have. Having worked extensively on cloud infrastructure, preferably Databricks and Azure. Shiny development is nice to have. Can work with customer stakeholders to understand business processes and workflows and can design solutions to optimize processes via streamlining and automation. DevOps experience and familiarity with software release process. Familiar with agile delivery methods. Excellent communication skills, both written and verbal Extremely strong organizational and analytical skills with strong attention to detail Strong track record of excellent results delivered to internal and external clients Able to work independently without the needs for close supervision and also collaboratively as part of cross-team efforts Experience with delivering projects within an agile environment Key responsibilities include: Evaluate and document R packages, including metadata and user-focused use cases. Develop unit tests aligned with best practices in R package development. Collaborate closely with internal stakeholders. Design and implement technical solutions for Survival Analysis, based on statistical and business requirements Develop professional quality R packages. Provide consultancy on Biostats model development and deployment best practices. Review and optimize code, integrate existing modelling code into packages. Design and implement end to end modelling and deployment process on Databricks. Support and collaborate with adjacent teams (e.g. products, IT) to integrate the modelling solution. Continually innovate with the team and the customer on using modern tooling to improve model development and deployment. Demonstrate high attention to detail, should work in a dynamic environment whilst maintaining high quality standards, a natural aptitude to develop good internal working relationships and a flexible work ethic Responsible for Quality Checks and adhering to the agreed Service Level Agreement (SLA) / Turn Around Time (TAT)

4+ years of Anaplan model building experience (Anaplan L3 or Solution Architect Certification) Strong technical background in consulting, finance, or software implementation. Expertise in building, troubleshooting complex multidimensional models. Required Candidate profile Exp in stakeholder management. Knowledge of data architecture, cross-platform integration. Exp in Anaplan FP&A Implementation. Strong Communication Skills Apply on - thak.priyanka@exponent.com.sg

Dear Greetings!!! Urgent Opening in Risk Analytics Role JOB Profile 2 - 5 years of relevant Risk Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: l Development, validation, and audit of: l Credit Risk- PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting and Revenue Forecasting Models, IFRS9/CECL Loss Forecasting Models across Retail and Commercial portfolios l Credit Acquisition/Behavior/Collections/Recovery Modeling and Strategies, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios l Regulatory Capital and Economic Capital Models l Liquidity Risk Liquidity models, stress testing models, Basel Liquidity reporting standards l Anti Money Laundering AML scenarios/alerts, Network Analysis l Operational risk – AMA modeling, operational risk reporting l Conceptual understanding of Basel/CCAR/DFAST/CECL/IFRS9 and other risk regulations l Experience in conceptualizing and creating risk reporting and dashboarding solutions. l Experience in modeling with statistical techniques such as – linear regression, logistic regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time series – ARMA/ARIMA, ML interpretability and bias algorithms etc. l Programing Languages - SAS, R, Python, Spark, Scala etc., Tools such as Tableau, QlikView, PowerBI, SAS VA etc. l Strong understanding of Risk function and ability to apply them in client discussions and project implementation. Academic Requirements: Degree in a quantitative discipline mathematics, statistics, economics, financial engineering, operations research or related field or MBA Strong academic credentials and publications, if applicable. Industry certifications such as FRM, PRM, CFA preferred. Excellent communication and interpersonal skills. Thanks & Regards Shweta Rawat AM-HR Mount Talent Consulting, an ISO 9001:2008 Company Consulting | Learning | Recruitments Delivering Operations @ India, US, APAC & EMEA Shweta.rawat@mounttalent.com| Website: www.mounttalent.com

About The Role Grade M3/M4/M5 Role Team Member - Credit Risk Analyst Department Risk Management Reporting Relationship Team Lead Credit Risk Location Mumbai Role Requirements Credit Risk Analytics and Modelling Analyse, model, validate and document various measures of Credit Risk for use in Expected Credit Loss and Capital computations. Hands-on experience in building, implementing, documenting, monitoring, validating, refining models and scorecards in particular for PD, LGD, EAD and related Credit Risk metrics - using statistical methods and / or expert judgement based techniques. In depth understanding of the techniques and functional insights that drive Credit Risk models and the experience of having used modelled output in computing Expected Credit Loss (ECL) under Ind AS, Credit Risk Capital under Internal Ratings based approaches, Economic Capital and having taken these measures through the scrutiny of auditors and regulators. This is the main requirement of the role and the individual should have a good knowledge of this function. Derive insights from data and effectively communicate these insights to Risk, Credit and Business teams. Develop Risk Dashboards and analytical reports for Senior Management. Preparing and submitting reports to the regulator and / or senior management on a periodic and adhoc basis. The job-holder will be responsible for computing and reporting ECL and related metrics on an on-going basis. Ability to work with (gather, consolidate, prepare, summarise) large data sets on a routine basis with an eye for detail and flair for numbers. Data cleansing and preparation for use in model building. Ensure reliability, integrity and consistency of reported and underlying data Pre-Requisites About 4 to 8 years of experience in a Bank, NBFC, Consulting Firm, Rating Agency in the areas of working PD, LGD, ECL, EAD. Exposure to risk reporting or financial reporting would be an advantage. Degree in statistics, mathematics or econometrics (or equivalent professional qualifications) with hands-on experience in statistical model development, implementation, validation would be an advantage. Experience and expertise in using any one or more among Python / SAS / R. Intermediate level SQL skills will be useful. Strong experience in areas like delinquency or loan loss forecasting, expected credit losses capital computation under advanced approaches. Above average to advanced excel skills Experience in projects involving automation / data consolidation in the areas of risk or financial reporting would be an advantage Skills and Knowledge CA or MBA with FRM preferred Understanding analysis of various types of credits Proven management and supervisory skills Excellent interpersonal skills, verbal/written communication skills and strong project management skills Above average to advanced excel skills Experience in working with Python, SQL or SAS would be an added advantage.

Not Applicable Specialism SAP & Summary As a Manager, youll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . Develop new skills outside of comfort zone. Act to resolve issues which prevent the team working effectively. Coach others, recognise their strengths, and encourage them to take ownership of their personal development. Analyse complex ideas or proposals and build a range of meaningful recommendations. Use multiple sources of information including broader stakeholder views to develop solutions and recommendations. Address substandard work or work that does not meet firms/clients expectations. Use data and insights to inform conclusions and support decisionmaking. Develop a point of view on key global trends, and how they impact clients. Manage a variety of viewpoints to build consensus and create positive outcomes for all parties. Simplify complex messages, highlighting and summarising key points. Uphold the firms code of ethics and business conduct. Mandatory skill sets SAP ABAP Preferred skill sets SAP ABAP Years of experience required 8 yrs+ Education qualification BE / B.Tech / MBA / MCA / M.Tech / CA / ICWA Education Degrees/Field of Study required Bachelor of Engineering, Master of Business Administration, Bachelor of Technology, Master of Engineering, Chartered Accountant Diploma Degrees/Field of Study preferred Required Skills SAP ABAP (Advanced Business Application Programming) Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Application Software, Business Model Development, Business Process Modeling, Business Systems, Coaching and Feedback, Communication, Creativity, Developing Training Materials, Embracing Change, Emerging Technologies, Emotional Regulation, Empathy, Enterprise Integration, Enterprise Software, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Innovative Design, Intellectual Curiosity, IT Infrastructure {+ 23 more} No

Creating physical system model using toolslike GT-Suite for various vehicle BEV vehicle platforms. Developing thermal, climate and varioussystem models by fetching information from 3D CAD models and creating 1Dsimulation models. Performing steady state simulation andtransient simulation based validation of developed plant models. Need to work as Individual performer andcommunicate with customer on a regular basis. DOMAIN KNOWLEDGE: Sound knowledge andexposure towards model development using GT-Suite for thermal and climatesystems (mandatory) Good experience ontools like GEM3D and CATIA on understanding CAD models. (mandatory) Good knowledge onthermal and climate system behavior (mandatory) Having knowledgetowards Hybrid, BEV and IC engine vehicles (preferrable) SKILL SET: GT-Suite, GEM3D,Plant modeling, 1D simulation, Thermal system modeling, Climate system model

Entity : - Accenture Strategy & Consulting Team : - Global Network – Data & AI Practice : - CFO & EV - Risk Analytics Title : - Ind & Func AI Decision Science Senior Manager/Manager About S&C - Global Network : - Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT’S IN IT FOR YOU? Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the world’s most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. You’ll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role Engagement Execution: Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of risk solutions for Accenture’s clients. Ability to manage workstream of small projects with responsibilities of managing quality of deliverables for junior team members. Demonstrated ability of managing day to day interactions with the Client stakeholders o Practice Enablement o Guide junior team members. o Support development of the Practice by driving innovations, initiatives. o Develop thought capital and disseminate information around current and emerging trends in Risk. Who we are looking for? 2-11+ years of relevant Risk Analytics experience at one or more Financial Services/Banking firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: Development, validation, and audit of: Credit Risk- PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting and Revenue Forecasting Models, IFRS9/CECL Loss Forecasting Models across Retail and Commercial portfolios Credit Acquisition/Behavior/Collections/Recovery Modeling and Strategies, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios Regulatory Capital and Economic Capital Models Liquidity Risk – Liquidity models, stress testing models, Basel Liquidity reporting standards o Anti Money Laundering – AML scenarios/alerts, Network Analysis o Operational risk – AMA modeling, operational risk reporting Conceptual understanding of Basel/CCAR/DFAST/CECL/IFRS9 OR other risk and compliance regulations. Experience in conceptualizing and creating risk reporting and dashboarding solutions. Experience in modeling with statistical techniques such as – linear regression, logistic regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time series – ARMA/ARIMA, ML interpretability and bias algorithms etc. Programing Languages - SAS, R, Python, Spark, Scala etc., Tools such as Tableau, QlikView, PowerBI, SAS VA etc. Strong understanding of Risk function and ability to apply them in client discussions and project implementation. Academic Requirements: Master’s degree in a quantitative discipline mathematics, statistics, economics, financial engineering, operations research or related field or MBA from top-tier universities. Strong academic credentials and publications, if applicable. Industry certifications such as FRM, PRM, CFA preferred. Excellent communication and interpersonal skills. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Job Title: Anaplan Implementation Developer Location: PAN INDIA Experience: 3+ years in Anaplan implementation Job Type: Full-time Work Mode: Hybrid Job Summary: We are looking for an experienced Anaplan Implementation Developer who will be responsible for designing, building, and deploying Anaplan models that support business planning and forecasting functions across the organization. The ideal candidate should have hands-on experience with end-to-end Anaplan implementations and strong skills in model building, data integration, and stakeholder communication. Anaplan Model Builder with Implementation experience. L1,L2 L3 certifications is good to have Key Responsibilities: Collaborate with business stakeholders to gather and analyze planning requirements. Design Anaplan models that align with business goals and translate use cases into functional models. Build and maintain Anaplan models using best practices in model structure, performance optimization, and modularity. Develop user interfaces including dashboards, modules, and reports. Integrate Anaplan with external data sources (via Anaplan Connect, APIs, or middleware tools like Informatica, MuleSoft, etc.). Provide technical guidance to users and support ongoing Anaplan enhancements. Conduct unit and system testing; assist with user acceptance testing. Ensure model security, performance tuning, and version control are in place. Train end-users and provide documentation. Required Skills & Experience: Minimum 3 years of experience in Anaplan model building and implementation. Certified Anaplan Model Builder (Solution Architect certification is a plus). Strong understanding of Connected Planning concepts. Proficient in Anaplan formulas, modules, dashboards, and UX. Experience in integrating Anaplan with upstream/downstream systems. Solid understanding of data modeling, data transformation, and automation. Ability to work in Agile environments and collaborate with cross-functional teams. Excellent communication and problem-solving skills. Preferred Qualifications: Prior experience in Finance, Supply Chain, or Sales Planning projects using Anaplan. Knowledge of Anaplan ALM (Application Lifecycle Management). Familiarity with SQL, Excel VBA, or scripting tools.

Role Summary: The Senior Data Scientist is a technical leadership role with direct accountability for the delivery of multiple projects within FMCG including the management of the analytics quality on these projects. The Senior Data Scientist collaborates closely with other Data Scientists and consultants on projects (across the FMCG client portfolio) to transform client questions and issues into analytical solutions. Key responsibilities: Accountable for the analytics quality and delivery of key FMCG projects. Transforming client questions and issues into analytical solutions, through partnering with Consultants to scope solutions and ensure projects are successfully delivering value to clients. Task management including overseeing and delegating technical tasks amongst data scientists. Team management: leading a small team of technical analysts (~1-3 direct reports). Key activities: * Accountable for the analytics quality and delivery of key FMCG projects: Delivery and build of analytical solutions, transforming transaction- or customer-level data sets into client ready strategic insights e.g. data exploration, cleansing, manipulation, extracting insights, and clear presentation via spreadsheets, PowerPoint presentations and self-service analytical visualization tools. Task management including overseeing and delegating technical tasks amongst analysts within project team, including reviewing code, analysis and outputs. Design and be accountable for solution design, analytical methodology / technique and quality assurance for analytical projects. Providing estimates of work effort, timeframes, costings and resourcing for analytical tasks. * Partnering with consultants to ensure projects are successfully delivered and providing value to clients: Convert data into meaningful, actionable recommendations for Quantium's clients. Transforming client questions and issues into analytical solutions, through project scoping and solution design. * Team management: leading a small team of Data Scientists: Directly manage all direct reports, managing on-boarding, driving their performance, supporting their development & progression and managing the formal performance review process. Provide technical guidance for direct reports and other analysts within the project team as needed / on a day-to-day basis. Support team initiatives, such as interviewing candidates, facilitating team training or knowledge sharing, or organizing events. Be a role model of Quantium's DNA and support a culture of collaboration, innovation, high-performance and fun. Experience and education required: 1. Approximately 5+ years experience in a highly technical analytics environment, carrying out data analytics or data science work. Strong coding experience in SQL. Experience in working with large datasets to solving commercial business problems (customer-level and/or sales transaction-level datasets preferred). Advanced knowledge of technical analytics discipline, including data preparation, feature engineering and foundational analytics concepts, model development and model training. 2. Well-developed commercial acumen to understand business needs and be able suggest the commercial impacts of different analytics solutions or approaches. Experience transforming client questions and issues into analytical solutions, through project scoping and solution design. Experience in FMCG/CPG or Retail industry (preferred). Experience working in consulting environment (preferred). 3. Experience in supervising the work of others as a senior team member, project manager or team leader. 4. Experience with successfully managing either internal and external stakeholders, delivering against projects, tasks and activities in a dynamic deadline driven environments. 5. Experience and interest in people management, mentoring and development. 6.Tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a related discipline. Key business capabilities required: 1. Resource Planning - Coordination of resources effectively to achieve committed client outcomes at a high level of quality. 2. Client Project Planning - Effective capture, planning and management of the series of inter-related activities involved in delivering the agreed client scope of work, including managing dependencies, making decisions on variances to the original plan and aligning stakeholders. 3. Client Project Delivery- Effective management that integrates people, systems, structures and practices across Quantium and a client organization to ensure high quality project delivery. 4. Business and Product Requirements - Ability to effectively translate business and client needs or problems into an a sustainable technical or product solution. 5. Method Evaluation - Assess the appropriateness of the solution to the original problem and the application of the method. 6. Method Selection - Choose the appropriate type of analytics or modelling to best solve the problem, given all inputs and prescribed outputs. 7. Method Design - Design the most appropriate structure for the method that best solves the problem, given inputs and prescribed outputs. 8. Insight Generation: Convert information into meaningful, actionable recommendations for Quantium's clients and partners. Key People and leadership capabilities required: 1. Self-aware - you leverage diversity across people, tasks, client interactions and projects, taking responsibility for self and other. 2. Agile and innovative - you possess strong lateral thinking skills and actively develop these in others. 3. Achieve and perform - you have exceptional execution skills and are achievement focused. 4. Brand advocate - you anticipate and consider brand and cultural impact in decision making. 5. Purposeful and aligned - you can set clear, tangible objectives which deliver against our strategy. 6. Achievement oriented - you effectively facilitate challenging performance related conversations in a timely and appropriate manner. 7. Coach - you demonstrate the ability to coach and develop others while facilitating learning, growth and engagement.

Job Title- Name List Screening and Transaction Screening Model Strats, AS 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. 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

Summary The job purpose is to lead and manage all assigned project/network activities and apply scientific/technical expertise to address complex R&D issues for the preparation and timely delivery of drug products (DP), processes and procedures; participate in teams and contribute to overall Technical Research and Development strategies and goals. To develop our growing pipeline of products we are looking for experienced professionals in the area of pharmaceutical development. In this challenging position, you will play a key role in the development of parenteral dosage form. The position is based in the Genome Valley, Hyderabad, within the Technical Research and Development Organization (TRD) of Global Drug Development (GDD). Role purpose Design, plan, perform, and interpret scientific experiments to perform chemical and pharmaceutical profiling of NCEs resulting in robust analytical method development, solid form characterization and formulation strategy development in collaboration within a multifunctional project team coordinated by a Project leader. Manage and contribute to maintenance of lab instruments/infrastructure. About the Role Major accountabilities: Ensure the selection of the appropriate NCE during discovery and early phase product development by performing appropriate risk assessments using physicochemical characterization, in vitro assessments, and in silico assessments. Design & formulate appropriate pre-clinical PK and tox formulations for parenteral and oral routes. Select, develop, and scaleup appropriate enabling technologies such as nanosuspension, amorphous solid dispersions, or microemulsion development per risk assessed. Design and perform analytical scientific experiments to characterize solubility, dissolution, pH, and permeability for DS and DP. Analysis by UV fiber optics, UPLC/HPLC, and other techniques as required (SEC, IC, Raman, FT-IR, XRPD, DSC, TGA, NMR, etc. ). Design, plan and perform scientific experiments to support development of new technologies. Contribute to project related scientific/technical activities either independently or under minimal guidance from more experienced team member. Propose and provide input for the design of next experiments. Generate and evaluate data. Interpret results and document and report result using electronic notebooks(eLN) according to Novartis electronic documentation processes. Author development reports, laboratory protocols, etc. as per need. Communicate and address problems, perform literature searches. Adhere to all health and safety (HSE) practices appropriate to the site and country. Work according to appropriate SOP s, and Novartis guidelines. Maintain a clean and safe working space. Utilize special tools/equipment and specialized facilities e. g. , containment facilities, for potent compounds. Make sure that all deliverables are achieved against agreed project timelines and meeting quality expectations. Contribute to selection, installation, training, and maintenance of equipment and infrastructure. Manage inventory (chemicals, excipients, consumables, and solvents) within own area of responsibility. Evaluation and implementation of new methods and technologies, scientific contributions, supervision of research projects and initiation of new research activities. Enable Novel Delivery Technologies evaluation as per project needs Proactively support the overall culture of the organization through coaching, mentoring, providing feedback, driving innovation, external collaborations, and best practice sharing. Report and present scientific/technical results internally and contribute to peer reviewed publications, presentations, and patents. Fully adhere to all relevant Novartis Policies and Guidelines. Role model the Novartis Values and Behaviors. Minimum Requirements: M. Pharm with 7 to 10 years of experience or PhD in Science with focus on pharmaceutical sciences and technology (e. g. Pharmacy, Chemistry) with 5+ years of experience Experience in the development, scale-up and technology transfer of Parenteral Drug Product manufacturing processes is required. Background in aseptic process development of parenteral product is required Thorough understanding of aseptic fill-finish unit operations (i. e. filling, filtration, mixing, lyophilization etc. ) and equipment for scale-down model development and process characterization is required. Experience with regulatory filings (IND/IMPD etc. ) is required. Demonstrated competency and experience in drug product development within the pharmaceutical industry is required. Successful work experience in a matrix organization is preferred. Good oral, written (good experience in writing of scientific reports and filing documentation) and presentation skills are essential. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients lives. Ready to create a brighter future together? https://www. novartis. com / about / strategy / people-and-culture Join our Novartis Network: Not the right Novartis role for you? 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Quantitative development to implement and optimize algorithms for asset pricing, risk management, and trading strategies and migrate analytics from c++ to Python Writes secure and high-quality code using Python or C++ with limited guidance Required Candidate profile 3+ years of Python, C++ Quantitative finance background with strong experience in bonds Experience with calculating Risk or Pricing of asset classes

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 As part of our flexible scheme, here are just some of the benefits that youll enjoy 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) 1-3 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 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

Job Summary: UPS Enterprise Data Analytics team is looking for a talented and motivated Data Scientist to use statistical modelling, state of the art AI tools and techniques to solve complex and large-scale business problems for UPS operations. This role would also support debugging and enhancing existing AI applications in close collaboration with the Machine Learning Operations team. This position will work with multiple stakeholders across different levels of the organization to understand the business problem, develop and help implement robust and scalable solutions. You will be in a high visibility position with the opportunity to interact with the senior leadership to bring forth innovation within the operational space for UPS. Success in this role requires excellent communication to be able to present your cutting-edge solutions to both technical and business leaderships. Responsibilities: Become a subject matter expert on UPS business processes and data to help define and solve business needs using data, advanced statistical methods and AI Be actively involved in understanding and converting business use cases to technical requirements for modelling. Query, analyze and extract insights from large-scale structured and unstructured data from different data sources utilizing different platforms, methods and tools like BigQuery, Google Cloud Storage, etc. Understand and apply appropriate methods for cleaning and transforming data, engineering relevant features to be used for modelling. Actively drive modelling of business problem into ML/AI models, work closely with the stakeholders for model evaluation and acceptance. Work closely with the MLOps team to productionize new models, support enhancements and resolving any issues within existing production AI applications. Prepare extensive technical documentation, dashboards and presentations for technical and business stakeholders including leadership teams. Qualifications Expertise in Python, SQL. Experienced in using data science-based packages like scikit-learn, numpy, pandas, tensorflow, keras, statsmodels, etc. Strong understanding of statistical concepts and methods (like hypothesis testing, descriptive stats, etc.), machine learning techniques for regression, classification, clustering problems, including neural networks and deep learning. Proficient in using GCP tools like Vertex AI, BigQuery, GCS, etc. for model development and other activities in the ML lifecycle. Strong ownership and collaborative qualities in the relevant domain. Takes initiative to identify and drive opportunities for improvement and process streamline. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Masters Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Bonus Qualifications NLP, Gen AI, LLM knowledge/experience Knowledge of Operations Research methodologies and experience with packages like CPLEX, PULP, etc. Knowledge and experience in MLOps principles and tools in GCP. Experience working in an Agile environment, understanding of Lean Agile principles.

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. 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) 1-3 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.