9 Model Development Jobs

As a CDP Specialist, you willbe responsible for building, optimizing, and managing a robust customer data ecosystem to support personalized marketing strategies, analytics, and data-driven decision-making. The role demands technical expertise, and hands-on development skills to implement and maintain the CDP infrastructure. Responsibilities: Lead the implementation and configuration of the Customer Data Platform, ensuring proper integration with marketing technologies. Oversee the collection, organization, and maintenance of customer data within the CDP, ensuring it is accurate, complete, and up-to-date. Implement data governance protocols to maintain data quality, consistency, and compliance with regulatory standards. Leverage the CDP to create highly targeted and segmented customer groups based on behaviors, demographics, and past interactions. Collaborate with marketing teams to ensure the effective use of customer segments for email, social, web, and other marketing channels. Use and implement ML models on CDP platform to derive actionable insights from customer data stored in the CDP. Develop predictive analytics models to enhance customer segmentation, improve personalization strategies, and drive dynamic pricing models. Implement recommendations and personalization in marketing campaigns across email, social media, web, and app channels. Leverage powered tools to predict customer behaviors, optimize campaigns, and recommend relevant content or products to customers. Qualifications: Education: Bachelor s degree in Marketing, Data Science, Computer Science, Business Analytics, or a related field. A Masters degree is a plus. Experience: 2-6 years of experience working with Customer Data Platforms, AI/ML-driven tools, and marketing technologies. Technical Skills: Proficiency in CDP platforms such as Adobe Experience Platform, or similar. Strong understanding of AI/ML algorithms, predictive analytics, and ML business models powered. Experience in tools like Python, R, or similar for AI model development.

Responsibility: Perform requirement engineering and function development of function such powertrain vehicle function and CNG software in ECU. Perform function benchmarking suing actual vehicle and literature study. Prepare concept for New functions. Prepare implementation of control function using Model based development Perform close loop MIL and SIL testing Prepare check lists and perform testing and validation (bench and vehicle level. Technical Competencies: Powertrain vehicle function concept development based on function benchmarking. New vehicle function model development validation. Final spec development after detail DFMEA Design reviews.

Job Responsibility : Team Member or Team Leader for Measurement, Data Analysis, and counter-measure proposal for improving the Sound Quality and Customer experience of Driving: Capable of carrying out Noise and Vibration measurement. Analyzing the Sound Spectrum for Psychoacoustic Parameters like Roughness, Sharpness, Loudness, Articulation Index, Tonality etc. Capable of Performing Jury Evaluation and develop framework for subjective and objective data correlation. Collaborate with design, simulation, and product development teams to implement NVH optimization strategies during the product lifecycle based on Sound Quality inputs. Competency Requirements : Experience with sound quality analysis, including subjective/objective evaluations, using tools such as HEAD Acoustics or similar. Experience in NVH Test data analysis software like Siemens Test Lab, BK connect, BK Sonoscout, Muller BBM Pak, etc. Hands on experience on using measurement sensors - microphones, accelerometers, tacho sensors, CAN data loggers, Binaural Headset, Volume Velocity Sources, Data acquisition systems, etc. Expertise in using Jury Evaluation Software s Hands-on experience with Python for data processing, process automation, and machine learning model development is a plus. Team player, good analytical/ presentation skills decision-making skills. Future planning conceptualization thinking. Subordinate development motivational skills Specific Expertise : Mastery in recording, mixing, and masking noise techniques is crucial, and know-how of latest audio software and hardware innovations. Skill in driving on High Speed and different road patterns

Responsibilities: Prepare finite element models of Vehicle Chassis (Brake, Suspension Steering) components and subsystems. Apply basic loading and boundary conditions for structural, thermal and modal analysis of chassis parts especially brakes. Carry CAE Analysis and establishcorrelation of results with actual tests. Result interpretation and detailed analysis report preparation. Efficient execution of CAE activities for model development, Value Enhancement, Quality resolution projects at different product development stages. Participation in problems trouble shooting and after-analysis, proposing countermeasures and support in implementation. Supporting design team to generate evaluate weight cost reduction proposals. Support the team in improvement and generation of CAE methodology. Competency Requirements: (a) Technical/ Functional : Good knowledge of functioning and design of Chassis parts and subsystems especially brakes. Ability to perform virtual validation interpreting physical test conditions. Excellent knowledge of Noise and Vibration, Fatigue Theory of Elasticity. Candidate should have: Good Concept of FEA, Analysis of part level, sub system level and vehicle level Experience in using Pre / Solver / Post tools like Hypermesh, Hyperview, Estech Sequal, ABAQUS Experience in doing NVH analysis using Solver MSC Nastran . Desired: Experience on Brake parts NVH, Structural CAE. Suspension Steering CAE know-how is added advantage. (b) Behavioral: Good analytical ability, Communication presentation skills, Problem solving skills, Achievement oriented, Active Team player, Networking skills.

Team Member Model Development Activities Plan and execute design/development test requirements. Conduct root cause analysis and develop countermeasures. Coordinate with CAE/Design teams for result validation and implementation. Manage team activities and provide training as needed. Competency Requirements Experience in vehicle safety testing such as: Seat belt anchorage, headform impact, bumper side impact, pedestrian headform/legform tests. Awareness of pedestrian safety test dummies like Headform, FLEX-PLI, A-PLI, etc. Knowledge of passive safety regulations. Familiarity with NCAP protocols and safety rating systems. Hands-on experience with UG (Unigraphics) design software. Strong team player with good analytical and presentation skills. Effective decision-making and conceptual thinking for future planning. Specific Expertise in Functional Area Openness to learning and continuous improvement. Creative and innovative problem-solving approach. Ability to share experience and train others effectively. Skilled in disseminating knowledge within the team or group.

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.

Must have of the roles : Strong understanding of capital market products and derivatives across asset classes Good knowledge and experience in CCR domain areas such as PFE, EE, EEE, EPE and EEPE computation methodologies, ECL computation Good understanding of the Basel norms and its impact on Banks Experience working in Capital and RWA computations. Ability to operate in both agile and waterfall style project methodologies and understand deliverables required for each methodology. Attention to detail and high-quality standards of documentation, processes, and control environment. Experience in the full E2E systems delivery lifecycle (SDLC) / Agile framework. Good to have: Detailed knowledge of all Microsoft Office products, i.e. Word, Excel, Power Point, Project, and Visio Proficiency in data analysis, virtualization, and BI solutions SQL, Python, Dremio, PowerBI, Alteryx, Tableau etc. Excellent communication, organization, prioritization, and documentation skills Flexibility adapts effectively to changing plans, domains and priorities; Is open and flexible when faced with changing project constraints Qualifications: Degree/ Qualified accountant/FRM with regulatory reporting background. CA/MBA(Finance)/ M.SC (stats) Certifications in CFA/ FRM A power user of Excel spreadsheet and PowerPoint. Acumen and demonstrated knowledge to use visualization tools (i.e., Power BI) will be advantageous. Investment banking product knowledge and other regulatory development around IB SAS, Python

RESPONSBILITIES Develop and iteratively optimize the firm's funding liability strategy, considering cost, channel diversification, maturity concentration, and impact to key liquidity and capital metrics across baseline and designed stress scenarios Build and develop models, tools and analytical frameworks to enhance decision-making capabilities Conduct scenario analysis to help inform marginal liability management and resource allocation decisions based on liquidity availability, marginal costs, return profile, and franchise benefits Create presentations for discussion with the Board of Directors, senior management, regulators and other key stakeholders BASIC QUALIFICATIONS Highly-motivated, detail-oriented self-starter who is comfortable operating in a fast-paced environment and balancing multiple priorities Excellent analytical skills, with ability to formulate problems, test hypotheses, and condense complex problems into plain language Experience managing and interpreting large amounts of data, and analyzing the output to identify trends and present solutions through business intelligence tools such as Tableau Functional understanding of financial institution financial reports, Bank Holding Company (BHC) and subsidiary liquidity and capital requirements such as the LCR, NSFR, and G-SIB surcharge Strong written and oral communication skills with ability to produce polished presentation materials for senior executives Strong teamwork and interpersonal skills to collaborate with global team members across time zones PREFERRED QUALIFICATIONS Experience working in Consulting, Treasury or another finance-related function in a corporate or major financial institution Exposure to banking funding products, capital or money markets a plus Experience with Business Intelligence toolkits, such as tableau, aqua studio (SQL) or Jupyter notebook (Python)

We are seeking a high-energy and innovative leader to join our Omnichannel Centre of Excellence to develop new, specialized capabilities for Axtria, and to accelerate the company's growth by supporting our clients omnichannel marketing strategies. Axtria CustomerIQTM is the most advanced omnichannel-driven customer engagement solution for the life sciences industry. It enables personalized interactions, at scale to optimize commercial activity. Axtria CustomerIQTM combines the power of AI/ML-based analytics with a unique knowledge of the customer journey to recommend Next Best Experiences (NBX) through Next Best Action (NBA) recommendations, significantly improving the interaction between the life sciences company and its customers. Axtria CustomerIQTM provides a complete, continuous 360 view of the customer while automating and optimizing the efficiency of both sales and marketing channels, driving higher revenue. Education Fellow Programme - Engineering Work Experience Following are the skills we hire for our Omnichannel Team. Your experience could be a fit for one of the relevant skills. Specific JD for relevant skills will be discussed by Recruiters. Data Engineer: 5-8 years experience in data engineering, consulting, and/or technology implementation roles. Responsible for omnichannel data engineering engagements that leverage Axtria's custom data management platform or clients own technology stacks. Drive integration of traditional & digital marketing data to create a 360-degree view of the customer. Data Scientist: 5-8 years of experience in the entire model development pipeline from ideation to deployment, testing & monitoring, and different ML architectures (e.g., supervised, unsupervised, reinforcement learning, etc.). Responsible for the end-to-end deployment of predictive models including scoping, testing, implementation, maintenance, tracking, and optimization of predictive models and executing statistical and data mining techniques (e.g., hypothesis testing, machine learning, and retrieval processes) on large data sets to identify trends, figures, and other relevant information. Business Analyst: 5-8 years of experience in marketing analytics. The primary role is to gather business requirements related to omnichannel marketing processes, built-in Axtria's proprietary CustomerIQ technology platform, or in clients selected decision engine technologies. Success in the role will lead to additional responsibilities to engage and advise clients, guide CustomerIQ product feature designs, develop new processes and standards, innovate new algorithm approaches, and more.