10 Microstructure Jobs

Key Responsibilities Lead supplier corrective action processes including containment, root cause analysis, and implementation of corrective actions. Support and influence PPAP and APQP processes to ensure robust product and process validation. Conduct and support quality audits at supplier and internal sites. Drive continuous improvement initiatives using Lean, Six Sigma, A3, 7-step problem solving, and AIAG core tools. Design and support VPI (Value Package Introduction) product launch plans. Measure and analyze supplier quality performance and collaborate on improvement plans. Coach and mentor less experienced team members in quality practices. Apply Quality 4.0 tools and digital systems to enhance quality outcomes. External Qualifications and Competencies Qualifications Bachelors degree in Engineering or a related technical/scientific field (required). Relevant certifications in Quality Management, Six Sigma, or related disciplines are a plus. May require licensing for compliance with export controls or sanctions regulations. Core Competencies Values Differences Embraces diverse perspectives and cultures. Customer Focus Builds strong relationships and delivers customer-centric solutions. Communicates Effectively Tailors communication to different audiences. Problem Solving Uses structured methods to identify root causes and implement solutions. Advanced Product Quality Planning Ensures customer satisfaction through structured planning. Statistical Foundations Applies statistical tools to influence decisions. Measurement Science Understands metrology and measurement uncertainty. Project Issue and Risk Management Identifies and mitigates risks effectively. Quality 4.0 Leverages digital tools like digital twins, simulation, and connected systems. Quality Influence Engages stakeholders and drives quality-focused decisions. Interpreting Technical Requirements Applies GD&T and engineering standards. Manufacturing Process Validation Uses DFMEA, PFMEA, Control Plans, and PPAP. Auditing Conducts effective quality and safety audits. Develops Talent Coaches and develops team members. Additional Responsibilities Unique to this Position Skills and Experience Required: Minimum 2 years of experience in manufacturing or quality roles. Strong understanding of casting, heat treatment, and machining processes. Experience in automotive or similarly regulated industries preferred (3+ years ideal). Casting Knowledge: Technical feasibility studies, simulation techniques, and pattern design. Understanding of casting types, defects, machinability, and soundness criteria. Proficiency in microstructure analysis, radiography, and welding processes. Heat Treatment: Knowledge of hardening, tempering, annealing, normalizing, and carburizing. Familiarity with microstructure elements like carbides, retained austenite, and grain size. Experience with induction hardening processes. Machining: Interpretation of part design and material/tool selection. Understanding of machining features, methods, setups, and tool changes. Knowledge of tolerance, surface finish, and machine/tool limitations.

The Heat Treatment Engineer in a foundry with a grinding media line is responsible for planning, executing, (like quenching, tempering, annealing) to enhance the hardness, wear resistance, and mechanical grinding media balls Required Candidate profile Hardening and Tempering Quenching (oil/water/air-based) Annealing, Normalizing, Stress Relieving HT Furnace Operating , Hardness , Micro , etc..

Project description We need a Senior Quant Developer to work for a leading investment bank client for the part of Trade Surveillance Team. Lead the design and development of advanced quantitative and AI-driven models for market abuse detection across multiple asset classes and trading venues. Drive the solutioning and delivery of large-scale surveillance systems in a global investment banking environment, leveraging Python, PySpark, big data technologies, and MS Copilot for model development, automation, and code quality. Play a pivotal role in communicating complex technical concepts through compelling storytelling, ensuring alignment, and understanding across business,compliance, and technology teams. Responsibilities Architect and implement scalable AI/ML models (using MS Copilot, Python, PySpark, and other tools) for detecting market abuse patterns (e.g., spoofing, layering, insider trading) across equities, fixed income, FX, and derivatives. Collaborate closely with consultants, MAR monitoring teams, and technology stakeholders to gather requirements, share insights, and co-create innovative solutions. Translate regulatory and business requirements into actionable technical designs, using storytelling to bridge gaps between technical and non-technical audiences. Develop cross-venue monitoring solutions to aggregate, normalize, and analyze trading data from multiple exchanges and platforms using big data frameworks. Design and optimize real-time and batch processing pipelines for large-scale market data ingestion and analysis. Build statistical and machine learning models for anomaly detection, behavioral analytics, and alert generation. Ensure solutions are compliant with global Market Abuse Regulations (MAR, MAD, MiFID II, Dodd-Frank, etc.). Lead code reviews, mentor junior quants/developers, and establish best practices for model validation and software engineering, with a focus on AI-assisted development. Integrate surveillance models with existing compliance platforms and workflow tools. Conduct backtesting, scenario analysis, and performance benchmarking of surveillance models. Document model logic, assumptions, and validation results for regulatory audits and internal governance. Skills Must have Technical Skills: 7+ years of experience Investment banking domain experience Advanced AI/ML modelling (Python, PySpark, MS Copilot, kdb+/q, C++, Java) Must be well versed with SQL and have hands on experience writing SQL (preferably Spark SQL) that is productionized (not ad-hoc queries) for at least 2-4 years Familiarity with Cross-Product and Cross-Venue Surveillance Techniques particularly with vendors such as TradingHub, Steeleye, Nasdaq or NICE Statistical analysis and anomaly detection Large-scale data engineering and ETL pipeline development (Spark, Hadoop, or similar) Market microstructure and trading strategy expertise Experience with enterprise-grade surveillance systems in banking. Integration of cross-product and cross-venue data sources Regulatory compliance (MAR, MAD, MiFID II, Dodd-Frank) Code quality, version control, and best practices. Soft Skills: Strong storytelling and communication for technical and non-technical audiences Collaboration with consultants, MAR monitoring teams, and technology stakeholders Stakeholder management and requirements gathering Leadership, mentoring, and team guidance Problem-solving and critical thinking Adaptability and continuous learning Nice to have Understanding of Financial Markets Asset Classes (FX, FI, Equities, Rates, Commodities & Credit), various trade types (OTC, exchange traded, Spot, Forward, Swap, Options) and related systems is a plus Surveillance domain knowledge, regulations (MAR, MIFID, CAT, Dodd Frank) and related Systems knowledge is certainly a plus

Project description We need a Senior Quant Developer to work for a leading investment bank client for the part of Trade Surveillance Team. Lead the design and development of advanced quantitative and AI-driven models for market abuse detection across multiple asset classes and trading venues. Drive the solutioning and delivery of large-scale surveillance systems in a global investment banking environment, leveraging Python, PySpark, big data technologies, and MS Copilot for model development, automation, and code quality. Play a pivotal role in communicating complex technical concepts through compelling storytelling, ensuring alignment, and understanding across business,compliance, and technology teams. Responsibilities Architect and implement scalable AI/ML models (using MS Copilot, Python, PySpark, and other tools) for detecting market abuse patterns (e.g., spoofing, layering, insider trading) across equities, fixed income, FX, and derivatives. Collaborate closely with consultants, MAR monitoring teams, and technology stakeholders to gather requirements, share insights, and co-create innovative solutions. Translate regulatory and business requirements into actionable technical designs, using storytelling to bridge gaps between technical and non-technical audiences. Develop cross-venue monitoring solutions to aggregate, normalize, and analyze trading data from multiple exchanges and platforms using big data frameworks. Design and optimize real-time and batch processing pipelines for large-scale market data ingestion and analysis. Build statistical and machine learning models for anomaly detection, behavioral analytics, and alert generation. Ensure solutions are compliant with global Market Abuse Regulations (MAR, MAD, MiFID II, Dodd-Frank, etc.). Lead code reviews, mentor junior quants/developers, and establish best practices for model validation and software engineering, with a focus on AI-assisted development. Integrate surveillance models with existing compliance platforms and workflow tools. Conduct backtesting, scenario analysis, and performance benchmarking of surveillance models. Document model logic, assumptions, and validation results for regulatory audits and internal governance. Skills Must have Technical Skills: 7+ years of experience Investment banking domain experience Advanced AI/ML modelling (Python, PySpark, MS Copilot, kdb+/q, C++, Java) Must be well versed with SQL and have hands on experience writing SQL (preferably Spark SQL) that is productionized (not ad-hoc queries) for at least 2-4 years Familiarity with Cross-Product and Cross-Venue Surveillance Techniques particularly with vendors such as TradingHub, Steeleye, Nasdaq or NICE Statistical analysis and anomaly detection Large-scale data engineering and ETL pipeline development (Spark, Hadoop, or similar) Market microstructure and trading strategy expertise Experience with enterprise-grade surveillance systems in banking. Integration of cross-product and cross-venue data sources Regulatory compliance (MAR, MAD, MiFID II, Dodd-Frank) Code quality, version control, and best practices. Soft Skills: Strong storytelling and communication for technical and non-technical audiences Collaboration with consultants, MAR monitoring teams, and technology stakeholders Stakeholder management and requirements gathering Leadership, mentoring, and team guidance Problem-solving and critical thinking Adaptability and continuous learning Nice to have Understanding of Financial Markets Asset Classes (FX, FI, Equities, Rates, Commodities & Credit), various trade types (OTC, exchange traded, Spot, Forward, Swap, Options) and related systems is a plus Surveillance domain knowledge, regulations (MAR, MIFID, CAT, Dodd Frank) and related Systems knowledge is certainly a plus

Project description We need a Senior Quant Developer to work for a leading investment bank client for the part of Trade Surveillance Team. Lead the design and development of advanced quantitative and AI-driven models for market abuse detection across multiple asset classes and trading venues. Drive the solutioning and delivery of large-scale surveillance systems in a global investment banking environment, leveraging Python, PySpark, big data technologies, and MS Copilot for model development, automation, and code quality. Play a pivotal role in communicating complex technical concepts through compelling storytelling, ensuring alignment, and understanding across business,compliance, and technology teams. Responsibilities Architect and implement scalable AI/ML models (using MS Copilot, Python, PySpark, and other tools) for detecting market abuse patterns (e.g., spoofing, layering, insider trading) across equities, fixed income, FX, and derivatives. Collaborate closely with consultants, MAR monitoring teams, and technology stakeholders to gather requirements, share insights, and co-create innovative solutions. Translate regulatory and business requirements into actionable technical designs, using storytelling to bridge gaps between technical and non-technical audiences. Develop cross-venue monitoring solutions to aggregate, normalize, and analyze trading data from multiple exchanges and platforms using big data frameworks. Design and optimize real-time and batch processing pipelines for large-scale market data ingestion and analysis. Build statistical and machine learning models for anomaly detection, behavioral analytics, and alert generation. Ensure solutions are compliant with global Market Abuse Regulations (MAR, MAD, MiFID II, Dodd-Frank, etc.). Lead code reviews, mentor junior quants/developers, and establish best practices for model validation and software engineering, with a focus on AI-assisted development. Integrate surveillance models with existing compliance platforms and workflow tools. Conduct backtesting, scenario analysis, and performance benchmarking of surveillance models. Document model logic, assumptions, and validation results for regulatory audits and internal governance. Skills Must have Technical Skills: 7+ years of experience Investment banking domain experience Advanced AI/ML modelling (Python, PySpark, MS Copilot, kdb+/q, C++, Java) Must be well versed with SQL and have hands on experience writing SQL (preferably Spark SQL) that is productionized (not ad-hoc queries) for at least 2-4 years Familiarity with Cross-Product and Cross-Venue Surveillance Techniques particularly with vendors such as TradingHub, Steeleye, Nasdaq or NICE Statistical analysis and anomaly detection Large-scale data engineering and ETL pipeline development (Spark, Hadoop, or similar) Market microstructure and trading strategy expertise Experience with enterprise-grade surveillance systems in banking. Integration of cross-product and cross-venue data sources Regulatory compliance (MAR, MAD, MiFID II, Dodd-Frank) Code quality, version control, and best practices. Soft Skills: Strong storytelling and communication for technical and non-technical audiences Collaboration with consultants, MAR monitoring teams, and technology stakeholders Stakeholder management and requirements gathering Leadership, mentoring, and team guidance Problem-solving and critical thinking Adaptability and continuous learning Nice to have Understanding of Financial Markets Asset Classes (FX, FI, Equities, Rates, Commodities & Credit), various trade types (OTC, exchange traded, Spot, Forward, Swap, Options) and related systems is a plus Surveillance domain knowledge, regulations (MAR, MIFID, CAT, Dodd Frank) and related Systems knowledge is certainly a plus Location - pune,mumbai,chennai,banagalore

Role & responsibilities Operate and monitor furnaces for preheating, solution annealing, quenching, and tempering. Maintain furnace cleanliness, basic upkeep, and assist in preventive maintenance. Record timetemperature charts, batch details, and ensure traceability. Follow safety procedures for hot material handling and quenching operations. Coordinate with production/quality for scheduling and inspections. Preferred candidate profile B.E /Diploma in Mechanical/Metallurgy or equivalent. 2-3 years experience in industrial heat treatment. Basic knowledge of steel/alloy heat treatment and hardness checks. Familiarity with furnace controls and safety practices.

Inspect and verify the quality of raw materials (e.g., scrap metal, alloys) before they are used in the steel melting process. Ensure that all incoming materials meet the required specifications for the production of high-quality steel. Oversee the melting process in furnaces (electric arc furnaces, induction furnaces, etc.) to ensure proper temperature and alloy composition are maintained. Conduct real-time monitoring of parameters like temperature, pressure, and chemical composition to achieve the desired steel grade. Perform sampling of molten steel at various stages to analyze its chemical composition (e.g., carbon, manganese, sulfur, phosphorus content). Use spectrometry and other testing methods to verify that the steel meets the required specifications. Carry out mechanical tests such as tensile strength, yield strength, elongation, and hardness to determine the material properties of the steel. Analyze the results of mechanical tests to ensure steel quality and suitability for its intended use. Perform metallographic analysis to assess the microstructure of steel (grain size, phase composition, etc.) and identify any potential defects. Ensure that the steel’s microstructure aligns with the desired quality standards for strength, ductility, and other performance characteristics. Utilize various non-destructive testing methods such as ultrasonic testing, radiography, and magnetic particle testing to detect surface and internal defects in steel products. Collaborate with the production team to resolve any issues identified through NDT

Requirements: Should have managed tests/ examination like Microstructure Examination, Failure investigation, Heat treatment, FMEA, IATF Core Tools Knowledge, NDT Testing. Candidate should be of metallurgy profile from Automobile/Auto Component or Steel Industry. Job Description: Preparation of Technical delivery conditions for different grades of material. Study MFR from supplier and confirmation on MFR. Supplier communication for Non-conformance, CAPA follow-up. Supplier selection based on quality, section and grade for RM ordering. Supplier Audit and ratings. Study all furnaces behaviour with travelling thermocouple readings, SCADA report Study. Monitoring of hardening cycles and furnace behaviour through hardness readings and Metallurgical inspection, revision in HT cycles. Understanding of characteristic of quenching oil cooling curve. Provide HT cycles for new product development. Online Failure study and root cause analysis. Verification of the reports of microstructure examination of raw material for chemistry, inclusion rating, grain size, microstructure, decarb in RM inward stage and process. Technical discussion with management for any issue or customer complaint. Handling of customer audits. Communication with technical consultant in case of any issue. Study customer standard and confirm the feasibility of mechanical and metallurgical requirements. Study heating parameters of parabolic and HT furnace to achieve desired properties. Provide technical know how to handle new grade starting from RM to Shot peening Detailed failure investigation of new product developed failed parts with proper presentations. Communication with marketing and customer regarding customer complaint Failure investigation and provide failure report (CAPA). Implement and monitoring action taken after CC. To do research in any problem related to metallurgy and provide technical knowhow. Monitoring QA Lab functions. Understanding of working function of Metallurgical microscope, Spectrometer, Vickers hardness testing and XRD. Preparation of checklist, SOP and WI for all lab equipment's. QMS check list for Lab (AMC, calibration plan, Breakdown history etc.). CO - ordination with 3rd party for inspection and testing queries. Participation in thermocouple validation for furnace. Increasing in-house testing facility to reduce dependency on external testing agency. Perform regular check on heat treatment process sheet and ensure for no deviation Monitoring Routine calibration of Laboratory equipment's Participate and accountable for quench media testing and its specific control Work on ISO/IAFT/ QMS activities Practice safe working techniques and adhere to environmental, health and safety (EHS) policies, guidelines, and procedures CQI-9 to be maintained and implemented for Heat Treatment. Any specific skills/competencies required : MS Office, Advanced Excel, Power Point.

Role & responsibilities Lab Scale Heat Treatments, Micro-structural and Property characterisation, scrutiny of bulk production data, Generation and maintenance of database, assist in drawing, support blank cutting, sample machining, inspection & testing etc. Support to scientists in conducting the experiments. The client is a leading government laboratory deals with cutting edge technology. Preferred candidate profile Diploma in Mechanical Engineering or B.Tech in Mechanical Engineering through Lateral entry. Minimum one year of experience.

Metallurgist / Lab - HOD Should have knowledge of 1. Microstructure 2. Grainflow 3. Hardness 4. Magna Flux 5. CQI - 9 6. Eddy Current 7. steel chemical composition