Machine Programming Product Analyst Job at Sopra Steria (Bengaluru)

Machine Programming Functional Analyst

Expert on NCP on Machining process 3-5 Axis. Good Aweness of G code and M code. ...

Location

India , Bengaluru

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

Expert on NCP on Machining process 3-5 Axis
Good Aweness of G code and M code
CATIA V5 - Generative Shape Design, Part design and Fixture Design, Assembly Design and Advanced Machining
NCSIMUL is Mandatory and Vericut is optional
Good Awareness Aluminium/Hard metal behavior & properties Knowledge.
Knowledge of CNC Machines: Understand the types of CNC machines
Blueprint Reading: Interpret engineering drawings, and technical specifications to understand part requirements and dimensions.
Tooling Selection: Select the right cutting tools, drills, end mills, and other tooling based on the material and machining requirements
Time Management: Efficiently plan and manage production schedules to meet deadlines and optimize machine utilization
Quality Control: Implement quality control measures to verify that machined parts meet design specifications and quality standards.

New

Senior Data Engineer

We are looking for an experienced Senior Data Engineer to design, build, and opt...

Location

Poland

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Strong hands-on experience with Apache Spark and Delta Lake, and strong programming skills in Python and SQL. Proven experience building batch and streaming data pipelines and production-grade data platforms, with solid understanding of data modeling, data quality, and governance principles. Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP. Familiarity with modern data platforms such as Databricks and Snowflake is expected. Experience with lakehouse architectures and distributed data systems, and strong understanding of scalability, reliability, and performance considerations in data pipelines. Strong problem-solving skills focused on scalability and reliability, with a collaborative approach to working in cross-functional teams.

Job Responsibility

Design and implement scalable data platforms and pipelines across cloud environments
develop reliable batch, streaming, and near-real-time pipelines
implement modern data architectures including lakehouse patterns and medallion layering
deliver high-quality datasets supporting analytics, machine learning, causal modeling, and optimization systems
enable data pipelines for GenAI use cases
design scalable logical and physical data models
orchestrate workflows using tools such as Airflow, dbt, Lakeflow
apply modern architecture patterns including event-driven and streaming architectures
ensure adherence to best practices in data governance, lineage, quality, and access control
establish strong data observability

What we offer

24 working days of paid vacation
National holidays covered
Sick leave (up to 20/year)
Unpaid leave (up to 20/year)
Medical insurance
Multisport card OR Multikafeteria
Maternity & paternity leave support
Internal workshops & learning initiatives
Professional certifications reimbursement
Participation in professional local & global communities

Fulltime

New

Vice President, Business Analytics Lead Analyst

Location

United States , New York

Salary:

182000.00 - 205700.00 USD / Year

Citi

Expiration Date

July 17, 2026

Requirements

Master's degree, or foreign equivalent, in Engineering (any), Business Analytics or related field and 1 year of experience as a Credit Portfolio Senior Analyst, or related position involving analyzing data to monitor profitability, optimize revenue and costs for credit cards
Alternatively, employer will accept a Bachelor's degree in the stated fields and 3 years of the specified experience
Full span of experience must include: PySpark and HIVE within distributed computing environments, including EAP, for data manipulation, feature engineering, and statistical modeling for credit card transactional and behavioral data
SAS programming for data extraction from Teradata warehouses
Data transformations and developing predictive models for credit card revenue forecasting and credit card retention propensity scoring
SQL for query development, data extraction, and ad-hoc analysis from large-scale relational databases including Teradata
Profit and Loss (P&L) analysis for credit card portfolios
Developing comprehensive simulation scenarios to optimize portfolio performance
Data visualizations and dashboards using Tableau
Presenting to senior leadership

Job Responsibility

Strategic development and execution of advanced analytics for the Citi US Consumer Cards Retention program, encompassing both Account Retention and Pre-emptive Retention
Perform data analysis to identify customer behavior patterns across Phones, Digital, and Email channels, translating insights into targeted omni-channel marketing recommendations
Project management to build consensus and to maximize revenue and optimize portfolio value within the credit card business
Design, implement, and evaluate experimental designs, including A/B tests, partial-factorial, and full-factorial experimental designs, for testing new offers, products, strategies, and Existing Customer Management (ECM) initiatives
Provide actionable insights to continuously refine and recommend future offerings and strategies across all retention channels
Manage advanced segmentation and targeting models for credit card retention campaigns
Establish robust forecasting and performance measurement methodologies to predict and track impact
Formulate and present data-backed recommendations for future enhancements, strategic business opportunities, and operational policy adjustments for credit card retention
Identify attrition risks and the development of strategies to mitigate them
Translate complex analytical outputs into actionable credit card customer behavioral insights, and communicate findings to senior leadership

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Fulltime

New

Senior Data Engineer

Senior Data Engineer - UKRAINE - REMOTE. We are looking for an experienced Senio...

Location

Ukraine

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Strong hands-on experience with Apache Spark and Delta Lake
strong programming skills in Python and SQL
proven experience building batch and streaming data pipelines and production-grade data platforms
solid understanding of data modeling, data quality, and governance principles
experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP
familiarity with modern data platforms such as Databricks and Snowflake
experience with lakehouse architectures and distributed data systems
strong understanding of scalability, reliability, and performance considerations in data pipelines
strong problem-solving skills focused on scalability and reliability
collaborative approach to working in cross-functional teams

Job Responsibility

Build & Data Platform Engineering: design and implement scalable data platforms and pipelines across cloud environments
develop reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake
build ingestion, transformation, and curation workflows for both structured and unstructured data
implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold)
Enable AI, GenAI & Data Products: deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems
enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows) and agent-based architectures and intelligent workflows
Data Modeling, Orchestration & Automation: design scalable logical and physical data models for analytical and operational use cases
orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents
Architecture, Governance & Observability: apply modern architecture patterns including event-driven and streaming architectures
ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC)

What we offer

Mental and physical health: Medical insurance
Sports reimbursement budget
Home office support
A number of free psychological and legal consultations
Maternity and paternity leave support
Personal and professional development: Internal workshops and learning initiatives
English language classes compensation
Professional certifications reimbursement
Participation in professional local and global communities
Growth Framework to manage expectations and define the steps to move towards the selected career

Fulltime

New

Model/Anlys/Valid Officer

Location

United States , Tampa

Salary:

130449.69 - 180218.00 USD / Year

Citi

Expiration Date

August 03, 2026

Requirements

Master’s degree or foreign equivalent in Engineering (any), Data Science, Business Analytics, Mathematics, or related quantitative field
1 year of experience as a Data Analyst, Business Analyst, Banking Analyst, Officer, or related position involving AML and KYC risk and control procedures for banking services
Alternatively, will accept a Bachelor’s degree in the stated fields and 3 years of the specified experience
Fraud detection for money laundering/terrorist financing
Customer risk scoring and transaction monitoring rules and models for AML, KYC
Business Intelligence, Data Visualization for risk assessment, data reporting and KPI dashboards
Exploratory data analysis including empirical data distributions, data reconciliation, missing data imputation, and outlier analysis
Statistical analysis including sampling and supervised and unsupervised machine learning
Analytical programming using SQL,SAS, Python, Spark and Hadoop Ecosystem, VBA in Excel, XML

Job Responsibility

Apply quantitative and qualitative data analysis methods to extract, transform and analyze AML/KYC data using SAS, R programming, Python, and SQL
Perform validation of the bank’s KYC customer risk scoring tools and Anti-Money Laundering (AML) transaction monitoring tools to ensure regulatory compliance and establish risk and controls across multiple regions and lines of business, including Retail, Institutional, Credit Cards, Markets and Private Banking
Develop, enhance and validate quantitative methodologies for measuring and analyzing financial crimes risk – AML/KYC, ensuring the rule-based and machine learning (supervised and unsupervised) techniques are robust and effective
Serve the bank’s lines of defense by providing effective challenge to AML/KYC monitoring tools throughout their lifecycle, ensuring that conceptual soundness, technical specifications, data quality, and performance are validated in accordance with regulatory requirements
Evaluate theoretical construction and implementation of tools, challenging mathematical formulation, variables selection, threshold setting and code using statistical tests, ensuring assumptions and limitations are documented to assess fit-for-purpose
Data preparation and validation for modeling and analysis, handling of missing values and outliers, variable transformations, and feature pre-selection for tool stability
Automate data extraction and data preprocessing tasks, perform ad hoc data analyses, design and maintain complex data manipulation processes using Python
Establish robust controls around data quality, continuous monitoring of data quality flowing into AML tools
checks for completeness, anomalies, drifts, and integrity within core banking and data systems Mantas and EAP/Hadoop
Execute threshold analysis to evaluate and optimize production thresholds for AML monitoring scenarios, exploring data distributions and coverage analysis using SAS, R, Python or SQL to emulate and simulate tool logic

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Fulltime

Thematic Risk Analytics Lead Analyst – Vice President

An individual in Enterprise Risk Management plays a critical role in managing th...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Unstructured Data Expertise: Ability to extract, clean, transform and analyze unstructured data from diverse sources such as customer complaints, issues etc
Programming & Tools Proficiency: Strong skills in Python or Java with hands-on experience using key Natural Language Processing/Machine Learning libraries such as NLTK, spaCy, Gensim, TensorFlow, PyTorch or OpenAI APIs
Natural Language Processing & Machine Learning Skills: Expertise in text preprocessing (tokenization, stemming, lemmatization), named entity recognition, sentiment analysis and applying Machine Learning algorithms like classification, clustering and topic modelling
Data Engineering Capabilities: Ability to build and maintain scalable ETL/ELT pipelines and ensure data quality through validation and cleaning. Experience with manage NoSQL databases (MongoDB, Elasticsearch, Cassandra) is plus
Insights & Reporting: Experience converting processed unstructured data into actionable insights using visualizations, dashboards and automated reporting tools
10+ years of experience in Operational Risk Management, Audit, Compliance or other control function
Understanding of how to lead strong governance and controls, and build a culture of responsible finance, good governance, and ethics.
Familiarity with the firm's Code of Conduct, Plan of Supervision, and policies and procedures.
Background in collaborating with business partners on Audit, Compliance, and Regulatory findings and remediation efforts.
Familiarity with enhancing, automating, or simplifying control processes as well as monitoring control exceptions and breaches.

Job Responsibility

Independently design and execute analysis of large scale data populations aggregated from target platforms, processes and product lines, consisting of structured and unstructured data
Effectively identify, quantify and communicate emerging risk from aggregated data not identified by the enterprise in isolated processes to drive proactive risk mitigation
Leads risk and control analysis and validation in line with established standards, provides risk mitigation recommendations.
Collaborates on audit, compliance, and regulatory findings, drives remediation efforts, sets up the quarterly audit process, and oversees the procedural implementation and change management to ensure sound governance and controls.
Enhances and automates control processes, monitors control exceptions and breaches.
Establishes and promotes strong governance, controls, and a culture of responsible finance, contributing to the implementation and oversight of the Control Framework.
Adheres to firm's Code of Conduct, Plan of Supervision, and all role-specific policies and procedures.
Manages risk evaluation in business decisions, ensures compliance with laws and regulations, promptly reports control issues, identifies root causes, and recommends corrective actions to prevent potential breaches.
Maintains updated knowledge in conducting risk and control assessments and effectively influences others.
Drives innovative risk analysis, ensures timely risk reporting, develops key communication materials, leads risk management training, and effectively manages risks related to new activities and business changes.

Fulltime

AI Project / Product Manager - Security / GRC

We have a 6 - 12 month+ contract position for an AI Project / Product Manager wi...

Location

United States , St Louis

Salary:

Not provided

Zeektek

Expiration Date

Until further notice

Requirements

AI and IT Integrations Experience
Technical fluency to engage with AI / DSPM conversations
Business analyst / project manager mindset
Ability to understand and translate strategy
Partner with leaders, vendor, engineering, security, and GRC
Drive clarity, alignment, prioritization, and delivery
Produce BA/PM artifacts (requirements, roadmaps, dependencies, risks)
Work with the vendor
Bachelor’s degree in Business, IT, Cybersecurity, Data Analytics, or related field (or equivalent experience)
Exposure to AI, machine learning, or LLM-enabled solutions in an enterprise environment (required)

Job Responsibility

Lead end-to-end planning, execution, and delivery of AI Intelligence Layer initiatives supporting DSPM and data protection objectives
Translate strategic data protection and AI objectives into clear roadmaps, priorities, and delivery plans
Drive cross-functional alignment across business, security, engineering, GRC, and vendor teams
Partner with vendors throughout the lifecycle
Produce and maintain key program artifacts
Support requirements gathering and refinement
Facilitate prioritization and decision-making
Ensure solutions meet enterprise governance, risk, and compliance standards
Provide ongoing program oversight
Act as the primary coordinator across SDLC, security governance, and deployment processes

What we offer

Weekly Direct Deposit
401K Matching
Competitive medical, dental and vision insurance
Consistent communication throughout your project
ZeekTek Referral Program

Fulltime

Agentic AI Developer

The Applications Development Senior Programmer Analyst is an intermediate level ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

8+ years of relevant experience
5+ years of professional experience in software development with a focus on AI, machine learning, or agent-based systems. Experience in finance industry a plus.
Strong proficiency in Python, SQL
Java is a plus.
Solid understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems.
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries (e.g., scikit-learn, numpy, pandas).
Familiarity with large language models (LLMs) and their application in agentic systems.
Familiarity with specific agent frameworks (e.g., LangChain, AutoGen, CrewAI, RAG) or research in multi-agent reinforcement learning.
Experience in designing and implementing APIs for AI services.
Experience with software development best practices, including version control (Git), CI/CD pipelines, testing, and code reviews.

Job Responsibility

Agent Design and Development: Design and implement intelligent agents, including their perception, reasoning, planning, and action execution modules.
System Architecture: Develop scalable and robust architectures for agentic systems, ensuring high performance, reliability, and security.
Machine Learning Integration: Integrate various machine learning models (e.g., LLMs, reinforcement learning, predictive models) to enhance agent capabilities and decision-making.
Task Automation: Develop agents that can automate complex tasks, optimize workflows, and solve real-world problems across various domains.
Framework and Tooling: Utilize and contribute to agentic AI frameworks and development tools.
Evaluation and Optimization: Design and implement metrics and evaluation strategies for agent performance, continuously optimizing and improving agent behavior.
Research and Innovation: Stay abreast of the latest advancements in AI, particularly in agent-based systems, autonomous AI, and related fields, and propose innovative solutions.
Collaboration: Work closely with cross-functional teams including AI researchers, data scientists, product managers, and software engineers to integrate agentic solutions into broader products and services.
Documentation: Create comprehensive technical documentation for agent designs, implementations, and operational procedures.
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users

Fulltime

Select Country

Machine Programming Product Analyst

Job Description

Requirements

Looking for more opportunities?