Axiom Developer

Position Summary

This is a key role supporting the day‑to‑day operation of one of our esteemed customers' core financial systems across the organization. In this role, you will support application configuration and best practices for systems including Hyperion, PeopleSoft, Concur, Oracle Transportation Management (TMS), Planview, Lucernex, and Coupa. The scope of this role will continue to expand as additional finance systems are shared across multiple business processes and application modules.

Reporting to the Finance Systems Manager and working closely with multiple business stakeholders as well as functional and technical application support teams across the enterprise, you will be responsible for ensuring the ongoing integrity, stability, and effectiveness of application functionality across the Customer's systems landscape.

This position provides an excellent opportunity to support change within a cross‑functional, multi–business unit environment, with exposure to all areas of Finance operations. The role offers a fast‑paced and challenging work environment, with regular interaction and visibility across multiple levels of management.

What you will do:

• Query, script and reporting writing within Finance applications such as Hyperion, PeopleSoft, Concur, Oracle Transportation Management (TMS), Planview, Lucernex, and Coupa
• Application configuration to support core business functionality of procure to pay (P2P)
• Ensure Finance standards are consistently achieved and proactively monitored within our core finance applications
• Engage with broader Finance Systems and Data Governance team members to perform root-cause analysis related to Finance application integrity and/or data fixes resulting from upstream system integrations
• Engage with broader Finance Business Analysts members to support in application enhancements and improvement initiatives.

What we are looking for:

• Demonstrated experience supporting financial and/or operational business processes, such as:
• Record-to-Report (close, consolidation, reporting)
• Procure-to-Pay (requisition → PO → invoice)
• Lease/real estate management and/or portfolio delivery processes
• Proven track record in incident/problem/change management with practical experience leading triage, RCA, and release coordination.
• Ability to elicit requirements and convert them into configuration recommendations and well-defined work items.
• Hands-on leadership of UAT, including test planning, execution, defect management, and go-live readiness.
• Strong understanding of integrations from a functional support standpoint (how data flows, common failure modes, reconciliation).

What you will bring:

• 5+ years in functional application support or functional analyst roles supporting enterprise applications (ERP/EPM/SaaS).
• Bachelor’s degree in business, Finance, Information Systems, Supply Chain, or equivalent experience.
• Strong functional support mindset: restore service quickly, prevent repeat issues, and improve stability over time
• Functional support experience with one or more of:
• Coupa (P2P, catalog/invoicing, supplier enablement, matching rules)
• Lucernex (leases, escalations, CAM, critical dates, lease reporting)

Good to have any of the following skills:

• PeopleSoft Financials (ChartFields, AP, GL, workflow, batch processes)
• Concur (expense policy, audit rules, corporate card feeds, ERP posting)
• OTM/TMS (tendering, execution, rating, freight settlement/audit)
• Planview (demand intake, portfolio/resource mgmt., governance workflows)
• Hyperion (planning, consolidation, metadata/hierarchies, Smart View support)
• Ability to read and validate file layouts/mapping documents, troubleshoot integration logs, and run basic queries (SQL) for investigation.
• Experience with structured intake forums, prioritization frameworks, product ownership, or ITIL-based service management.
• Experience partnering with data governance teams or supporting data quality controls and stewardship processes.

Work time: Eastern time zone (US Shift)

Strong Data Analyst Profile with advanced Excel and SQL expertise

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Mandatory (Experience 1): Must have 4+ years of overall experience as a hands-on Data Analyst

3

Mandatory (Tech skill 1): Must be highly proficient in advanced Excel — complex functions, macros, calculations, and pivots

4

Mandatory (Tech skill 2): Must have strong hands-on SQL and a good understanding of relational database concepts

5

Mandatory (Tech skill 3): Must be able to automate routine tasks using Python (for automation purposes)

6

Mandatory (Skill 1): Must have exceptional analytical, problem-solving, and logical skills, with strong attention to detail and accuracy

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Mandatory (Skill 2): Must be able to understand complex data and business logic and convert it into a model (the role models complex utility tariffs, rates, and programs)

8

Mandatory (Communication): Must have strong verbal and written communication, able to work independently with India- and US-based team members and articulate problems and solutions over calls and email.

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Mandatory (Location): Must be based locally in Pune (or the nearby Maharashtra belt — Mumbai, Nagpur), as the final round is in person

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Preferred (Domain): Experience in the Energy/Utility industry and familiarity with basic utility (electrical/gas) tariff concepts

Job Summary:

We are looking for an experienced Actimize Developer with 4–6 years of experience in Actimize solutions and software development. The candidate should have strong programming skills and experience working with databases, Agile methodologies, and software design principles.

Key Responsibilities:

• Develop, configure, customize, and maintain Actimize solutions.
• Work on application development and integration using Java, C#, or Python.
• Analyze business requirements and translate them into technical solutions.
• Follow software design principles, design patterns, and coding best practices.
• Develop and optimize database queries using SQL Server, Oracle, or MySQL.
• Troubleshoot technical issues and perform root-cause analysis.
• Participate in Agile development activities such as sprint planning, stand-ups, and code reviews.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Perform application performance tuning and optimization.
• Support application testing, deployment, and production issues.

Mandatory Skills:

• Strong hands-on experience with Actimize solutions.
• Proficiency in Java, C#, or Python.
• Experience with Agile software development methodologies.
• Strong understanding of software design principles and design patterns.
• Good knowledge of SQL Server, Oracle, or MySQL.
• Strong problem-solving and analytical skills.
• Good communication and teamwork skills.

Preferred Skills:

• Experience with AWS or Azure cloud platforms.
• Knowledge of financial services and regulatory compliance.
• Familiarity with DevOps practices and tools.
• Experience in performance tuning and application optimization.

We are seeking a highly skilled Senior Software Engineer with a strong background in software development and a deep understanding of Actimize solutions. The ideal candidate will be responsible for designing, developing, and implementing software applications that enhance our financial crime risk management capabilities. This role requires a proactive approach to problem-solving and a commitment to delivering high-quality software solutions.

Responsibilities:

• Design, develop, and maintain software applications using Actimize solutions to support financial crime risk management.
• Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
• Implement best practices in software development, including coding standards, testing, and documentation.
• Conduct code reviews and provide constructive feedback to team members to ensure high-quality deliverables.
• Identify and troubleshoot software defects and performance issues, implementing effective solutions.
• Stay updated with the latest industry trends and technologies related to Actimize and software development.
• Participate in Agile development processes, including sprint planning, daily stand-ups, and retrospectives.
• Mentor junior developers and contribute to their professional growth.

Mandatory Skills:

• Strong knowledge and hands-on experience with Actimize solutions.
• Proficiency in programming languages such as Java, C#, or Python.
• Experience with software development methodologies, particularly Agile.
• Solid understanding of software design principles and design patterns.
• Familiarity with database technologies such as SQL Server, Oracle, or MySQL.
• Excellent problem-solving skills and attention to detail.
• Strong communication and interpersonal skills, with the ability to work effectively in a team environment.

Preferred Skills:

• Experience with cloud technologies and platforms (e.g., AWS, Azure).
• Knowledge of financial services and regulatory compliance.
• Familiarity with DevOps practices and tools.
• Experience in performance tuning and optimization of applications.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Relevant certifications in software development or Actimize solutions are a plus.

If you are a motivated and skilled software engineer with a passion for developing innovative solutions in the financial sector, we encourage you to apply and join our dynamic team.

Supercharge Your Career as a Technical Business Analyst at Technoidentity!

Are you ready to solve people challenges that fuel business growth? At Technoidentity, we’re a Data+AI product engineering company building cutting-edge solutions in the FinTech domain for over 13 years—and we’re expanding globally. It’s the perfect time to join our team of tech innovators and leave your mark!

What’s in it for You?

We are seeking an experienced Technical Business Analyst with strong Utility / Energy domain expertise to bridge business requirements and technical implementation. The ideal candidate will work closely with business stakeholders, product owners, and engineering teams to deliver high-quality solutions within Utility, Energy, and related enterprise platforms. You will be responsible for understanding utility business processes, translating

requirements into functional and technical specifications, and ensuring alignment between business objectives and system design.

Technical Business Analyst – Utility / Energy Domain

Hyderabad

Fulltime

What Will You Be Doing?

Requirement Gathering & Analysis

•Conduct detailed requirement-gathering sessions with business stakeholders in the Utility / Energy domain.

•Analyze business needs and translate them into clear functional and technical requirements.

Domain Analysis (Utility / Energy)

•Work on use cases related to Power & Utilities, Retail Energy, Metering, Billing, Customer Information Systems (CIS), Outage Management (OMS), Energy Trading, or Regulatory Reporting.

•Understand end-to-end utility workflows such as customer onboarding, billing cycles, consumption data, settlements, and compliance.

Documentation

• Create and maintain BRDs, FRDs, Functional Specifications, and User Stories.

• Ensure documentation reflects utility-specific business rules and regulatory constraints.

Process Mapping & Improvement

• Analyze current-state utility processes and define future-state workflows.

• Identify gaps, inefficiencies, and automation opportunities.

Stakeholder Communication

• Act as a liaison between utility business users, product teams, developers, QA, and project managers.

• Ensure alignment on scope, timelines, and deliverables.

Solution Design & Collaboration

• Work closely with engineering teams to design scalable solutions aligned with utility business requirements.

• Ensure solutions are technically feasible and compliant with industry standards.

Testing & Validation

• Define test scenarios and acceptance criteria.

•Participate in UAT, validating solutions against utility business needs.

Project & Post-Go-Live Support

•Support deployment and post-deployment activities.

•Assist in issue triaging and production support for utility applications.

What Makes You the Perfect Fit?

Education

• Bachelor’s degree in Computer Science, Information Systems, Business, or a related field.

Experience

•Minimum 8+ years of experience as a Business Analyst.

•Hands-on experience working on Utility / Energy domain projects is mandatory.

Technical Skills

•Familiarity with SQL, Java, JavaScript, Python or similar technologies.

•Experience with JIRA / Azure DevOps (ADO), Confluence, or similar tools.

•Strong skills in data analysis, data modeling, and process mapping. Soft Skills

•Strong analytical and problem-solving abilities.

•Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.

•Experience working in Agile / Scrum environments.

Preferred Qualifications

•Business Analysis certifications such as ECBA, CBAP, PMI-PBA.

•Prior experience in Utility, Energy, Power, or related regulated industries.

•Exposure to Tolling, Collections, Finance, or Billing systems is an added advantage.

•Basic understanding of project management and cross-functional coordination.

Job Summary

We are seeking a skilled and detail-oriented Power BI Developer to design, develop, and maintain enterprise-level BI solutions. The ideal candidate should have strong expertise in Power BI, DAX, SQL, Data Modeling, and performance optimization tools such as DAX Studio, Tabular Editor, and ALM Toolkit. The candidate will collaborate with business stakeholders to transform data into actionable insights and deliver high-quality dashboards and reports.

Key Responsibilities

• Design, develop, and maintain interactive Power BI dashboards and reports.
• Create complex DAX measures, calculated columns, and calculated tables to meet business requirements.
• Develop and optimize SQL queries, stored procedures, views, and ETL processes.
• Design and implement scalable Star Schema and Snowflake Data Models.
• Perform report and model performance tuning using DAX Studio.
• Utilize Tabular Editor for model management, calculation groups, best practice analysis, and metadata enhancements.
• Manage model deployment, comparison, and version control using ALM Toolkit.
• Configure and manage Power BI Workspaces, Apps, Gateways, and Security (RLS/OLS).
• Work extensively with Power BI Service/Web Experience, including dataset refresh schedules, deployment pipelines, subscriptions, and workspace administration.
• Collaborate with business users to gather and analyze reporting requirements.
• Ensure data accuracy, governance, security, and report performance.
• Troubleshoot data-related issues and implement effective solutions.
• Create technical documentation and provide knowledge transfer to support teams.

Required Skills

Technical Skills

• Strong experience in Microsoft Power BI Development.
• Expertise in DAX (Data Analysis Expressions).
• Advanced knowledge of SQL Server/T-SQL and query optimization.
• Strong understanding of Data Modeling concepts (Star Schema, Snowflake Schema, Fact & Dimension Tables).
• Hands-on experience with Tabular Editor.
• Experience using DAX Studio for model and query performance tuning.
• Experience with ALM Toolkit for model comparison and deployment.
• Strong understanding of Power BI Service/Web Experience.
• Knowledge of Power Query (M Language).
• Experience with Row-Level Security (RLS) and data governance.
• Understanding of data warehousing and ETL concepts.

About the company

The client is a quantitative investment firm focused on Indian financial markets. They operate a multi-strategy, multi-manager platform designed to generate consistent, risk- adjusted returns.

Their approach combines systematic investment methods, rigorous quantitative research and institutional-grade manager evaluation. We bring together research, technology and data to build scalable investment solutions.

Role Overview

We are seeking a Quantitative Developer with strong C++ and Python expertise to convert mathematical models and research prototypes into reliable, high-performance analytical engines.

You will work closely with Quantitative Research, Data Engineering, AI and Product Engineering teams throughout the full model lifecycle—from research handover and production implementation to validation, deployment and ongoing support.

This role is ideal for someone who enjoys working at the intersection of quantitative finance, numerical computing and production software engineering.

Key Responsibilities

Research Production

• Translate mathematical models and Python research prototypes into robust, production-quality C++.
• Develop reusable components for risk analytics, forecasting, portfolio analysis and simulation.
• Build efficient Python interfaces for C++ components using pybind11 or similar technologies.
• Ensure production implementations remain mathematically and numerically consistent with the underlying research.
• Establish clear and reproducible processes for transitioning models from research to production.

Engine Development and Validation

• Design and develop analytical engines capable of processing historical, batch and streaming data.
• Integrate calculation components with data pipelines, APIs, databases and downstream applications.
• Validate production implementations against research prototypes, benchmark datasets and expected results.
• Develop automated numerical, unit, integration, regression and performance tests.
• Identify and resolve numerical stability, precision and edge-case issues.
• Optimize calculation speed, memory usage, concurrency and scalability.
• Profile and benchmark critical components to meet defined performance requirements.

Deployment and Delivery

• Package analytical engines as libraries, services, APIs or containers.
• Support deployment across internal infrastructure and client-controlled environments.
• Configure engines for different datasets, workflows and institutional requirements.
• Assist with integration testing, production upgrades, issue diagnosis and technical troubleshooting.
• Implement appropriate logging, monitoring and error-handling capabilities.
• Document interfaces, assumptions, configurations, dependencies and deployment requirements.

Collaboration and Ownership

• Work closely with Quantitative Research, Data Engineering, AI and Product Engineering teams.
• Participate in technical design discussions, code reviews and quantitative model reviews.
• Communicate implementation trade-offs, constraints and risks clearly to technical and quantitative stakeholders.
• Take end-to-end ownership of assigned components, from research handover through production deployment and support.
• Contribute to engineering standards, reusable libraries and development best practices.

Required Qualifications

• Bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, Statistics, Physics, Quantitative Finance or a related discipline.
• Strong professional programming experience in modern C++, including object- oriented and generic programming.
• Proficiency in Python and scientific-computing libraries such as NumPy, pandas or SciPy.
• Experience translating mathematical or analytical prototypes into production software.
• Strong understanding of algorithms, data structures, software architecture and design principles.
• Experience building automated unit, integration and performance tests.
• Familiarity with numerical methods, floating-point behaviour and numerical validation.
• Experience profiling and optimizing compute-intensive or data-intensive applications.
• Proficiency with Git and modern software-development practices.
• Strong analytical, debugging and problem-solving skills.
• •Ability to work effectively with both researchers and software engineers.

Preferred Qualifications

• Experience with pybind11, Boost.Python, Cython or similar interoperability technologies.
• Knowledge of quantitative finance, portfolio analytics, risk modelling, forecasting or simulation.
• Familiarity with time-series data and financial-market datasets.
• Experience developing applications that process batch or real-time streaming data.
• Exposure to concurrent, parallel or distributed computing.
• Experience with containerization and deployment technologies such as Docker.
• Familiarity with Linux environments, CI/CD pipelines and cloud or on-premises infrastructure.
• Experience building analytical libraries, calculation services or APIs for institutional users.
• Knowledge of Indian financial markets is advantageous

This role will be permanent with NAM info and deploy to client location Hyderabad & Pune.

Work Mode: WORK FROM OFFICE

Role Descriptions:

• Perform detailed data analysis and support business decision-making
• Gather and document business requirements and translate them into technical specifications
• Work closely with stakeholders to define data needs and reporting requirements
• Create user stories, functional specifications, and support UAT activities
• Ensure alignment between business objectives and data solutions

Required Skills:

• Strong expertise in SQL and data querying
• Proven experience in data analysis, requirement gathering, and stakeholder management
• Ability to translate business requirements into technical solutions and user stories
• Good understanding of data models, reporting, and analytics concepts

Skills: Business Analysis~ORACLE SQL

Locations: ~HYDERABAD~PUNE~

Desire candidate

• Candidate should have valid PF.

Job Summary

We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate should have strong expertise in SQL, Python, Linux, and modern data engineering practices to support data integration, transformation, and analytics.

Key Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines.
• Write efficient and optimized SQL queries for data extraction, transformation, and reporting.
• Develop automation scripts using Python for data processing and workflow optimization.
• Work with Linux environments for deployment, monitoring, and troubleshooting.
• Ensure data quality, integrity, and reliability across data platforms.
• Collaborate with data analysts, software engineers, and business stakeholders to deliver data solutions.
• Monitor, troubleshoot, and optimize data pipelines for performance and scalability.
• Implement best practices for data security, governance, and documentation.

Required Skills

• Strong experience in Data Engineering concepts and ETL/ELT processes.
• Proficiency in SQL, including query optimization and database design.
• Strong programming skills in Python.
• Hands-on experience with Linux commands, shell scripting, and system administration basics.
• Experience with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
• Familiarity with Git/version control.
• Strong analytical and problem-solving skills.

Preferred Skills

• Experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of Apache Spark, Airflow, Kafka, or similar data engineering tools.
• Experience with data warehousing solutions and big data technologies.
• Understanding of CI/CD pipelines and containerization (Docker/Kubernetes).

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Relevant certifications in cloud or data engineering are an added advantage.

Years of Exp: 5 to 8 Years (Relevant 5+ Years)

Location: Hyderabad

Notice Period: Immediate to 20 days

Offshore: Data Governance Analyst

Position Summary

Execute day-to-day Data Governance activities for RTB initiatives under the direction of the Onshore Lead. The role will focus on producing accurate, complete, and traceable governance artifacts that support enterprise standards, control requirements, and audit readiness.

Key Responsibilities

Register and maintain data assets, reports, and data products in Collibra and Data Marketplace.

Capture and validate business, technical, and operational metadata.

Document end-to-end data lineage, including sources, targets, transformations, and data movement.

Support business glossary, data classification, ownership, stewardship, and authoritative source documentation.

Assist with data quality rule documentation, issue tracking, and remediation follow-up.

Coordinate with data owners, engineers, architects, and application teams to resolve documentation gaps.

Maintain governance evidence, decisions, status reports, and action items.

Track work through Jira and escalate blockers promptly to the Onshore Lead.

Support multiple RTB workstreams while meeting established quality and delivery expectations.

Required Qualifications

Experience in Data Governance, Data Management, metadata management, lineage, or data quality.

Working knowledge of Collibra or a comparable governance platform.

Understanding of data warehousing, data modeling, ETL/data pipelines, and system-to-system data flows.

SQL proficiency and familiarity with cloud data platforms, preferably Snowflake.

Strong analytical, documentation, communication, and organizational skills.

Ability to work effectively in an onshore-offshore delivery model.

Preferred Qualifications

Experience with Collibra or similar Data Governance Platforms, Jira, Confluence, Cloud Data Solutions, Excel

Financial-services or regulated-industry experience.

Familiarity with Agile delivery and audit or regulatory documentation.