ION Group is hiring for a FRESHER entry level Data Science Analyst role in India

Position:

• Data Science Analyst under the 2026 Leadership Development Program

• Entry level role designed for fresh graduates with a B.Tech or related qualification

• Positioned within the analytics function, focusing on financial data and predictive modeling

• Part of a structured graduate program aimed at building future leaders within the organization

Company:

• ION Group

• A global financial technology organization delivering trading platforms, workflow automation systems, analytics solutions, and advisory services

• Serving corporations, banks, broker dealers, central banks, and government institutions worldwide

• Established in 1999 with sustained expansion through strategic growth and acquisitions

Location:

• Noida, India

• Office based role within a major corporate hub in the National Capital Region

• Exposure to both domestic and global teams through the organization’s international network

Job type:

• Full time employment

• Structured graduate program aligned with long term career progression

• Permanent role with defined learning pathways and performance milestones

Job mode:

• On site

• Daily collaboration within office premises

• Direct engagement with team members, mentors, and stakeholders

Job requisition id:

• Not explicitly mentioned in the provided description

• Managed internally under the 2026 Leadership Development Program intake

Years of experience:

• 0 to 3 years

• Open to fresh graduates and early career professionals

• Internship or academic project exposure in analytics is beneficial but not mandatory

Company description

• ION Group is an international financial technology organization delivering specialized solutions across trading, risk management, treasury operations, and workflow automation

• Since its founding in 1999, the company has expanded significantly by integrating high performing financial technology businesses under one umbrella

• Its products support over 2,000 large corporations globally, including a significant share of Fortune 500 enterprises and many of the world’s central banks

• More than 800 leading banks and broker dealers rely on its electronic trading platforms to facilitate financial market operations

• With a workforce exceeding 13,000 professionals and offices across more than 40 cities worldwide, the organization operates at a global scale

• The company combines advanced analytics, automation, and financial domain expertise to enable clients to manage cash, commodities, trading operations, and risk exposure efficiently

• Its broad customer base of over 40,000 organizations reflects its strong market presence and trusted reputation

• Continuous investment in technology, analytics, and innovation enables the company to remain competitive in a rapidly evolving financial services sector

• The organization promotes collaboration across geographies, allowing employees to gain exposure to international markets and global financial systems

• A culture focused on innovation, accountability, and growth supports professionals at every stage of their careers

Profile overview:

• The Data Science Analyst joins the analytics team as part of a leadership development initiative tailored for emerging talent

• The role centers on analyzing complex financial datasets and translating quantitative findings into business insights

• The analyst works closely with experienced data scientists to understand modeling techniques and practical applications in financial services

• Responsibilities include supporting data preparation, exploratory analysis, and the development of predictive models

• The position offers hands on exposure to structured and unstructured financial data drawn from real world use cases

• Collaboration with software engineers, business analysts, and domain specialists ensures that analytical outputs align with product and client needs

• The analyst contributes to building visual dashboards and analytical reports to communicate insights effectively

• Exposure to machine learning algorithms and validation processes builds technical confidence and applied problem solving ability

• The program encourages continuous learning in emerging tools, programming libraries, and financial data methodologies

• Through structured mentorship, participants gain clarity on how analytics influences strategic product enhancements and operational decisions

Qualifications:

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, Engineering, or a related quantitative discipline

• Foundational knowledge of statistical principles, probability concepts, and hypothesis testing

• Introductory understanding of machine learning methods such as regression, classification, and clustering

• Familiarity with programming languages including Python or R

• Exposure to data manipulation libraries such as pandas, numpy, and scikit learn

• Working knowledge of SQL and experience performing database queries

• Ability to clean, transform, and preprocess raw datasets for analysis

• Basic experience in exploratory data analysis to detect patterns and irregularities

• Comfort with data visualization tools such as Tableau, Power BI, matplotlib, or seaborn is advantageous

• Understanding of financial markets or a genuine interest in financial technology solutions is beneficial

• Awareness of cloud environments such as AWS, Azure, or GCP is considered an added advantage

• Strong analytical thinking and structured problem solving approach

• Clear verbal and written communication skills for presenting insights to varied audiences

• Team oriented mindset with the ability to collaborate effectively across functions

• Internship experience or academic projects related to analytics or data science strengthen the profile

Additional info:

• The organization may incorporate artificial intelligence tools during certain stages of the recruitment workflow

• Automated systems may assist in screening applications, reviewing resumes, or analyzing candidate responses

• These tools function as support mechanisms for recruiters and do not replace human evaluation

• Final hiring decisions are made by human reviewers after considering multiple assessment inputs

• The leadership development structure offers mentorship from experienced professionals within the analytics function

• Participants receive exposure to production grade financial datasets and enterprise scale systems

• The role provides opportunities to learn how predictive modeling influences product performance and strategic decisions

• Competitive compensation and employee benefits accompany the full time position

• The company promotes an inclusive work culture that values collaboration and knowledge sharing

• Career progression pathways allow high performing graduates to transition into advanced analytical or managerial roles over time

• Continuous professional development is encouraged through internal learning resources and practical assignments

• Working in an on site environment enhances team bonding and direct engagement with cross functional stakeholders

Please click here to apply.