Data Scientist, Risk Data Analytics

About the Opportunity Job Type Permanent Application Deadline 20 June 2025 Title Data Scientist Risk Data Analytics Department Data Value Location Gurgaon Reports To Associate Director Risk Data Analytics Level 5 We re proud to have been helping our clients build better financial futures for over 50 years How have we achieved this By working together - and supporting each other - all over the world So join our Data Value team and feel like you re part of something bigger About Fidelity International Fidelity International offers investment solutions and services and retirement expertise to more than 2 5 million customers worldwide As a privately held purpose-driven company with a 50-year heritage we think generationally and invest for the long term Operating in more than 25 locations and with 893 2 billion in total assets our clients range from central banks sovereign wealth funds large corporates financial institutions insurers and wealth managers to private individuals Our Global Platform Solutions business provides individuals advisers and employers with access to world-class investment choices third-party solutions administration services and pension guidance Together with our Investment Solutions Services business we invest 437 billion on behalf of our clients By combining our asset management expertise with our solutions for workplace and personal investing we work together to build better financial futures for millions of people around the world Our clients come from all walks of life and so do we We are proud of our inclusive culture and encourage applications from the widest mix of talent whatever your age gender ethnicity sexual orientation gender identity social background and more We are a disability-friendly company and would welcome a conversation with you if you feel you might benefit from any reasonable adjustments to perform to the best of your ability during the recruitment process and beyond We are committed to being a truly flexible employer encouraging and trusting our people to perform their role in the way that works best for them our business our colleagues and our clients We offer the maximum possible flexibility over where and when you work for all considering your role and any local regulations We call this new approach dynamic working Find out more about what we do our history our new approach of dynamic working and how you could be a part of our future at About Global Risk The Global Risk team in Fidelity covers the management oversight of Fidelity s risk profile including key risk frameworks policies and procedures and oversight and challenge processes The team partner with the businesses to ensure Fidelity manages its risk profile within defined risk appetite The team comprises risk specialists covering all facets of risk management including investment financial non-financial and strategic risk As part of a broader General Counsel team the Risk team collaborates closely with Compliance Legal Tax and Corporate Sustainability colleagues About Risk Data Analytics Hub The vision of Risk Data Analytics Hub is to establish a data-centric risk function that is forward-thinking resilient and proactive The hub s mission is to enhance risk management processes and unlock innovative opportunities in the ever-changing risk and business landscape The Hub has made significant strides in the Investment Risk delivering prominent contributions such as the Fund Performance Monitoring Fund Aggregate Exposures Fund Market Risk Fund Liquidity Risk and other comprehensive monitoring and reporting dashboards These tools have been crucial in supporting risk oversight and regulatory submissions The Hub s goal is to scale this capability across global risk using data-driven insights to uncover hidden patterns and predict emerging risks This will enable decision-makers to prioritise actions that align with business objectives The approach is to dismantle silos and foster collaboration across the global risk team introducing new tools techniques and innovation themes to enhance agility About your role You will be expected to take a leading role in developing the Data Science and Advanced Analytics solutions for our business This will involve Engaging with the key stakeholders to understand various subject areas in Global Risk Team including Investment Risk Non-Financial Risk Enterprise Risk Model Risk Enterprise Resilience etc Implement advanced analytics solutions on On-Premises Cloud platforms develop proof-of-concepts and engage with internal and external ecosystem to progress the proof of concepts to production Engaging and collaborating with different other internal teams like Data Lake Data Engineering DevOps MLOps Technology team etc for development of new tools capabilities and solutions Maximize adoption of Cloud Based advanced analytics solutions Build out sandbox analytics environments using Snowflake AWS Adobe Salesforce Support delivered models and infrastructure on AWS including data changes and model tuning About you Key Responsibilities Developing and Delivering Data Science solutions for business 40 Partner with internal FIL teams external ecosystem to design and deliver advanced analytics enabled Data Science solutions Create advanced analytics solution on quantitative and text data using Artificial Intelligence Machine Learning and NLP techniques Create compelling visualisations that enable the smooth consumption of predictions and insights for customer benefit Stakeholder Management 30 Works with Risk SMEs Managers stakeholders and sponsors to understand the business problem and translate it into appropriate analytics solution Engages with key stakeholders for smooth execution delivery implementation and maintenance of solutions Adoption of Cloud enabled Data Science solutions 20 Maximize Adoption of Cloud Based advanced analytics solution Build out sandbox analytics environments using Snowflake AWS Adobe Salesforce Deploy solutions in productions while adhering to best practices involving Model Explainability MLOps Feature Stores Model Management Responsible AI etc Collaboration and Ownership 10 Sharing of knowledge best practices with the team including coaching or training in some of deep learning machine learning methodologies Provides mentoring coaching and consulting advice and guidance to staff e g analytic methodologies data recommendations Takes complete independent ownership of the projects and the initiatives in the team with the minimal support Experience and Qualifications Required Qualifications Engineer from IIT Master s in field related to Data Science Economics Mathematics Tie1 Institutions like ISI Delhi School of Economics M B A from tier 1 institutions Must have Skills Experience Required Overall 9 years of experience in Data Science and Analytics 5 years of hands-on experience in - Statistical Modelling Machine Learning Techniques Natural Language Processing Deep Learning 5 years of experience in Python Machine Learning Deep Learning Excellent problem-solving skills Should be able to run analytics applications such as Python SAS and interpret statistical results Implementation of models with clear measurable outcomes Good to have Skills Experience Required Ability to engage in discussion with senior stakeholders on defining business problems designing analyses projects and articulating analytical insights to stakeholders Experience on SPARK Hadoop Big Data Platforms is a plus Experience with unstructured data and big data Experience with secondary data and knowledge of primary market research is a plus Ability to independently own and manage the projects with minimal support Excellent analytical skills and a strong sense for structure and logic Ability to develop test and validate hypotheses Feel rewarded For starters we ll offer you a comprehensive benefits package We ll value your wellbeing and support your development And we ll be as flexible as we can about where and when you work - finding a balance that works for all of us It s all part of our commitment to making you feel motivated by the work you do and happy to be part of our team For more about our work our approach to dynamic working and how you could build your future here visit careers fidelityinternational com For more about our work our approach to dynamic working and how you could build your future here visit careers fidelityinternational com