Director, Advanced Data Analytics and Insights at Fidelity Investments

, , India -

Full Time

Start Date

Immediate

Expiry Date

27 Mar, 26

Salary

0.0

Posted On

27 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, AWS, A/B Testing, Predictive Modeling, Stakeholder Management, Communication, Risk Governance, Fraud Detection, Data Science, Analytics, Leadership, Fraud Strategy, Payment Optimization, Forecasting

Industry

Financial Services

Description

Job Description: Job Title: Director, Advanced Data Analytics and Insights The Purpose of Your Role: Fidelity’s Fraud Risk and Control (FRC) organization is seeking a hands-on leader to lead our Fraud Analytics function. Fraud Risk and Control, within Enterprise Cyber Security, is responsible for preventing, detecting, and responding to fraud incidents across the entire Fidelity enterprise. This role requires a strong blend of technical expertise, business acumen, and leadership to develop fraud loss and performance reporting that will drive risk mitigation, optimize decision strategies, and support cross-functional product and engineering initiatives. The Team: Fraud Analytics is part of Fraud Risk & Control and plays a critical role in the protection of Fidelity assets from account takeover, account owner fraud and Identity theft. Fraud Analytics team are working together with Cyber Fraud Fusion Center and Investigation Teams as well as business partners across Enterprise. The Value You Deliver: In this role, your focus will be on building fraud reporting capabilities to define and monitor key risk indicators related to loss reduction, control efficacy, detection strategy and fraud operational efficiency. You will manage team and global leadership stakeholders. Build and lead the fraud reporting, develop KPI and strategy function including Identify fraud trends/patterns and detection efficacy. Build Capability of predictive models and forecasting tools for fraud loss, customer service demand, and fraud detection. Leverage analytics to identify enhancement opportunities and more granular insights that can be acted upon, while ensuring adherence to Fraud Policy. Partner with product, engineering, and finance teams to drive data-driven decision-making and cross-functional initiatives. Present insights and strategic recommendations to C-level executives. Design and implement risk strategies for new product launches, ensuring minimal surprises and regulatory compliance. Oversee the creation of self-service analytics tools and dashboards to empower business users and reduce manual reporting efforts. Prioritize and provide a clear line of sight to the most critical work to partners and team members. Develop and ensure the Fraud Risk Management framework is effectively embedded and a sound fraud risk awareness culture. Act quickly and decisively when any risk and control weakness becomes apparent during investigations and ensure these are addressed within an appropriate timeframe and escalated to the relevant stakeholders. Provide directions, guidance and responsible to ensure optimal productivity and performance of the team. The Skills that are Key to this Role Required Skills: Strong technical skills in SQL, Python, AWS, A/B testing, and predictive modeling. Experience working with cross-functional teams including product, engineering, and finance. Excellent communication and stakeholder management skills, with experience presenting to senior leadership. Familiarity with regulatory compliance and risk governance frameworks. The Expertise We’re Looking for: 13+ years of experience in data science, analytics, and risk management. 8+ years in leadership roles. Proven success in building and scaling teams Deep expertise in risk and fraud strategy, personalization, payment optimization, and forecasting. Experience with fraud loss forecasting models, fraud detection tools, and customer engagement analytics. How Your Work Impacts the Organization: Fidelity is rated as one of the most trusted brands in the US Financial industry and “Enterprise Cyber Security (ECS)” is one of the key contributors. Protecting customer’s assets is amongst the top priorities of Fidelity and ECS is entrusted with engaging into initiatives to protect Fidelity’s information against diverse cyber threats. It’s a dynamic organization with highly experienced and competent team with organization & operations aligned with NIST Cyber Security Framework. Team is focused on managing both classical as well evolving risk areas through an optimal combination of People, Process and Technology. Its operations span across the globe to have 24*7 protections to Fidelity’s assets. Location: Chennai Shift timings: Mostly Business as Usual, few times you will work during weekend and off Business hours for escalation. Certifications: Category: Data Analytics and Insights At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want! We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com. Fidelity Investments is an equal opportunity employer. Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation please contact the following: For roles based in the US: Contact the HR Leave of Absence/Accommodation Team by sending an email to accommodations@fmr.com, or by calling 800-835-5099, prompt 2, option 2 For roles based in Ireland: Contact AccommodationsIreland@fmr.com For roles based in Germany: Contact Accommodationsgermany@fmr.com Fidelity Privacy Policy

Responsibilities

The role involves leading the Fraud Analytics function to develop fraud loss and performance reporting, manage team and global leadership stakeholders, and build fraud reporting capabilities. Additionally, it includes designing risk strategies for new product launches and overseeing the creation of self-service analytics tools.