Associate Director - Trust & Safety, Decision Sciences

About PhonePe

PhonePe is India’s leading digital payments platform with over 500 million lifetime registered users. Using PhonePe, users can send and receive money, recharge mobile, DTH, data cards, pay at stores, make utility payments, buy gold, and make investments. PhonePe went live for customers in August 2016 and was the first non-banking UPI app and offered money transfer to individuals and merchants, recharges and bill payments to begin with. In 2017, PhonePe forayed into financial services with the launch of digital gold, providing users with a safe and convenient option to buy 24-karat gold securely on its platform. PhonePe has since launched Mutual Funds and Insurance products like tax-saving funds, liquid funds, international travel insurance, Corona Care, a dedicated insurance product for the COVID-19 pandemic among others.

PhonePe launched its Switch platform in 2018, and today its customers can place orders on over 300 apps including Ola, Myntra, IRCTC, Goibibo, RedBus, Oyo etc. directly from within the PhonePe mobile app. PhonePe is accepted at over 18 million merchant outlets across 500 cities nationally.

Culture

At PhonePe, we take extra care to make sure you give your best at work, Everyday! And creating the right environment for you is just one of the things we do. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one. Being enthusiastic about tech is a big part of being at PhonePe. If you like building technology that impacts millions, ideating with some of the best minds in the country and executing on your dreams with purpose and speed, join us!

About the Team: -

The PhonePe T&S Decision Sciences team is a part of the Trust & Safety team which is a high impact team which makes extensive use of data, statistical and quantitative analysis, rules-based methods, and explanatory and predictive modeling to identify and mitigate the fraud, risk and abuse patterns visible on PhonePe platform. Our work increasingly employs specialized competencies, such as advanced analytics, data visualization, application development, and geographical trend analysis.

 As a key member of the PhonePe T&S Decision Sciences team, you will spearhead significant   data driven projects focused on safeguarding the platform for merchants and detecting abusive behaviors. If you're passionate about developing processes and digital tools to enhance the understanding of financial transactions and identify impactful trends affecting millions of customers and merchants, and if you’re eager to collaborate with top professionals to turn your vision into reality swiftly and purposefully, we invite you to join us!

Roles & Responsibilities:

1. Own the fraud, risk and abuse for the entire platform across all BU and fraud MOs
2. Guide and mentor the team to develop strategies to detect, action and resolve end to end risk across the platform and stakeholders. 
3. Align senior leadership across the platform with T&S goals and objectives.
4. Supervise, lead and align teams to meet overall T&S goals.
5. Work closely with the Engineering, Business, Operations, Product, Data Science teams to build capabilities that help with prediction, early detection, quick resolution and governance solutions. 
6. Manage a diverse set of requirements, assess their importance, and prioritize them based on business objectives and available resources.
7. Evaluate trade-offs involved with every decision and articulate with supporting  data to enable decision making for senior leaders.
8. Establish processes and frameworks team efficiency and productivity.
9. Analyze data to detect fraud patterns and conduct a root cause analysis and execute short term and long term resolutions for the team.
10. Ability to understand and follow industry best practices for Fraud Prevention. Leverage information from regulatory changes, new regulations and internal policy changes to better identify new key risk areas.

Education & Preferred Qualifications:

Requirements include, but are not limited to:

1. Bachelor’s in engineering or Master's degree in Management, Mathematics, Statistics or related quantitative discipline
2. 10+ years of experience working closely with data and data derived decision making, communicating and contextualizing complexity to business leaders to enable the decision making. 
3. Strong quantitative abilities, distinctive problem-solving and excellent analytics skills
4. Strong organizational, communication, presentation and project management skills
5. Ability to work independently and to liaise with other departments and coordinate with various  business stakeholders (internal / external).
6. Candidates should have demonstrated experience to work with Fraud and Risk Functions, technology and analytics
7. Experience  in developing and implementing successful fraud prevention and detection strategies will be a plus