1.0 - 5.0 years

0 Lacs

karnataka

On-site

Toast is driven by building the all-in-one restaurant platform that helps restaurants operate their business, increase sales, engage guests, and keep employees happy. Toast is looking for a Data Analyst for our Fraud and Merchant risk Data Team. This role will be responsible for owning our team's data strategy, providing data visualizations, and working closely with operational teams to understand monitoring needs. Collaboration with different stakeholders and providing solutions is key to this role in driving the process and company's growth. Coordinate with the Fraud and Merchant Risk Teams to understand their reporting needs, and iterate on dashboards and visualizations to allow them to track metrics to achieve their business goals. Work closely with operational teams to build monitoring and alerting to minimize gaps in our fraud and risk program. Ingest data from external vendors and coalesce with Toast data to analyze the efficacy of vendors. Work cross-functionally with other data teams at Toast to ensure data availability and accuracy. Analyze large sets of transaction data to develop a fraud mitigation strategy. The ideal candidate will have 1-2 years of experience in data analysis, with experience in fraud and/or risk being a plus. Very strong SQL skills, R and Python skills, and experience with Hex, Snowflake, and Splunk are advantageous. A data-driven individual with a passion for efficiency, an inquisitive nature, and the ability to work effectively in a dynamic, changing environment with minimal oversight. Flexibility to work in different work environments and US or Night shifts/timings, including weekends, is required. Diversity, Equity, and Inclusion are baked into our recipe for success. At Toast, our employees are our secret ingredient, and we thrive when they thrive. Embracing diversity with authenticity, inclusivity, respect, and humility, we create equitable opportunities for all and deliver exceptional experiences. We thrive together with a hybrid work model that fosters in-person collaboration while valuing individual needs. Building a strong culture of connection, we work together to empower the restaurant community. Toast is committed to creating an accessible and inclusive hiring process. Reasonable accommodations for persons with disabilities are provided to enable them to access the hiring process. If accommodations are needed, please contact candidateaccommodations@toasttab.com. In the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment, and violations are subject to penalties.,

Posted 4 weeks ago

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Senior Manager EXL IT service management

5.0 - 7.0 years

0 Lacs

Gurgaon, Haryana, India

On-site

We are seeking a Senior Quantitative Credit Risk Strategist as part of the team. You will work with other analysts, risk managers and leaders to analyze customer characteristics, identify risk differentiators, and recommend underwriting and collections strategies to achieve the risk and return goals. If you have an analytic and data driven mindset, eye for detail and can-do attitude then you are right for this position. About this role (Responsibilities) Analyze data to identify risk drivers and propose mitigation strategies Work with Data Science team to build and test credit, account management and Collection models Set credit strategy and policy to mitigate risk and drive business growth Improve Collection performance by operational, policy and modeling improvements Set underwriting and account management strategy Collaborate with R+D, Product, and Operations on the test and launch of new features and/or products Skills and Requirements 5+ years of experience in retail/consumer/SMB finance in a credit risk or strategy role preferably in Fintech/banks Ability and experience in writing credit memos and credit decision and strategy documentation Hands on experience in using data and analytics to drive credit risk strategy is required Experience in A/B testing Masters Degree or higher in a quantitative field (Mathematics/Statistics/Economics/OR/Business) Advanced data analytics skills, including use of SQL, Python/R, Excel and data visualization tools such as Tableau/Hex Familiarity with statistical modeling Ability to influence a cross-functional non-hierarchical environment to lead collaborations and drive progress

Posted 2 months ago

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