About the job
SummaryBy Outscal
Fraud Analytics role at CRED requires 2+ years experience in fraud & AML analysis, proficiency in SQL & Python, strong data analytics & ML skills, and proven track record of fraud mitigation.
what is CRED?
CRED is an exclusive community for India’s most trustworthy and creditworthy individuals, where the members are rewarded for good financial behavior. CRED was born out of a need to bring back the focus on a long lost virtue, one of trust, the idea being to create a community centered around this virtue. a community that constantly strives to become more virtuous in this regard till they finally scale their behavior to create a utopia where being trustworthy is the norm and not the exception. to build a community like this requires a community of its own; a community special in its own way, working towards making this vision come true.
here’s a thought experiment: what do you get when you put a group of incredibly passionate and driven people and entrust them with the complete freedom to chase down their goals in a completely uninhibited manner? answer: you get something close to what we have at CRED; CRED just has it better.
here’s what will be in store for you at CRED once you join as a part of the team
as a fraud analyst at CRED, you will be at the forefront of identifying, investigating, and preventing fraudulent activities within our platform and safeguarding our members. your role will involve utilizing cutting-edge technology, including machine learning and AI, to analyze vast amounts of data and detect patterns that indicate fraudulent behavior. you will work closely with cross-functional teams to ensure that our fraud prevention strategies are robust, scalable, and the best in the industry
what will you do?
- use advanced analytics and machine learning models to monitor and analyze large datasets, identifying suspicious patterns and transactions
- be responsible for making data-driven decisions to design and implement fraud prevention and detection policies
- collaborate with data science, product, and engineering teams to develop real-time fraud & abuse detection and prevention mechanisms on the platform across different LOBs
- contribute to the creation of innovative fraud prevention strategies that evolve with the latest trends and threats
- stay ahead of emerging fraud trends by continuously updating your knowledge and skills & build safeguards or leading indicators to analyze any anomalies and utilize them in creating new rules and strategies wherever necessary
- play a key role in refining our fraud detection methodologies and processes, ensuring they remain effective in an ever-changing landscape
- identify, measure, define, and control fraud & abuse risk with respect to various operational processes, product features & growth initiatives
- lead investigations into flagged transactions, employing various investigative techniques to uncover fraudulent activities
- ensure that all fraud prevention layers comply with relevant regulations and industry standards
- be responsible for assessing the overall risk of fraud across the platform and implementing controls to mitigate identified risks
you should apply if you:
- have 2+ years of experience in fraud, abuse & AML related analysis, preferably within fintech, banking, or e-commerce environments
- are proficient in handling large data using SQL & Python, with a strong understanding of data analytics and machine learning techniques
- have experience in developing and implementing fraud detection layers across the user journey, with a proven track record of successfully mitigating fraud
- have the ability and habit of learning and figuring out new methods, strategies to proactively identify potential loopholes in any process or features
- are comfortable with ambiguity, believe in first principles, and have the skill to transform broad ideas into action plans
- possess strong analytical skills and the ability to communicate complex findings clearly and concisely to stakeholders
- are proactive, detail-oriented, and able to thrive in a fast-paced environment where you will be expected to manage multiple priorities and work independently
how is life at CRED?
working at CRED would instantly make you realise one thing: you are working with the best talent around you. not just in the role you occupy, but everywhere you go. talk to someone around you; most likely you will be talking to a singer, standup comic, artist, writer, an athlete, maybe a magician. at CRED people always have talent up their sleeves. with the right company, even conversations can be rejuvenating. at CRED, we guarantee a good company.
hard truths: pushing oneself comes with the role. and we realise pushing oneself is hard work. which is why CRED is in the continuous process of building an environment that helps the team rejuvenate oneself: included but not limited to a stacked, in-house pantry, with lunch and dinner provided for all the team members, paid sick leaves and a comprehensive health insurance.
to make things smoother and to make sure you spend time and energy only on the most important things, CRED strives to make every process transparent: there are no work timings because we do not believe in archaic methods of calculating productivity, your work should speak for you. there are no job designations because you will be expected to hold down roles that cannot be described in one word. since trust is a major virtue in the community we have built, we make it a point to highlight it in the community behind CRED: all our employees get their salaries before their joining date. a show of trust that speaks volumes because of the skin in the game.
there are many more such eccentricities that make CRED what it is but that’s for one to discover. if you feel at home reading this, get in touch.
About The Company
Cred is a decentralized global lending platform that facilitates open access to credit anywhere and anytime. Founded by former PayPal financial technology veterans, Cred’s mission is to harness the power of blockchain to allow everyone to benefit from low-cost credit products. Cred brings together a diverse team of entrepreneurial leaders, machine learning, and blockchain technology.
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