Data Analyst Middle/Middle+ [Risk]

<div class="t396__elem tn-elem tn-elem__7327515811698693224706" data-elem-id="1698693224706" data-elem-type="text" data-field-top-value="430" data-field-left-value="271" data-field-height-value="312" data-field-width-value="634" data-field-axisy-value="top" data-field-axisx-value="left" data-field-container-value="grid" data-field-topunits-value="px" data-field-leftunits-value="px" data-field-heightunits-value="px" data-field-widthunits-value="px" data-field-textfit-value="autoheight" data-field-top-res-320-value="651" data-field-left-res-320-value="10" data-field-width-res-320-value="306" data-field-top-res-480-value="622" data-field-left-res-480-value="80" data-field-width-res-480-value="333" data-field-top-res-640-value="480" data-field-left-res-640-value="60" data-field-width-res-640-value="487" data-field-top-res-960-value="430" data-field-left-res-960-value="152" data-field-width-res-960-value="582" data-fields="top,left,width,height,container,axisx,axisy,widthunits,leftunits,topunits"> <div class="tn-atom"> <div class="t396__elem tn-elem tn-elem__7327515811698693278131" data-elem-id="1698693278131" data-elem-type="text" data-field-top-value="836" data-field-left-value="271" data-field-height-value="156" data-field-width-value="598" data-field-axisy-value="top" data-field-axisx-value="left" data-field-container-value="grid" data-field-topunits-value="px" data-field-leftunits-value="px" data-field-heightunits-value="px" data-field-widthunits-value="px" data-field-textfit-value="autoheight" data-field-top-res-320-value="1384" data-field-left-res-320-value="10" data-field-height-res-320-value="234" data-field-width-res-320-value="306" data-field-container-res-320-value="grid" data-field-top-res-480-value="1302" data-field-left-res-480-value="80" data-field-width-res-480-value="324" data-field-top-res-640-value="937" data-field-left-res-640-value="60" data-field-width-res-640-value="485" data-field-top-res-960-value="862" data-field-left-res-960-value="152" data-fields="top,left,width,height,container,axisx,axisy,widthunits,leftunits,topunits"> <div class="tn-atom"> <div class="t396__elem tn-elem tn-elem__8559900061715530713485" data-elem-id="1715530713485" data-elem-type="text" data-field-top-value="1024" data-field-left-value="271" data-field-height-value="20" data-field-width-value="656" data-field-axisy-value="top" data-field-axisx-value="left" data-field-container-value="grid" data-field-topunits-value="px" data-field-leftunits-value="px" data-field-heightunits-value="px" data-field-widthunits-value="px" data-field-textfit-value="autoheight" data-field-top-res-320-value="1715" data-field-left-res-320-value="12" data-field-width-res-320-value="195" data-field-container-res-320-value="grid" data-field-top-res-480-value="1638" data-field-left-res-480-value="80" data-field-width-res-480-value="318" data-field-top-res-640-value="1204" data-field-left-res-640-value="65" data-field-width-res-640-value="307" data-field-top-res-960-value="1051" data-field-left-res-960-value="153" data-fields="top,left,width,height,container,axisx,axisy,widthunits,leftunits,topunits"> <div class="tn-atom"> <p><strong>Risk Team:</strong></p> <p>We are looking for a <strong>Data Analyst</strong>&nbsp;for our <strong>Risk AI Platform - </strong>the group that owns the data and ML infrastructure behind Plata's credit decisioning. At the center of that infrastructure is our&nbsp;feature store: the system that turns raw external and internal data into the features that power our scoring models, both in research and in real-time production.<br>The role sits at the intersection of data engineering, analytics, and ML: you'll spend most of your time in SQL, dbt, Python, and Snowflake, building reliable pipelines and making sure the features our models consume are correct, consistent, and well-monitored - offline and online.</p> <p><strong>Challenges that await you:</strong></p> <ul> <li>Develop and maintain the feature store: design and optimize dbt models across our multi-layer pipeline, from raw ingestion through parsing, unification, and domain modeling to production-ready feature sets.</li> <li>Onboard new external data sources (credit bureaus, alternative data, identity and scoring providers) into the platform — from raw parsing to production features.</li> <li>Guarantee consistency between training and serving: build checks and monitoring that catch feature drift, mismatches, and data-quality issues before they reach a model.</li> <li>Own data quality and observability for the features you ship — freshness, completeness, lineage, and reconciliation.</li> <li>Work closely with data scientists and ML engineers to productionize features for scoring models, and help turn research feature logic into robust, tested pipeline code.</li> <li>Improve our tooling, standards, and documentation so the whole team ships features faster and more safely.</li> </ul> <p><strong>What makes you a great fit:</strong></p> <ul> <li>2-3 years of experience&nbsp;in a data engineering, analytics engineering, or strongly engineering-oriented data analyst role.</li> <li>Strong SQL: you're comfortable writing and optimizing complex queries.</li> <li>Solid Python for data work (data pipelines, scripting, pandas).</li> <li>Hands-on experience with dbt, or with building ETL/ELT pipelines you can map onto dbt.</li> <li>A working understanding of ML — enough to reason about features, training/serving consistency, and how your pipelines feed a model.</li> <li>A data-quality mindset: you care about correctness, reproducibility, and monitoring, not just getting the number out.</li> <li>B1 or higher English level for effective communication with an international team</li> </ul> <p><strong>Your bonus skills:</strong></p> <ul> <li>Background in Risk, credit, lending, or fintech.</li> <li>Experience with Snowflake (or a comparable cloud data warehouse) and a cloud platform (AWS).</li> <li>Familiarity with feature stores, ML model registries.</li> <li>Comfort with A/B testing and applied statistics.</li> <li>Experience with orchestration and CI/CD for data.</li> </ul> <strong>Our ways of working:</strong></div> </div> <div class="t396__elem tn-elem tn-elem__8559900061715530713504" data-elem-id="1715530713504" data-elem-type="text" data-field-top-value="1060" data-field-left-value="271" data-field-height-value="182" data-field-width-value="598" data-field-axisy-value="top" data-field-axisx-value="left" data-field-container-value="grid" data-field-topunits-value="px" data-field-leftunits-value="px" data-field-heightunits-value="px" data-field-widthunits-value="px" data-field-textfit-value="autoheight" data-field-top-res-320-value="1747" data-field-left-res-320-value="10" data-field-width-res-320-value="303" data-field-container-res-320-value="grid" data-field-top-res-480-value="1670" data-field-left-res-480-value="80" data-field-height-res-480-value="338" data-field-width-res-480-value="321" data-field-container-res-480-value="grid" data-field-top-res-640-value="1239" data-field-left-res-640-value="65" data-field-width-res-640-value="489" data-field-top-res-960-value="1087" data-field-left-res-960-value="150" data-fields="top,left,width,height,container,axisx,axisy,widthunits,leftunits,topunits"> <div class="tn-atom"> <ul> <li><strong>Innovative Spirit:&nbsp;</strong>A commitment to creativity and groundbreaking solutions</li> <li><strong>Honest Feedback:</strong>&nbsp;valuing open, transparent communication</li> <li><strong>Supportive Team:&nbsp;</strong>a strong, collaborative community</li> <li><strong>Celebrating Achievements:&nbsp;</strong>recognizing our wins together</li> <li><strong>High-Tech Environment:</strong>&nbsp;a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances</li> </ul> </div> </div> <div class="t396__elem tn-elem tn-elem__8559900061715530713509" data-elem-id="1715530713509" data-elem-type="text" data-field-top-value="1274" data-field-left-value="271" data-field-height-value="20" data-field-width-value="656" data-field-axisy-value="top" data-field-axisx-value="left" data-field-container-value="grid" data-field-topunits-value="px" data-field-leftunits-value="px" data-field-heightunits-value="px" data-field-widthunits-value="px" data-field-textfit-value="autoheight" data-field-top-res-320-value="2110" data-field-left-res-320-value="11" data-field-width-res-320-value="210" data-field-container-res-320-value="grid" data-field-top-res-480-value="2032" data-field-left-res-480-value="80" data-field-width-res-480-value="318" data-field-top-res-640-value="1530" data-field-left-res-640-value="69" data-field-width-res-640-value="307" data-field-top-res-960-value="1300" data-field-left-res-960-value="154" data-fields="top,left,width,height,container,axisx,axisy,widthunits,leftunits,topunits"> <div class="tn-atom"><strong>Our benefits:</strong></div> </div> <div class="t396__elem tn-elem tn-elem__8559900061715530713512" data-elem-id="1715530713512" data-elem-type="text" data-field-top-value="1310" data-field-left-value="271" data-field-height-value="208" data-field-width-value="634" data-field-axisy-value="top" data-field-axisx-value="left" data-field-container-value="grid" data-field-topunits-value="px" data-field-leftunits-value="px" data-field-heightunits-value="px" data-field-widthunits-value="px" data-field-textfit-value="autoheight" data-field-top-res-320-value="2142" data-field-left-res-320-value="10" data-field-width-res-320-value="308" data-field-container-res-320-value="grid" data-field-top-res-480-value="2064" data-field-left-res-480-value="80" data-field-height-res-480-value="338" data-field-width-res-480-value="333" data-field-container-res-480-value="grid" data-field-top-res-640-value="1565" data-field-left-res-640-value="65" data-field-width-res-640-value="487" data-field-top-res-960-value="1336" data-field-left-res-960-value="150" data-field-width-res-960-value="582" data-fields="top,left,width,height,container,axisx,axisy,widthunits,leftunits,topunits"> <div class="tn-atom"> <ul> <li data-list="bullet"><strong data-stringify-type="bold">Relocation support</strong> to one of our hubs — Cyprus, Serbia, Georgia or Kazakhstan — with assistance for the employee and their family</li> <li><strong>Flexible work&nbsp;</strong>from one of our offices or remote</li> <li><strong>Healthcare</strong> <strong>Coverage</strong></li> <li data-list="bullet"><strong>Education Budget:</strong>&nbsp;Language lessons, professional training and certifications</li> <li data-list="bullet"><strong>Wellness Budget:</strong>&nbsp;Mental health and fitness activity reimbursements</li> <li data-list="bullet"><strong>Vacation policy:</strong>&nbsp;20 days of annual leave and paid sick leave</li> </ul> </div> </div> </div> </div> </div> </div> <p>&nbsp;</p>