Software Development Engineer- Data

PositionOverview

JobTitle:SoftwareDevelopmentEngineer2

Department:Technology

Location:BangaloreIndia

ReportingTo:Senior Research Manager - Data

PositionPurpose

-edgedatascienceconceptsintoproduction-readycapabilitiesthatenhanceTookiTakiscompetitiveedgeinfraudpreventionAMLcomplianceanddataintelligence.

The role exists to bridge research and engineering by:

• Designingandexecutingexperimentsonlargecomplexdatasets.
• Prototypingnewdata-drivenalgorithmsforfinancialcrimedetectionandcomplianceautomation.
• Collaboratingacrossproductdatascienceandengineeringteamstotransitionresearchoutcomesintoscalablereal-worldsolutions.
• EnsuringtherobustnessfairnessandexplainabilityofAImodelswithinTookiTakiscomplianceplatform.

KeyResponsibilities

AppliedResearch&Prototyping

• Conductliteraturereviewsandcompetitiveanalysistoidentifyinnovativeapproachesfordataprocessinganalyticsandmodeldevelopment.
• Buildexperimentalframeworkstotesthypothesesusingreal-worldfinancialdatasets.
• Prototypealgorithmsinareassuchasanomalydetectiongraph-basedanalyticsandnaturallanguageprocessingforcomplianceworkflows.

DataEngineeringforResearch

• Developdataingestiontransformationandexplorationpipelinestosupportexperimentation.
• Workwithstructuredsemi-structuredandunstructureddatasetsatscale.
• Ensurereproducibilityandtraceabilityofexperiments.

AlgorithmEvaluation&Optimization

• EvaluateresearchprototypesusingstatisticalMLanddomain-specificmetrics.
• Optimizealgorithmsforaccuracylatencyandscalability.
• Conductrobustnessfairnessandbiasevaluationsonmodels.

Collaboration&Integration

• Partnerwithdatascientiststotransitionvalidatedresearchoutcomesintoproduction-readycode.
• Workcloselywithproductmanagerstoalignresearchprioritieswithbusinessgoals.
• Collaboratewithcloudengineeringteamstodeployresearchpipelinesinhybridenvironments.

Documentation&KnowledgeSharing

• Documentexperimentaldesignsresultsandlessonslearned.
• Sharebestpracticesacrossengineeringanddatascienceteamstoaccelerateinnovation.

QualificationsandSkills

Education

• Required:BachelorsdegreeinComputerScienceDataScienceAppliedMathematicsorrelatedfield.
• Preferred: Masters or PhD in Machine Learning Data Engineering or a related research-intensive fie d.

Experience

• Minimum47yearsindata-centricengineeringorappliedresearchroles.
• Proventrackrecordofdevelopingandvalidatingalgorithmsforlarge-scaledataprocessingormachinelearningapplications.
• Experienceinfinancialservicescomplianceorfrauddetectionisastrongplus.

TechnicalExpertise

• Programming:ProficiencyinScalaJavaorPython.
• DataProcessing:ExperiencewithSparkHadoopandFlink.
• ML/ResearchFrameworks:Hands-onwithTensorFlowPyTorchorScikit-learn.
• Databases:Experiencewithbothrelational(PostgreSQLMySQL)andNoSQLdatabases(MongoDBCassandraElasticSearch).
• CloudPlatforms:ExperiencewithAWS(preferred)orGCPforresearchanddatapipelines.
• Tools:FamiliaritywithexperimenttrackingtoolslikeMLfloworWeights&Biases.
• ApplicationDeployment:StrongexperiencewithCI/CDpracticesContainerizedDeploymentsthroughKubernetesDockeretc.
• Streamingframeworks:StrongexperienceincreatinghighlyperformantandscalablerealtimestreamingapplicationswithKafkaatthecore
• DataLakehouse:Experiencewithoneofthemoderndatalakehouseplatforms/formatssuchasApacheHudiIcebergPaimonisaverystrongplus.

SoftSkills

• Stronganalyticalandproblem-solvingabilities.
• Clearconcisecommunicationskillsforcross-functionalcollaboration.
• Adaptabilityinfast-pacedevolvingenvironments.
• Curiosity-drivenwithabiastowardsexperimentationanditeration.

KeyCompetencies

• InnovationMindset:Abilitytoexploreandtestnovelapproachesthatpushboundariesindataanalytics.
• Collaboration:Workseffectivelywithresearchersengineersandbusinessstakeholders.
• TechnicalDepth:Stronggraspofadvancedalgorithmsanddataengineeringprinciples.
• ProblemSolving:Divesdeepintothelogsmetricsandcodeandidentifyingproblemsopportunitiesforperformancetuningandoptimization
• Ownership:Drivesresearchprojectsfromconcepttoprototypetoproduction.
• Adaptability:Thrivesinambiguityandrapidlychangingpriorities.

Preferred

• CertificationsinAWSBigDataApacheSparkorsimilartechnologies.
• Experienceincomplianceorfinancialservicesdomains.

SuccessMetrics

• ResearchtoProductionConversion:%ofvalidatedresearchprojectsintegratedintoTookiTakisplatform.
• ModelPerformanceGains:Documentedimprovementsinaccuracyspeedorrobustnessfromresearchinitiatives.
• EfficiencyofResearchPipelines:Reducedtimefromideationtoprototypecompletion.
• CollaborationImpact:Positivefeedbackfromcross-functionalteamsonresearchintegration.

Benefits

• CompetitiveSalary:Alignedwithindustrystandardsandexperience.
• ProfessionalDevelopment:Accesstotraininginbigdatacloudcomputinganddataintegrationtools.
• ComprehensiveBenefits:Healthinsuranceandflexibleworkingoptions.
• GrowthOpportunities:CareerprogressionwithinTookitakisrapidlyexpandingServicesDeliveryteam.
  
  

IntroducingTookitaki

Tookitaki:TheTrustLayerforFinancialServices

Tookitakiistransformingfinancialservicesbybuildingarobusttrustlayerthatfocusesontwocrucialpillars:-drivensolutionsforreal-timefrauddetectionandAML(Anti-MoneyLaundering)compliance.

HowWeBuildTrust:OurUniqueValuePropositions

1. AFC Ecosystem Community-Driven Financial Crime Protection: The Anti Financial Crime (AFC) Ecosystem is a community-driven platform that continuously updates financial crime patterns with real-time intelligence from industry experts. This enables our clients to stay ahead of the latest money laundering and fraud tactics. Leading digital banks and payment platforms rely on Tookitaki to protect them against evolving financial crime threats. By joining this ecosystem institutions benefit from the collective intelligence of top industry players ensuring robust protection.
2. FinCense End-to-End Compliance Platform: Our FinCense platform is a comprehensive compliance solution that covers all aspects of AML and fraud prevention from name screening and customer due diligence (CDD) to transaction monitoring and fraud detection. This ensures financial institutions not only meet regulatory requirements but also mitigate risks of non-compliance providing the peace of mind they need as they scale.

IndustryRecognitionandGlobalImpact

100toWatchandChartisRiskTech100.

ServingsomeoftheworldsmostprominentbanksandfintechcompaniesTookitakiiscontinuouslyredefiningthestandardsoffinancialcrimedetectionandpreventioncreatingasaferandmoretrustworthyfinancialecosystemforeveryone.