תיאור תפקיד:
We are a highly profitable, fast-growing financial technology company powering the future of financial services. Our comprehensive suite of innovative and scalable embedded payments, cards, and lending products deliver financial services for millions of businesses and consumers around the globe. We are backed by leading investors and serve the world’s most essential fintech and technology companies. Together with its partners, we are reshaping global finance and financial inclusion. We are on a mission to build the infrastructure that propels access, inclusion, and the democratization of financial services. You will: Present data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations so they can make informed data driven decisions.
Collaborate with various partners to provide a holistic view of the analysis. Measure and monitor results of applied recommendations and present adjustments.
Develop scenarios involving tuning, calibration, segmentation and optimization.
Provide routine and ad hoc reporting tied to AML/CFT compliance.
Develop insightful and compelling summary reporting and dashboards for management and business line partners.
Support the development of policies and procedures for AML transaction monitoring life cycle, including reviews of scenario validation, segmentation and optimization tools.
דרישות:
You have: Native level English both written and verbal, sufficient for achieving consensus and success in a remote and largely asynchronous work environment and good Hebrew
Significant experience in implementing an end-to-end AML/CFT compliance management platform that includes transaction monitoring tools - Must
3+ years or relevant experience in the data analytics and/or data science field - Must
3+ years' experience using SQL/Python for querying data and for data manipulation / transformation - Must
Experience implementing AML or Fraud Transaction Monitoring in Palantir, a strong advantage
Experience in Business Intelligence/Data Exploration and Visualization tools
Experience in Implementing AML or Fraud Solutions, AML/Fraud Alert Generation Process, Scenario Management
Strong analytic skills and problem solving with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets
Knowledge and understanding of machine learning and artificial intelligence approaches, ideally with experience of applying them in an AML/Fraud context
Excellent computer skills, including proven experience with Microsoft Office suite
Quick thinker, fast learner and problem solver with ability to get things done, from start to end
Good team player, self-motivated and proactive at work
Effective interpersonal, verbal, and written communication skills
היקף משרה:
משרה מלאה
קוד משרה:
511244
אזור:
מרכז - תל אביב, פתח תקווה, רמת גן וגבעתיים, בקעת אונו וגבעת שמואל, חולון ובת-ים, מודיעין, שוהם
שרון - חדרה וזכרון יעקב, נתניה ועמק חפר, רעננה, כפר סבא והוד השרון, ראש העין, הרצליה ורמת השרון
ירושלים - ירושלים, יהודה ושומרון, בית שמש
השפלה - ראשון לציון ונס- ציונה, רמלה לוד, רחובות, יבנה
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תיאור תפקיד:
We’re looking for an organized and self-driven individual to join our Quantitative Strategies Group (QSG) as an Analyst. What You’ll Do As a key member of the Business Risk unit within QSG, you will work on risk model/tool development and management. Help the lead of the unit in second and third line liaisons, working closely with model owners to ensure model compliance.
Under the leadership and mentorship of the lead of the unit, carryout light modeling activities including but not limited to model enhancements, error corrections, what-if analysis and outcome attributions. Author high quality model documentation, execute model monitoring plans and build solutions for identified model issues remediation.
Participate in all model production runs necessary for regulatory, capital management and business processes. Take complete ownership of the assigned procedure, build presentation artifacts, ad-hoc analytics and conduct deep dives.
Maintain model inventory and calendar for different activities like validation, model production for various usages, Q&A with second and third line etc.
Participate in validation discussions with MRM including iterating on validation findings and proposed resolutions. Assist unit lead for off second and third line as well as external regulatory exams.
דרישות:
Education and Experience Strong quantitative & analytical skills: The role requires a strong quantitative background (PhD /Master Degree or equivalent) in Statistics, Mathematics, Operations Research, Physics, or a quantitative science
Minimum 2+ years prior experience in an Analytics function, Model Development or Model Validation. Experience with Credit risk models and experience in model validation is preferable. Past experience working in a Model Risk Management function or a Model Risk Oversight function is a definite plus. Understanding of capital markets, securitizations, consumer credit products a plus.
Strong communication skills: Verbal and Written, as well as excellent negotiation and diplomacy skills required. Risk and control mindset: Ask incisive questions, assess materiality of issues and escalate as required.
Broad knowledge of relevant Modeling frameworks and standards. Sound project management /organizational skills: flexible, adaptable to shifting priorities to achieve the most effective result and able to work in a fast-paced environment is required.
היקף משרה:
משרה מלאה
קוד משרה:
980496
אזור:
מרכז - תל אביב, פתח תקווה, רמת גן וגבעתיים, בקעת אונו וגבעת שמואל, חולון ובת-ים, מודיעין, שוהם
ירושלים - ירושלים, יהודה ושומרון, בית שמש
השפלה - ראשון לציון ונס- ציונה, רמלה לוד, רחובות, יבנה
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