Responsibilities

– Development, ownership and implementation of a RoadMap for product user engagement
– Designing and improving custom funnels.
– Interaction with the product team and analysts to generate insights, create a backlog of hypotheses and verify them through A/B tests
– Formulation of product requirements and management of cross-functional teams at all stages of implementation
– Continuous evaluation of the effectiveness of the product and its optimization based on user behavior and feedback

Requirements

– Work experience of at least 2 years as a Product Manager/ Product Analyst in a technology company (fintech or B2C will be a plus)
– Experience in managing cross-functional teams or running cross-functional projects
– Analytical background: experience working with data, defining metrics and drawing conclusions
– Basic experience working with SQL for ad-hoc analytics (would be a big plus)
– Experience in testing and validating hypotheses (for example, A/B tests)
– Proficiency in English at the B2 level and above for effective interaction with an international team

We offer

– Flexible work format from the office
– Medical insurance from the first day
– Budget for education: language courses, trainings, certifications
– Compensation for sports and mental health expenses
– 20 working days of vacation and paid sick leave
- The salary level is discussed at the interview

Contact information

•  aymaral.andossova@dif.tech

Responsibilities

– Leadership, mentoring and development of the data analyst team - support their professional growth and ensure high quality of all analytical areas
– Defining strategies and implementing data—driven collection initiatives - identifying opportunities, evaluating effectiveness, and developing improvements
– Full cycle of collection analytics: from building reporting systems and conducting A/B tests to ad-hoc analysis and transformation of insights into actions
– Control of the team's work on monitoring and analyzing key metrics — Cure Rate, Roll Rate, Flow Rate, PTP, KPTP, RPC, Contact Rate — ensuring that the analysis results are transformed into measurable improvements
– Close collaboration with digital channel and call center teams to improve the quality of customer interactions and optimize the efficiency of collection processes
– Testing and implementation of new tools and initiatives that enhance the efficiency and effectiveness of the collection business

Requirements

– 5+ years of experience in data analytics and at least 2 years in a management role, including leadership and development of analytical teams
– Proven work experience in fintech, a large technology company, or other fast-growing data-driven environment
– Strong technical skills in SQL and Python; practical experience with data visualization tools (Tableau or similar)
– Strong experience in designing, conducting, and analyzing A/B test results to support product and strategic decisions
– In-depth expertise in building and analyzing reports, as well as in implementing data-driven solutions
– Experience working with ML models
– Excellent communication skills — ability to present analysis results to senior management and cross-functional teams
– Proficiency in English at the B2 level and above

That would be a plus

– Work experience in collection, banking or financial services
– Knowledge of key collection metrics

We offer

– Flexible work format from the office
– Medical insurance from the first day
– Budget for education: language courses, trainings, certifications
– Compensation for sports and mental health expenses
– 20 working days of vacation and paid sick leave
- The salary level is discussed at the interview

Contact information

•  aymaral.andossova@dif.tech

Responsibilities

– Analysis, testing and implementation of anti-fraud rules based on macro data and specific cases
– Responsibility for key anti-fraud metrics, including precision, recall, and false positive rate
– Interaction with the development team to integrate anti-fraud measures into existing systems
– Risk assessment of new projects to identify potential fraud threats and develop mechanisms to minimize them
– Building and optimizing processes for the operational team in order to increase the effectiveness of fraud detection and prevention
– Interact with the compliance and legal department teams to comply with regulatory requirements and industry best practices
– Responding to new fraud trends and technologies to continuously improve anti-fraud strategies

Requirements

– Work experience of at least 2 years with anti-fraud models in the banking or financial sector
– A general understanding of banking processes and the regulatory environment
– Higher education or Master's degree (preferably mathematics, physics, IT, economics or computer science)
– Proficiency in SQL and Python for data analysis and modeling
– Experience working with development and cross-functional teams to implement anti-fraud solutions
– Strong analytical skills and willingness to solve problems based on data
– Proficiency in written and spoken English

That would be a plus

– Experience in system analysis or project management
– Knowledge of Mastercard's compliance and fraud prevention requirements
– Familiarization with machine learning methods for fraud detection

We offer

– Flexible work format from the office
– Medical insurance from the first day
– Budget for education: language courses, trainings, certifications
– Compensation for sports and mental health expenses
– 20 working days of vacation and paid sick leave
- The salary level is discussed at the interview

Contact information

•  aymaral.andossova@dif.tech

Responsibilities:
– Analyze complex unstructured datasets;
– Follow the latest developments in the field of Data Science;
– Develop c models using ML algorithms;
– Optimize processes to improve data processing efficiency;
– Clearly and clearly communicate the results of the analysis to the stakeholders.

Requirements:
– Work experience of at least 3 years in a similar position;
– Good knowledge of mathematical statistics and probability theory;
– Deep understanding of machine learning algorithms (GBM, MLP, CNN, RNN, Transformer, etc.);
– Good communication skills;
– The ability to find a balance between the complexity of solutions and their practical applicability;

It will be a plus:
– Experience in participating in competitions on data analysis and model development in the banking sector;
– Specialized mathematical or technical education (MSU, MIPT, HSE, MSTU, MEPhI, NES).

We offer:
– Flexible work format from the office;
– Medical insurance from the first day;
– Budget for education: language courses, trainings, certifications;
– Compensation for sports and mental health expenses;
– 20 working days of vacation and paid sick leave
- The salary level is discussed at the interview

Contact information

•  aymaral.andossova@dif.tech

Responsibilities:
– Evaluate the profitability of products using the NPV approach;
– Develop and improve NPV calculation models;
– Create reporting requirements;
– Interact with product and technical teams to implement solutions in production.

Requirements:
– Work experience of at least 2 years in the field of classical machine learning, NPV modeling or related fields;
– Knowledge of mathematical statistics and econometrics;
– Deep understanding of probability theory;
– Experience working with Python and ML libraries;
– Good communication skills;
– Analytical thinking and a systematic approach to solving problems;

It will be a plus:
– Experience in building financial efficiency assessment models;
– Understanding the specifics of banking decisions and product hypotheses;
– Experience participating in Olympiads in mathematics, economics, physics or computer science
– Education at a technical or mathematical university (Moscow State University, MIPT, HSE, MEPhI, MSTU, NES, etc.);

We offer:
– Flexible work format from the office;
– Medical insurance from the first day;
– Budget for education: language courses, trainings, certifications;
– Compensation for sports and mental health expenses;
– 20 working days of vacation and paid sick leave
- The salary level is discussed at the interview

Contact information

•  aymaral.andossova@dif.tech

Responsibilities:
– Explore the market and build partnerships with key data providers in Mexico (credit bureaus, tax authorities, alternative data sources);
– Develop and maintain analytical data storefronts based on external sources for subsequent use in scoring models;
– Negotiate with data providers on issues of quality, cost, and ease of integration;
– Design and implement pipelines for processing and analyzing information from various sources;
– Analyze the competitive environment in the Mexican credit market, identifying new approaches to working with data;
– Participate in the development and adjustment of the company's credit strategy based on analytical findings;
– Monitor data quality and compliance with regulatory requirements when working with external sources.

Requirements:
– Experience of at least 2-3 years in the field of data analysis and credit risk assessment;
– Proficiency in SQL, Python, and data visualization tools;
– Understanding the principles of machine learning and their application in scoring and classification tasks;
– Experience working with external data providers, credit bureaus or alternative sources of information;
– Knowledge of the Mexican financial market and local regulations will be an advantage;
– The ability to negotiate and establish communication both with external partners and within the team;
– The ability to work independently, while effectively interacting with cross-functional teams;
– English language proficiency at least B2 level — for communication with an international team.

It will be a plus:
– Knowledge of the specifics of working with Mexican tax and financial institutions;
– The practice of introducing non-standard data sources into decision-making models.

We offer:
– Flexible work format from the office;
– Medical insurance from the first day;
– Budget for education: language courses, trainings, certifications;
– Compensation for sports and mental health expenses;
– 20 working days of vacation and paid sick leave
- The salary level is discussed at the interview

Contact information

•  aymaral.andossova@dif.tech

Responsibilities:
– Responsible for risk control in the following areas: credit, currency, strategic and liquidity risks — acting as the second line of defense in the company's risk management system;
– Develop, implement and automate a unified risk management system;
– Analyze regulatory methodologies applied in Mexico (CNBV, Banxico) and internationally (Basel, IFRS), and adapt best practices to the processes of the PLATA;
– Study internal and external data sources to identify potential portfolio risks, build econometric models to predict dynamics and identify atypical behavior;
– Create clear visualizations and presentations to effectively communicate conclusions to managers and initiate necessary actions.

Requirements:
– Work experience of at least 3 years in the field of risk and data analysis, preferably in credit institutions or consulting;
– Higher education in the field of exact sciences, economics or finance;
– Excellent analytical skills, experience in statistical analysis, model building and insight extraction from complex datasets;
– Proficiency in SQL and Python (or R); experience working with Tableau (or Apache Superset) and Excel is required;
– The ability to work both independently and in a team, in a rapidly changing environment;
– Presentation skills and the ability to simply explain complex things;
– The English language level is at least B2 — for interaction with an international team.

It will be a plus:
– Experience working with international regulatory standards;
– Participation in projects with the transformation of approaches to portfolio management in credit institutions.

We offer:
– Flexible work format from the office;
– Medical insurance from the first day;
– Budget for education: language courses, trainings, certifications;
– Compensation for sports and mental health expenses;
– 20 working days of vacation and paid sick leave
- The salary level is discussed at the interview

Contact information

•  aymaral.andossova@dif.tech

Responsibilities:
– Explore the market and build partnerships with key data providers in Mexico (credit bureaus, tax authorities, alternative data sources);
– Develop and maintain analytical data storefronts based on external sources for subsequent use in scoring models;
– Negotiate with data providers on issues of quality, cost, and ease of integration;
– Design and implement pipelines for processing and analyzing information from various sources;
– Analyze the competitive environment in the Mexican credit market, identifying new approaches to working with data;
– Participate in the development and adjustment of the company's credit strategy based on analytical findings;
– Monitor data quality and compliance with regulatory requirements when working with external sources.

Requirements:
– Experience of at least 2-3 years in the field of data analysis and credit risk assessment;
– Proficiency in SQL, Python, and data visualization tools;
– Understanding the principles of machine learning and their application in scoring and classification tasks;
– Experience working with external data providers, credit bureaus or alternative sources of information;
– Knowledge of the Mexican financial market and local regulations will be an advantage;
– The ability to negotiate and establish communication both with external partners and within the team;
– The ability to work independently, while effectively interacting with cross-functional teams;
– English language proficiency at least B2 level — for communication with an international team.

It will be a plus:
– Knowledge of the specifics of working with Mexican tax and financial institutions;
– The practice of introducing non-standard data sources into decision-making models.

We offer:
– Flexible work format from the office;
– Medical insurance from the first day;
– Budget for education: language courses, trainings, certifications;
– Compensation for sports and mental health expenses;
– 20 working days of vacation and paid sick leave
- The salary level is discussed at the interview

Contact information

•  aymaral.andossova@dif.tech