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:
– 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:
– 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

– 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

– 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

– 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

– Applying analytical skills to design advanced financial products
– Product management and its key performance metrics
– Managing a team of analysts and building effective team processes
– Development of performance indicators to improve products and business processes
– Identifying insights and generating ideas through data analysis
– Conducting in-depth research and analytical checks
– Design and implementation of monitoring systems for products and operational processes
– Creation of informative reports and interactive dashboards
– Optimization of CJM and conversion funnels
– Assessment of the quality, logic and consistency of business processes
– Development of motivation schemes for operational teams
– Testing hypotheses aimed at improving processes
– Conducting cost analysis to assess operational efficiency

Requirements

– Higher mathematical or technical education (MSU, MIPT, HSE, MSTU, MEPhI or NES)
– Deep knowledge of mathematical statistics and probability theory
– Analytical mindset and systems thinking
– Ability to visualize data and formulate practical conclusions
– Experience in testing and validating hypotheses
– Proficiency in SQL; knowledge of Python or R would be a plus
– Experience working with data visualization tools (Tableau, Superset, etc.)
– The ability to understand business tasks and transform them into analytical tasks
– Experience in building analytical infrastructure and team processes
– Excellent communication skills
– Proficiency in English at the B1 level and above for 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

– Applying analytical skills to design advanced financial products
– Product management and its key performance metrics
– Development of performance indicators to improve products and business processes
– Identifying insights and generating ideas through data analysis
– Conducting in-depth research and analytical checks
– Design and implementation of monitoring systems for products and operational processes
– Creation of informative reports and interactive dashboards
– Optimization of CJM and conversion funnels
– Assessment of the quality, logic and consistency of business processes
– Development of motivation schemes for operational teams
– Testing hypotheses aimed at improving processes
– Conducting cost analysis to assess operational efficiency

Requirements

– Higher mathematical or technical education (MSU, MIPT, HSE, MSTU, MEPhI or NES)
– Deep knowledge of mathematical statistics and probability theory
– Analytical mindset and systems thinking
– Ability to visualize data and formulate practical conclusions
– Experience in testing and validating hypotheses
– Proficiency in SQL; knowledge of Python or R would be a plus
– Experience working with data visualization tools (Tableau, Superset, etc.)
– The ability to understand business tasks and transform them into analytical tasks
– Excellent communication skills
– Proficiency in English at the B1 level and above for 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

– Applying analytical skills to design advanced financial products
– Development of performance indicators to improve products and business processes
– Identifying insights and generating ideas through data analysis
– Conducting in-depth research and analytical checks
– Design and implementation of monitoring systems for products and operational processes
– Creation of informative reports and interactive dashboards
– Optimization of CJM and conversion funnels
– Assessment of the quality, logic and consistency of business processes
– Development of effective motivation schemes for operational teams
– Testing hypotheses aimed at improving processes
– Conducting cost analysis to assess operational efficiency

Requirements

– Higher mathematical or technical education (MSU, MIPT, HSE, MSTU, MEPhI or NES)
– Deep knowledge of mathematical statistics and probability theory
– Analytical mindset and systems thinking
– Ability to visualize data and formulate practical conclusions
– Experience in testing and validating hypotheses
– Ownership of relational databases and SQL
– Excellent communication skills
– Proficiency in English at the B1 level and above for 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

Short description

• We are looking for an attentive and responsible accountant to keep financial records of the company. The specialist will be responsible for accounting for transactions, preparing reports, and verifying the correctness of financial data.

Responsibilities

• Accounting and tax accounting (cash register, bank, sales, salary, etc.) Preparation and submission of reports to government agencies Control of primary documentation and compliance with accounting standards Payroll, vacations, sick days Work with counterparties: reconciliation reports, payment processing, documents Formation of financial reports for management Archiving of accounting documents

Requirements

• Experience as an accountant from 1-3 years Knowledge of accounting and tax legislation of the Republic of Kazakhstan Confident use of 1C / SAP / Accounting programs (specify necessary) Attention to detail, responsibility, accuracy Specialized education (accounting, finance, economics)

Conditions

• Experience as an accountant from 1-3 years Knowledge of accounting and tax legislation of the Republic of Kazakhstan Confident use of 1C / SAP / Accounting programs (specify necessary) Attention to detail, responsibility, accuracy Specialized education (accounting, finance, economics)

Contact information

• +7 747 814 36 20 Madina